Alternatives to Azure Open Datasets

Compare Azure Open Datasets alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Azure Open Datasets in 2025. Compare features, ratings, user reviews, pricing, and more from Azure Open Datasets competitors and alternatives in order to make an informed decision for your business.

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    Vertex AI
    Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. Use Vertex Data Labeling to generate highly accurate labels for your data collection. Vertex AI Agent Builder enables developers to create and deploy enterprise-grade generative AI applications. It offers both no-code and code-first approaches, allowing users to build AI agents using natural language instructions or by leveraging frameworks like LangChain and LlamaIndex.
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    dbt

    dbt

    dbt Labs

    dbt helps data teams transform raw data into trusted, analysis-ready datasets faster. With dbt, data analysts and data engineers can collaborate on version-controlled SQL models, enforce testing and documentation standards, lean on detailed metadata to troubleshoot and optimize pipelines, and deploy transformations reliably at scale. Built on modern software engineering best practices, dbt brings transparency and governance to every step of the data transformation workflow. Thousands of companies, from startups to Fortune 500 enterprises, rely on dbt to improve data quality and trust as well as drive efficiencies and reduce costs as they deliver AI-ready data across their organization. Whether you’re scaling data operations or just getting started, dbt empowers your team to move from raw data to actionable analytics with confidence.
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    AnalyticsCreator

    AnalyticsCreator

    AnalyticsCreator

    AnalyticsCreator is a metadata-driven data warehouse automation solution built specifically for teams working within the Microsoft data ecosystem. It helps organizations speed up the delivery of production-ready data products by automating the entire data engineering lifecycle—from ELT pipeline generation and dimensional modeling to historization and semantic model creation for platforms like Microsoft SQL Server, Azure Synapse Analytics, and Microsoft Fabric. By eliminating repetitive manual coding and reducing the need for multiple disconnected tools, AnalyticsCreator helps data teams reduce tool sprawl and enforce consistent modeling standards across projects. The solution includes built-in support for automated documentation, lineage tracking, schema evolution, and CI/CD integration with Azure DevOps and GitHub. Whether you’re working on data marts, data products, or full-scale enterprise data warehouses, AnalyticsCreator allows you to build faster, govern better, and deliver
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  • 4
    CIENCE GO Data
    Over 140M validated business contact records strong, with daily contact record validation. It's time to GO Data! The best way to validate the accuracy of a contact record is to actually use it. As one of the largest Outbound Services companies in the world, CIENCE consumes 10s of millions of records (emails, calls) annually. This produces: - Up-to-date records (reduces decayed data) - Broad Company / Account data points - Accurate Email Lists (real-world tested) - Actual Phone #’s (confirmed dials) The GO Data platform is built to help you configure audiences easily, creating what is known as an Ideal Customer Profile (ICP) to target. From there, GO Data offers a wide supply of contacts that match your ICP. The key to all B2B marketing lists is starting conversations with your ideal customers. CIENCE GO expertly helps identify the contacts and companies for sales to create customized business lists around.
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    ATTOM

    ATTOM

    ATTOM

    Designed to support a wide range of applications and industries, ATTOM Cloud allows you to access national real estate datasets directly on our public cloud platform. Our premium property data is the most comprehensive in the industry and our advanced real estate data licensing solution offers you the data you need, when you need it. We are a single, streamlined source for property data with direct integration to the data in its natural habitat, accessible at your fingertips. The ATTOM Cloud data delivery solution provides the fastest way to access curated property data which is matched to your needs, easy to understand, convenient to use, and requires no additional infrastructure. In a matter of minutes, you can register for a free trial to access ATTOM Cloud and get property data for five pre-selected counties. Experience how ATTOM helps customers build industry-specific solutions faster, improving time-to-market while gaining a competitive edge.
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    IQVIA

    IQVIA

    IQVIA

    Thousands of organizations around the world trust IQVIA to speed drug development, ensure product quality and safety, improve commercial effectiveness, get the right treatments to patients, improve access to and delivery of healthcare, and ultimately drive better health outcomes. Reimagine clinical development by intelligently connecting data, technology, and analytics to optimize your trials. The result? Faster decision making and reduced risk so you can deliver life-changing therapies faster. With a foundation in data, advanced analytics, and expert insight, IQVIA brings specialized capabilities to customers across the healthcare ecosystem. Read and watch the latest from IQVIA data scientists, doctors, researchers, and other subject matter experts on the topics that matter to you. From industry trends to how we are applying our capabilities to help, you can find it here.
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    IBM SPSS Modeler
    IBM SPSS Modeler is a leading visual data science and machine learning (ML) solution designed to help enterprises accelerate time to value by speeding up operational tasks for data scientists. Organizations worldwide use it for data preparation and discovery, predictive analytics, model management and deployment, and ML to monetize data assets. IBM SPSS Modeler automatically transforms data into the best format for the most accurate predictive modeling. It now only takes a few clicks for you to analyze data, identify fixes, screen out fields and derive new attributes. Leverage IBM SPSS Modeler’s powerful graphics engine to bring your insights to life. The smart chart recommender finds the perfect chart for your data from among dozens of options, so you can share your insights quickly and easily using compelling visualizations.
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    Nexis Data+

    Nexis Data+

    LexisNexis

    Transform information into action with one customizable API that delivers all the data you need, exactly how you need it, with credible data across a variety of use cases, geographies, and industries. Whether you’re driving growth, forecasting trends, or managing risk, Nexis Data+ has the data you need to meet your business challenges head-on. Power your AI-driven machine learning, pattern discovery, and predictive analytics with comprehensive data to actively anticipate future outcomes and make well-informed decisions. Utilize diverse, extensive datasets to extract valuable insights and patterns. Leverage data to deepen your understanding, identify root causes, and enhance data-driven decision-making. Accelerate your research and development efforts by leveraging comprehensive data. Expedite projects, identify innovation opportunities, and stay ahead of the curve in market and product advancements.
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    MyDataModels TADA

    MyDataModels TADA

    MyDataModels

    Deploy best-in-class predictive analytics models TADA by MyDataModels helps professionals use their Small Data to enhance their business with a light, easy-to-set-up tool. TADA provides a predictive modeling solution leading to fast and usable results. Shift from days to a few hours into building ad hoc effective models with our 40% reduced time automated data preparation. Get outcomes from your data without programming or machine learning skills. Optimize your time with explainable and understandable models made of easy-to-read formulas. Turn your data into insights in a snap on any platform and create effective automated models. TADA removes the complexity of building predictive models by automating the generative machine learning process – data in, model out. Build and run machine learning models on any devices and platforms through our powerful web-based pre-processing features.
    Starting Price: $5347.46 per year
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    Databricks Data Intelligence Platform
    The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker.
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    Anzo

    Anzo

    Cambridge Semantics

    Anzo is a modern data discovery and integration platform that lets anyone find, connect and blend any enterprise data into analytics-ready datasets. Anzo’s unique use of semantics and graph data models makes it practical for the first time for virtually anyone in your organization – from skilled data scientists to novice business users – to drive the data discovery and integration process and build their own analytics-ready datasets. Anzo’s graph data models provide business users with a visual map of enterprise data that is easy to understand and navigate, even when your data is vast, siloed and complex. Semantics add business content to data, allowing users to harmonize data based on shared definitions and build blended, business-ready data on demand.
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    Oumi

    Oumi

    Oumi

    Oumi is a fully open source platform that streamlines the entire lifecycle of foundation models, from data preparation and training to evaluation and deployment. It supports training and fine-tuning models ranging from 10 million to 405 billion parameters using state-of-the-art techniques such as SFT, LoRA, QLoRA, and DPO. The platform accommodates both text and multimodal models, including architectures like Llama, DeepSeek, Qwen, and Phi. Oumi offers tools for data synthesis and curation, enabling users to generate and manage training datasets effectively. For deployment, it integrates with popular inference engines like vLLM and SGLang, ensuring efficient model serving. The platform also provides comprehensive evaluation capabilities across standard benchmarks to assess model performance. Designed for flexibility, Oumi can run on various environments, from local laptops to cloud infrastructures such as AWS, Azure, GCP, and Lambda.
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    RapidMiner
    RapidMiner is reinventing enterprise AI so that anyone has the power to positively shape the future. We’re doing this by enabling ‘data loving’ people of all skill levels, across the enterprise, to rapidly create and operate AI solutions to drive immediate business impact. We offer an end-to-end platform that unifies data prep, machine learning, and model operations with a user experience that provides depth for data scientists and simplifies complex tasks for everyone else. Our Center of Excellence methodology and the RapidMiner Academy ensures customers are successful, no matter their experience or resource levels. Simplify operations, no matter how complex models are, or how they were created. Deploy, evaluate, compare, monitor, manage and swap any model. Solve your business issues faster with sharper insights and predictive models, no one understands the business problem like you do.
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    Azure Model Catalog
    The Azure Model Catalog within Azure AI Foundry is a unified hub for discovering, deploying, and managing AI models across Microsoft’s ecosystem. It features a curated selection of advanced models such as GPT-5, GPT-4.1, Sora-2, DeepSeek-R1, Phi-4-mini-instruct, and Mistral-Nemo. Each model is optimized for specific tasks—ranging from reasoning and analytics to video generation and coding—offering enterprises flexible, high-performance AI capabilities. The catalog connects seamlessly with Azure OpenAI, Microsoft’s proprietary models, and partner offerings from Meta, Cohere, Mistral, and NVIDIA. Designed for developers and data scientists, it supports model experimentation, fine-tuning, and secure deployment through Azure’s enterprise-grade infrastructure. With robust compliance and scalability, the Azure Model Catalog empowers users to design intelligent, trustworthy, and production-ready AI solutions.
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    HyperCube

    HyperCube

    BearingPoint

    Whatever your business need, discover hidden insights quickly and easily using HyperCube, the platform designed for the way data scientists work. Put your business data to work. Unlock understanding, discover unrealized opportunities, generate predictions and avoid risks before they happen. HyperCube takes huge volumes of data and turns it into actionable insights. Whether a beginner in analytics or a machine learning expert, HyperCube is designed with you in mind. It is the Swiss Army knife of data science, combining proprietary and open source code to deliver a wide range of data analysis features straight out of the box or as business apps, customized just for you. We are constantly updating and perfecting our technology so we can deliver the most innovative, intuitive and adaptable results Choose from apps, data-as-a-services (DaaS) and vertical market solutions.
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    DealPotential

    DealPotential

    DealPotential

    Deal sourcing and investment intelligence are designed for investment professionals operating in private markets so they can find, analyze & evaluate the next investment opportunity. Access granular data on 4+ million private companies, such as growth and market potential, competitive landscape, business model, funding history, risk factors, and much more. Market trends and insights into various industries, dynamics, peers, cost- and revenue trends. Our reports contain not only historical data but also predictive analytics and risk assessment. Investors' strategies, portfolios, and recent deals are updated daily, with contacts and deeper insights into the investment performance of 33,000+ institutional investors. We use natural language generation combined with AI and machine learning to get undiscovered insights and make the findings understandable for everyone, in seconds. Be promptly notified of upcoming rounds or relevant company developments.
    Starting Price: $997 per month
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    Hugging Face

    Hugging Face

    Hugging Face

    Hugging Face is a leading platform for AI and machine learning, offering a vast hub for models, datasets, and tools for natural language processing (NLP) and beyond. The platform supports a wide range of applications, from text, image, and audio to 3D data analysis. Hugging Face fosters collaboration among researchers, developers, and companies by providing open-source tools like Transformers, Diffusers, and Tokenizers. It enables users to build, share, and access pre-trained models, accelerating AI development for a variety of industries.
    Starting Price: $9 per month
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    Forage AI

    Forage AI

    Forage AI

    Marketplace of ready-to-use datasets. Access accurate, reliable data effortlessly from thousands of public websites, social media, and other online platforms. Advanced language models swiftly extract data with precision, contextual understanding, and flexibility. AI cuts through data noise with contextual understanding for precise results and delivers clean datasets, reducing manual validation. Streamlined unstructured data extraction from diverse sources, tracking content changes, and ensuring accuracy with advanced algorithms. Accessible NLP with affordable pre-built functionalities. Engage with your data through inquiries for precise responses, tailored to your preferences. Access clean, reliably extracted data instantly. Forage AI guarantees high-quality data delivered on time with a battle-tested, multi-layered QA process. Our experts will guide, create, and maintain your system, including the most intricate integrations.
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    DagsHub

    DagsHub

    DagsHub

    DagsHub is a collaborative platform designed for data scientists and machine learning engineers to manage and streamline their projects. It integrates code, data, experiments, and models into a unified environment, facilitating efficient project management and team collaboration. Key features include dataset management, experiment tracking, model registry, and data and model lineage, all accessible through a user-friendly interface. DagsHub supports seamless integration with popular MLOps tools, allowing users to leverage their existing workflows. By providing a centralized hub for all project components, DagsHub enhances transparency, reproducibility, and efficiency in machine learning development. DagsHub is a platform for AI and ML developers that lets you manage and collaborate on your data, models, and experiments, alongside your code. DagsHub was particularly designed for unstructured data for example text, images, audio, medical imaging, and binary files.
    Starting Price: $9 per month
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    Amazon QuickSight
    Amazon QuickSight allows everyone in your organization to understand your data by asking questions in natural language, exploring through interactive dashboards, or automatically looking for patterns and outliers powered by machine learning. QuickSight powers millions of dashboard views weekly for customers such as the NFL, Expedia, Volvo, Thomson Reuters, Best Western and Comcast, allowing their end-users to make better data-driven decisions. Ask conversational questions of your data and use Q’s ML-powered engine to receive relevant visualizations without the time-consuming data preparation from authors and admins. Discover hidden insights from your data, perform accurate forecasting and what-if analysis, or add easy-to-understand natural language narratives to dashboards by leveraging AWS' expertise in machine learning. Easily embed interactive visualizations and dashboards, sophisticated dashboard authoring, or natural language query capabilities in your applications.
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    Oracle Analytics Cloud
    Oracle Analytics is a complete platform for every analytics user role. AI and ML are embedded throughout the platform to accelerate productivity and power better business decisions. Choose either Oracle Analytics Cloud, our cloud native service, or our on-premises solution, Oracle Analytics Server, both of which help you avoid compromising security and governance. Oracle Analytic addresses all needs of business users from data to decision. Oracle Analytics can help you solve your business problems with built in data preparation and enrichment, no-code machine learning and industry leading data visualization.
    Starting Price: $16 User Per Month - Oracle An
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    SAS Visual Data Science Decisioning
    Integrate analytics into real-time ​interactions and event-based capabilities​. SAS Visual Data Science Decisioning features robust data management, visualization, advanced analytics and model management. It supports decisions by creating, embedding and governing analytically driven decision flows at scale in real-time or batch. It also deploys analytics and decisions in the stream to help you discover insights. Solve complex analytical problems with a comprehensive visual interface that handles all tasks in the analytics life cycle. SAS Visual Data Mining and Machine Learning, which runs in SAS® Viya®, combines data wrangling, exploration, feature engineering, and modern statistical, data mining, and machine learning techniques in a single, scalable in-memory processing environment. Access data files, libraries and existing programs, or write new ones, with this developmental web application accessible through your browser.
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    LatticeFlow

    LatticeFlow

    LatticeFlow

    Empower your ML teams to deliver robust and performant AI models by auto-diagnosing and improving your data and models. The only platform that can auto-diagnose data and models, empowering ML teams to deliver robust and performant AI models faster. Covering camera noise, sign stickers, shadows, and others. Confirmed with real-world images on which the model systematically fails. While improving model accuracy by 0.2%. Our mission is to change the way the next generation of AI systems is built. If we are to use AI in our businesses, at doctor’s offices, on our roads, or in our homes, we need to build AI systems that companies and users can trust. We are leading AI professors and researchers from ETH Zurich with broad expertise in formal methods, symbolic reasoning, and machine learning. We started LatticeFlow with the goal of building the world’s first platform that enables companies to deliver robust AI models that work reliably in the wild.
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    Zebra AI

    Zebra AI

    Zebra BI

    AI-powered Business Intelligence. Cut through the data modeling hassle. Create sales dashboards, get insights, & collaborate instantly. Build sales dashboards in less than 15 seconds. Whether you’re a business analyst, a BI consultant, or a CEO, anyone can work with Zebra AI: just upload your data and let our AI work the data & generate your dashboard instantly. We’ve made Zebra AI secure – because your business data should be yours alone, and not part of a massive machine learning project. You don’t need another chart maker. Zebra AI is your trusty consultant to help you spot trends, retrieve information, and make compelling presentations. Share your dashboards and AI chats. Enable your entire team to work with the same source of truth – and all of this, in just a couple of clicks. This is more than just a powerful chatbot: it’s a tool experienced data analysts can wield to be more effective – no matter how complex your question or analysis is.
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    Lilac

    Lilac

    Lilac

    Lilac is an open source tool that enables data and AI practitioners to improve their products by improving their data. Understand your data with powerful search and filtering. Collaborate with your team on a single, centralized dataset. Apply best practices for data curation, like removing duplicates and PII to reduce dataset size and lower training cost and time. See how your pipeline impacts your data using our diff viewer. Clustering is a technique that automatically assigns categories to each document by analyzing the text content and putting similar documents in the same category. This reveals the overarching structure of your dataset. Lilac uses state-of-the-art algorithms and LLMs to cluster the dataset and assign informative, descriptive titles. Before we do advanced searching, like concept or semantic search, we can immediately use keyword search by typing a keyword in the search box.
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    Evidently AI

    Evidently AI

    Evidently AI

    The open-source ML observability platform. Evaluate, test, and monitor ML models from validation to production. From tabular data to NLP and LLM. Built for data scientists and ML engineers. All you need to reliably run ML systems in production. Start with simple ad hoc checks. Scale to the complete monitoring platform. All within one tool, with consistent API and metrics. Useful, beautiful, and shareable. Get a comprehensive view of data and ML model quality to explore and debug. Takes a minute to start. Test before you ship, validate in production and run checks at every model update. Skip the manual setup by generating test conditions from a reference dataset. Monitor every aspect of your data, models, and test results. Proactively catch and resolve production model issues, ensure optimal performance, and continuously improve it.
    Starting Price: $500 per month
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    Timbr.ai

    Timbr.ai

    Timbr.ai

    Timbr is the ontology-based semantic layer used by leading enterprises to make faster, better decisions with ontologies that transform structured data into AI-ready knowledge. By unifying enterprise data into a SQL-queryable knowledge graph, Timbr makes relationships, metrics, and context explicit, enabling both humans and AI to reason over data with accuracy and speed. Its open, modular architecture connects directly to existing data sources, virtualizing and governing them without replication. The result is a dynamic, easily accessible model that powers analytics, automation, and LLMs through SQL, APIs, SDKs, and natural language. Timbr lets organizations operationalize AI on their data - securely, transparently, and without dependence on proprietary stacks - maximizing data ROI and enabling teams to focus on solving problems instead of managing complexity.
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    Stibo Systems DaaS

    Stibo Systems DaaS

    Stibo Systems

    Stibo Systems Data as a Service (DaaS) extension provides real-time access to master data from Stibo Systems Multidomain Master Data Management platform by using a configurable API through a cloud-based, serverless architecture. With DaaS, you don’t need copies, exports, or back-end databases to get master data at your fingertips. By providing always-on, high-volume, real-time access to master data, DaaS empowers organizations to make better use of their data. Always-on access is critical for customer-facing touchpoints such as ecommerce, mobile, and point of sale, where timeliness and accuracy of data can make or break the overall customer, product, or brand experience. Drive significant competitive advantage by making master data easily accessible for operational, analytical, and machine-learning decision-making processes. Consuming and processing data through multiple endpoints requires more skills and maintenance.
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    The Weather Company

    The Weather Company

    The Weather Company

    Weather APIs are curated to give you only what you need in the format you need, including alerts, current conditions, forecast data, weather imagery, and more. Recognizing the pervasive role weather plays in our lives, we’ve made it easy to integrate comprehensive weather data from the world’s most accurate forecaster into your applications, business processes, or custom models. Our next-generation forecast on-demand forecasting engine powers our weather data APIs. Patented system that synthesizes a suite of weather observation data. Proprietary forecast system that dynamically blends different model inputs based on real-time verification. Proprietary forecast system that integrates human forecast management to enhance accuracy. Our on-demand forecast engine platform gives you access to a robust set of comprehensive weather data sources with a scalable usage model customized to meet your needs.
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    Querona

    Querona

    YouNeedIT

    We make BI & Big Data analytics work easier and faster. Our goal is to empower business users and make always-busy business and heavily loaded BI specialists less dependent on each other when solving data-driven business problems. If you have ever experienced a lack of data you needed, time to consuming report generation or long queue to your BI expert, consider Querona. Querona uses a built-in Big Data engine to handle growing data volumes. Repeatable queries can be cached or calculated in advance. Optimization needs less effort as Querona automatically suggests query improvements. Querona empowers business analysts and data scientists by putting self-service in their hands. They can easily discover and prototype data models, add new data sources, experiment with query optimization and dig in raw data. Less IT is needed. Now users can get live data no matter where it is stored. If databases are too busy to be queried live, Querona will cache the data.
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    Kensho

    Kensho

    Kensho

    At Kensho, we leverage S&P Global’s world class data to research, develop and implement leading AI and machine learning capabilities that drive fact-based decision making. From deep learning speech recognition and transcription to advanced visualizations, entity recognition, state-of-the-art search and an AI-driven research platform, the Kensho team brings actionable insight and order to complex data. Our products power S&P Global and deliver innovative solutions and capabilities to their clients. We are a diverse and spirited group of engineers and scientists who are accomplished analytical thinkers and passionate problem solvers. Kensho’s team members come from veteran positions at Google, Apple, Facebook, the U.S. Intelligence Community, Wall Street and academia. Our teams love to solve complex new problems with innovation, agility and elegance. We are proud of our individual accomplishments, the collaborative environment we’ve created and what we’re capable of as a team.
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    Windward Maritime AI
    Empower your organization with actionable Maritime AI insights and organization-defined risk tailored to your unique workflows to optimize operational readiness and supply chain risk management. Identify new business and trading opportunities, and create business growth via data-driven decisions. By fusing multiple data sources and applying advanced machine learning models and proprietary behavioral activities, unique identities are created for each entity in the maritime domain. This delivers a holistic, spoofing-proof view of maritime risk. Optimize your pre- and post-fixture processes by leveraging Windward’s AI models and organization-defined risk for streamlined risk management, vessel screening, and business growth. Windward Ocean Freight Visibility offers exception insights, shipment visibility, and BI and analytics, enabling you to enhance ocean freight operations and processes in a scalable manner.
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    Enformion

    Enformion

    Enformion

    Founded by a team of industry pioneers and experts in data technology with over two decades of experience, Enformion’s data repository comprises more than 6,000 data sources and 120 billion records available via a cloud-based platform, API, and batch processing. Using state-of-the-art artificial intelligence (AI) and machine learning (ML), we provide an unparalleled and comprehensive view of people, businesses, assets, and their interrelationships. Our family of solutions empower businesses throughout the United States to make informed decisions that maximize knowledge, improve efficiencies, and better serve the needs of their clients. Enformion’s data provides actionable intelligence for Financial Services, Retail and eCommerce, Accounts Receivable Management, Legal, and Government Agencies, including: Identity Verification, Fraud and Risk Detection, and Collections & Investigations.
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    Factiva

    Factiva

    Dow Jones

    Gain unique insights from the world’s most comprehensive collection of news and data. Rely on an unrivaled selection of global news and data accessible via a powerful research platform, on mobile devices or integrated via advanced feeds and APIs. Power strategic decisions, uncover competitive advantage and deliver actionable intelligence with global news, data and insights. Generate deeper insights, improve sentiment analysis, uncover hidden relationships, accurately forecast and enrich data visualizations with news data derived from advanced analytics models. Keep track of your brand's reputation and stay ahead of potential issues by leveraging a database of content from 200 countries in 28 languages, comprehensive monitoring tools and curation solutions. Gather market intelligence, monitor competitors and provide strategic guidance with trusted world news, detailed company and executive data and multi-channel delivery.
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    Obviously AI

    Obviously AI

    Obviously AI

    The entire process of building machine learning algorithms and predicting outcomes, packed in one single click. Not all data is built to be ready for ML, use the Data Dialog to seamlessly shape your dataset without wrangling your files. Share your prediction reports with your team or make them public. Allow anyone to start making predictions on your model. Bring dynamic ML predictions into your own app using our low-code API. Predict willingness to pay, score leads and much more in real-time. Obviously AI puts the world’s most cutting-edge algorithms in your hands, without compromising on performance. Forecast revenue, optimize supply chain, personalize marketing. You can now know what happens next. Add a CSV file OR integrate with your favorite data sources in minutes. Pick your prediction column from a dropdown, we'll auto build the AI. Beautifully visualize predicted results, top drivers and simulate "what-if" scenarios.
    Starting Price: $75 per month
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    Azure Machine Learning
    Accelerate the end-to-end machine learning lifecycle. Empower developers and data scientists with a wide range of productive experiences for building, training, and deploying machine learning models faster. Accelerate time to market and foster team collaboration with industry-leading MLOps—DevOps for machine learning. Innovate on a secure, trusted platform, designed for responsible ML. Productivity for all skill levels, with code-first and drag-and-drop designer, and automated machine learning. Robust MLOps capabilities that integrate with existing DevOps processes and help manage the complete ML lifecycle. Responsible ML capabilities – understand models with interpretability and fairness, protect data with differential privacy and confidential computing, and control the ML lifecycle with audit trials and datasheets. Best-in-class support for open-source frameworks and languages including MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R.
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    IBM watsonx.data
    Put your data to work, wherever it resides, with the open, hybrid data lakehouse for AI and analytics. Connect your data from anywhere, in any format, and access through a single point of entry with a shared metadata layer. Optimize workloads for price and performance by pairing the right workloads with the right query engine. Embed natural-language semantic search without the need for SQL, so you can unlock generative AI insights faster. Manage and prepare trusted data to improve the relevance and precision of your AI applications. Use all your data, everywhere. With the speed of a data warehouse, the flexibility of a data lake, and special features to support AI, watsonx.data can help you scale AI and analytics across your business. Choose the right engines for your workloads. Flexibly manage cost, performance, and capability with access to multiple open engines including Presto, Presto C++, Spark Milvus, and more.
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    DataChain

    DataChain

    iterative.ai

    DataChain connects unstructured data in cloud storage with AI models and APIs, enabling instant data insights by leveraging foundational models and API calls to quickly understand your unstructured files in storage. Its Pythonic stack accelerates development tenfold by switching to Python-based data wrangling without SQL data islands. DataChain ensures dataset versioning, guaranteeing traceability and full reproducibility for every dataset to streamline team collaboration and ensure data integrity. It allows you to analyze your data where it lives, keeping raw data in storage (S3, GCP, Azure, or local) while storing metadata in inefficient data warehouses. DataChain offers tools and integrations that are cloud-agnostic for both storage and computing. With DataChain, you can query your unstructured multi-modal data, apply intelligent AI filters to curate data for training and snapshot your unstructured data, the code for data selection, and any stored or computed metadata.
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    DTCC Data Services
    DTCC Data Services offers referential and activity-based data, delivered in fixed or configurable formats, sourced from DTCC’s transaction, reference, position, and asset servicing data covering all major asset classes. As the premier post-trade market infrastructure for the global financial services industry, DTCC simplifies the complexities of data management across transaction types and asset classes, increasing transparency, mitigating risk, and driving efficiencies for financial firms. Trade activity-based data solutions that deliver market insights to help you assess risk factors and refine your market positions to make informed business, investment, and strategy decisions. Consolidated source of corporate action announcements and reference data solutions to help you enrich and reconcile operational data to enhance efficiency, increase accuracy, and improve business support.
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    Harmonic.ai

    Harmonic.ai

    Harmonic

    The startup discovery engine to find your fund returners. Our ever-growing database of 20M+ companies and 160M+ people ensures you’re never missing an opportunity. Create, tune, and save hyper-specific searches. Effortlessly find the needle in the haystack. Stay up to date by syncing connections across your entire team. Monitor network movements, track communications, and make every intro warm. Stay in the know and reach out at just the right time, courtesy of the fastest refresh rate out there. Integrate with REST or GraphQL, and tailor your integration strategy
with our flexible API. Build and model with low latency and maximum flexibility by having the complete startup database delivered directly to your data warehouse or cloud storage bucket. Our database is constantly updating, so you can stay ahead of your competition, and ensure your CRM has the latest context.
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    Llama Guard
    Llama Guard is an open-source safeguard model developed by Meta AI to enhance the safety of large language models in human-AI conversations. It functions as an input-output filter, classifying both prompts and responses into safety risk categories, including toxicity, hate speech, and hallucinations. Trained on a curated dataset, Llama Guard achieves performance on par with or exceeding existing moderation tools like OpenAI's Moderation API and ToxicChat. Its instruction-tuned architecture allows for customization, enabling developers to adapt its taxonomy and output formats to specific use cases. Llama Guard is part of Meta's broader "Purple Llama" initiative, which combines offensive and defensive security strategies to responsibly deploy generative AI models. The model weights are publicly available, encouraging further research and adaptation to meet evolving AI safety needs.
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    ScoopML

    ScoopML

    ScoopML

    Easy-to-Use Build advanced predictive models without math & coding - in just a few clicks. Complete Experience. From cleaning data to building models to making predictions, we provide you all. Trustworthy. Know the 'why' behind AI decisions and drive business with actionable insights. Data Analytics in minutes, without writing code. The total process of building ML algorithms, explaining results, and predicting outcomes in one single click. Machine Learning in 3 Steps. Go from raw data to actionable analytics without writing a single line of code. Upload your data. Ask questions in plain english. Get the best performing model for your data and Share your results. Increase Customer Productivity. We help Companies to leverage no code Machine learning to improve their Customer Experience.
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    FieldDay

    FieldDay

    FieldDay

    Unlock the world of AI and Machine Learning right on your phone with FieldDay. We’ve taken the complexity out of creating machine learning models and turned it into an engaging, hands-on experience that’s as simple as using your camera. FieldDay allows you to create custom AI apps and embed them in your favourite tools, using just your phone. Feed FieldDay examples to learn from, and generate a custom model ready to be embedded in your app/project. A range of projects and apps driven by custom FieldDay machine learning models. Our range of integrations and export options simplifies the process of embedding a machine-learning model into the platform you prefer. With FieldDay, you can collect data directly from your phone’s camera. Our bespoke interface is designed for easy and intuitive annotation during collection, so you can build a custom dataset in no time. FieldDay lets you preview and correct your models in real-time.
    Starting Price: $19.99 per month
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    PostgresML

    PostgresML

    PostgresML

    PostgresML is a complete platform in a PostgreSQL extension. Build simpler, faster, and more scalable models right inside your database. Explore the SDK and test open source models in our hosted database. Combine and automate the entire workflow from embedding generation to indexing and querying for the simplest (and fastest) knowledge-based chatbot implementation. Leverage multiple types of natural language processing and machine learning models such as vector search and personalization with embeddings to improve search results. Leverage your data with time series forecasting to garner key business insights. Build statistical and predictive models with the full power of SQL and dozens of regression algorithms. Return results and detect fraud faster with ML at the database layer. PostgresML abstracts the data management overhead from the ML/AI lifecycle by enabling users to run ML/LLM models directly on a Postgres database.
    Starting Price: $.60 per hour
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    Encord

    Encord

    Encord

    Achieve peak model performance with the best data. Create & manage training data for any visual modality, debug models and boost performance, and make foundation models your own. Expert review, QA and QC workflows help you deliver higher quality datasets to your artificial intelligence teams, helping improve model performance. Connect your data and models with Encord's Python SDK and API access to create automated pipelines for continuously training ML models. Improve model accuracy by identifying errors and biases in your data, labels and models.
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    Seekr

    Seekr

    Seekr

    Boost your productivity and create more inspired content with generative AI that is bounded and grounded by the highest industry standards and intelligence. Rate content for reliability, reveal political lean, and align with your brand’s safety themes. Our AI models are rigorously tested and reviewed by leading experts and data scientists to train our dataset exclusively with the web’s most trustworthy content. Leverage the industry’s most trustworthy large language model (LLM) to create new content fast, accurately, and at low cost. Speed up processes and drive better business outcomes with a suite of AI tools built to reduce costs and skyrocket results.
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    Moon Modeler

    Moon Modeler

    Ideamerit

    Moon Modeler is a powerful and user-friendly data modeling tool tailored for NoSQL databases. It supports MongoDB and Mongoose ODM out of the box, and can also be used with Amazon DocumentDB, Azure Cosmos DB, and similar document-oriented databases. Supported platforms: - MongoDB - Mongoose ODM Key features: - Data modeling and schema design - Reverse engineering from MongoDB - Support for SSH/SSL/TLS connections - Hierarchical structures, embedded documents/nested objects - Generation of interactive HTML reports - Generation of schema validation or creation scripts - Various themes and styles for reports - Multiple display modes - Support for sub-diagrams
    Starting Price: $99 one-time payment
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    IBM Watson Studio
    Build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio empowers you to operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. Unite teams, simplify AI lifecycle management and accelerate time to value with an open, flexible multicloud architecture. Automate AI lifecycles with ModelOps pipelines. Speed data science development with AutoAI. Prepare and build models visually and programmatically. Deploy and run models through one-click integration. Promote AI governance with fair, explainable AI. Drive better business outcomes by optimizing decisions. Use open source frameworks like PyTorch, TensorFlow and scikit-learn. Bring together the development tools including popular IDEs, Jupyter notebooks, JupterLab and CLIs — or languages such as Python, R and Scala. IBM Watson Studio helps you build and scale AI with trust and transparency by automating AI lifecycle management.
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    Prompt Mixer

    Prompt Mixer

    Prompt Mixer

    Use Prompt Mixer to create prompts and chains. Combinе your chains with datasets and improve with AI. Develop a comprehensive set of test scenarios to assess various prompt and model pairings, determining the optimal combination for diverse use cases. Incorporate Prompt Mixer into your everyday tasks, from creating content to conducting R&D. Prompt Mixer can streamline your workflow and boost productivity. Use Prompt Mixer to efficiently create, assess, and deploy content generation models for various applications such as blog posts and emails. Use Prompt Mixer to extract or merge data in a completely secure manner and easily monitor it after deployment.
    Starting Price: $29 per month
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    DiscoLike

    DiscoLike

    DiscoLike

    Step up your product’s capabilities with a modern company data platform. We identify all business sites and their subsidiaries, extract text from key pages, and build the largest company LLM embedding database on the market. Our prospects repeatedly test us at 98.5% accuracy and 98% coverage. Leverage our data with our natural language search and segmentation technology. The company directory is a foundational part of many products. Ours begins with SSL certificates, ensuring unmatched accuracy and coverage, with no dead, obsolete, or parked domains. Non-English sites are translated first, allowing for truly global coverage. The same certificates provide us with additional exclusive data points, accurate company start dates, business size, and growth patterns, including private and international companies. The shift towards higher quality and more relevant business site content is driven by AI’s ability to analyze large datasets and understand context.