Alternatives to IBM watsonx.data integration
Compare IBM watsonx.data integration alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to IBM watsonx.data integration in 2026. Compare features, ratings, user reviews, pricing, and more from IBM watsonx.data integration competitors and alternatives in order to make an informed decision for your business.
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Teradata VantageCloud
Teradata
Teradata VantageCloud: The complete cloud analytics and data platform for AI. Teradata VantageCloud is an enterprise-grade, cloud-native data and analytics platform that unifies data management, advanced analytics, and AI/ML capabilities in a single environment. Designed for scalability and flexibility, VantageCloud supports multi-cloud and hybrid deployments, enabling organizations to manage structured and semi-structured data across AWS, Azure, Google Cloud, and on-premises systems. It offers full ANSI SQL support, integrates with open-source tools like Python and R, and provides built-in governance for secure, trusted AI. VantageCloud empowers users to run complex queries, build data pipelines, and operationalize machine learning models—all while maintaining interoperability with modern data ecosystems. -
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Google Cloud BigQuery
Google
BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven. Gemini in BigQuery offers AI-driven tools for assistance and collaboration, such as code suggestions, visual data preparation, and smart recommendations designed to boost efficiency and reduce costs. BigQuery delivers an integrated platform featuring SQL, a notebook, and a natural language-based canvas interface, catering to data professionals with varying coding expertise. This unified workspace streamlines the entire analytics process. -
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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 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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IBM watsonx Assistant (Formerly Watson Assistant) is a market-leading enterprise conversational AI platform that allows you to build intelligent virtual and voice assistants that can provide customers with fast, consistent and accurate answers across any messaging platform, application, device or channel. Using artificial intelligence and large language models, watsonx Assistant learns from customer conversations, improving its ability to resolve issues the first time while removing the frustration of long wait times, tedious searches and unhelpful chatbots. Most chatbots try to mimic human interactions, frustrating customers when a misunderstanding arises. IBM watsonx Assistant is more than a chatbot. It knows when to search for an answer from a knowledge base, when to ask for clarity and when to direct users to a human agent for more assistance. And since it can be deployed in any cloud or on-premises environment – smarter AI is finally available wherever you need it.Starting Price: $140 per month
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IBM Cognos Analytics acts as your trusted co-pilot for business with the aim of making you smarter, faster, and more confident in your data-driven decisions. IBM Cognos Analytics gives every user — whether data scientist, business analyst or non-IT specialist — more power to perform relevant analysis in a way that ties back to organizational objectives. It shortens each user’s journey from simple to sophisticated analytics, allowing them to harness data to explore the unknown, identify new relationships, get a deeper understanding of outcomes and challenge the status quo. Visualize, analyze and share actionable insights about your data with anyone in your organization with IBM Cognos Analytics.
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Domo
Domo
Domo puts data to work for everyone so they can multiply their impact on the business. Our cloud-native data experience platform goes beyond traditional business intelligence and analytics, making data visible and actionable with user-friendly dashboards and apps. Underpinned by a secure data foundation that connects with existing cloud and legacy systems, Domo helps companies optimize critical business processes at scale and in record time to spark the bold curiosity that powers exponential business results. -
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Immuta
Immuta
Immuta is the market leader in secure Data Access, providing data teams one universal platform to control access to analytical data sets in the cloud. Only Immuta can automate access to data by discovering, securing, and monitoring data. Data-driven organizations around the world trust Immuta to speed time to data, safely share more data with more users, and mitigate the risk of data leaks and breaches. Founded in 2015, Immuta is headquartered in Boston, MA. Immuta is the fastest way for algorithm-driven enterprises to accelerate the development and control of machine learning and advanced analytics. The company's hyperscale data management platform provides data scientists with rapid, personalized data access to dramatically improve the creation, deployment and auditability of machine learning and AI. -
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Alation
Alation
The Alation Agentic Data Intelligence Platform enables organizations to scale and accelerate their AI and data initiatives. By unifying search, cataloging, governance, lineage, and analytics, it transforms metadata into a strategic asset for decision-making. The platform’s AI-powered agents—including Documentation, Data Quality, and Data Products Builder—automate complex data management tasks. With active metadata, workflow automation, and more than 120 pre-built connectors, Alation integrates seamlessly into modern enterprise environments. It helps organizations build trusted AI models by ensuring data quality, transparency, and compliance across the business. Trusted by 40% of the Fortune 100, Alation empowers teams to make faster, more confident decisions with trusted data. -
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Fivetran
Fivetran
Fivetran is a leading data integration platform that centralizes an organization’s data from various sources to enable modern data infrastructure and drive innovation. It offers over 700 fully managed connectors to move data automatically, reliably, and securely from SaaS applications, databases, ERPs, and files to data warehouses and lakes. The platform supports real-time data syncs and scalable pipelines that fit evolving business needs. Trusted by global enterprises like Dropbox, JetBlue, and Pfizer, Fivetran helps accelerate analytics, AI workflows, and cloud migrations. It features robust security certifications including SOC 1 & 2, GDPR, HIPAA, and ISO 27001. Fivetran provides an easy-to-use, customizable platform that reduces engineering time and enables faster insights. -
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Acceldata
Acceldata
Acceldata is an Agentic Data Management company helping enterprises manage complex data systems with AI-powered automation. Its unified platform brings together data quality, governance, lineage, and infrastructure monitoring to deliver trusted, actionable insights across the business. Acceldata’s Agentic Data Management platform uses intelligent AI agents to detect, understand, and resolve data issues in real time. Designed for modern data environments, it replaces fragmented tools with a self-learning system that ensures data is accurate, governed, and ready for AI and analytics. -
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Datameer
Datameer
Datameer revolutionizes data transformation with a low-code approach, trusted by top global enterprises. Craft, transform, and publish data seamlessly with no code and SQL, simplifying complex data engineering tasks. Empower your data teams to make informed decisions confidently while saving costs and ensuring responsible self-service analytics. Speed up your analytics workflow by transforming datasets to answer ad-hoc questions and support operational dashboards. Empower everyone on your team with our SQL or Drag-and-Drop to transform your data in an intuitive and collaborative workspace. And best of all, everything happens in Snowflake. Datameer is designed and optimized for Snowflake to reduce data movement and increase platform adoption. Some of the problems Datameer solves: - Analytics is not accessible - Drowning in backlog - Long development -
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Mozart Data
Mozart Data
Mozart Data is the all-in-one modern data platform that makes it easy to consolidate, organize, and analyze data. Start making data-driven decisions by setting up a modern data stack in an hour - no engineering required. -
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Atlan
Atlan
The modern data workspace. Make all your data assets from data tables to BI reports, instantly discoverable. Our powerful search algorithms combined with easy browsing experience, make finding the right asset, a breeze. Atlan auto-generates data quality profiles which make detecting bad data, dead easy. From automatic variable type detection & frequency distribution to missing values and outlier detection, we’ve got you covered. Atlan takes the pain away from governing and managing your data ecosystem! Atlan’s bots parse through SQL query history to auto construct data lineage and auto-detect PII data, allowing you to create dynamic access policies & best in class governance. Even non-technical users can directly query across multiple data lakes, warehouses & DBs using our excel-like query builder. Native integrations with tools like Tableau and Jupyter makes data collaboration come alive. -
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Sifflet
Sifflet
Automatically cover thousands of tables with ML-based anomaly detection and 50+ custom metrics. Comprehensive data and metadata monitoring. Exhaustive mapping of all dependencies between assets, from ingestion to BI. Enhanced productivity and collaboration between data engineers and data consumers. Sifflet seamlessly integrates into your data sources and preferred tools and can run on AWS, Google Cloud Platform, and Microsoft Azure. Keep an eye on the health of your data and alert the team when quality criteria aren’t met. Set up in a few clicks the fundamental coverage of all your tables. Configure the frequency of runs, their criticality, and even customized notifications at the same time. Leverage ML-based rules to detect any anomaly in your data. No need for an initial configuration. A unique model for each rule learns from historical data and from user feedback. Complement the automated rules with a library of 50+ templates that can be applied to any asset. -
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datuum.ai
Datuum
AI-powered data integration tool that helps streamline the process of customer data onboarding. It allows for easy and fast automated data integration from various sources without coding, reducing preparation time to just a few minutes. With Datuum, organizations can efficiently extract, ingest, transform, migrate, and establish a single source of truth for their data, while integrating it into their existing data storage. Datuum is a no-code product and can reduce up to 80% of the time spent on data-related tasks, freeing up time for organizations to focus on generating insights and improving the customer experience. With over 40 years of experience in data management and operations, we at Datuum have incorporated our expertise into the core of our product, addressing the key challenges faced by data engineers and managers and ensuring that the platform is user-friendly, even for non-technical specialists. -
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OvalEdge
OvalEdge
OvalEdge is a cost-effective data catalog designed for end-to-end data governance, privacy compliance, and fast, trustworthy analytics. OvalEdge crawls your organizations’ databases, BI platforms, ETL tools, and data lakes to create an easy-to-access, smart inventory of your data assets. Using OvalEdge, analysts can discover data and deliver powerful insights quickly. OvalEdge’s comprehensive functionality enables users to establish and improve data access, data literacy, and data quality.Starting Price: $1,300/month -
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CloverDX
CloverDX
Design, debug, run and troubleshoot data transformations and jobflows in a developer-friendly visual designer. Orchestrate data workloads that require tasks to be carried out in the right sequence, orchestrate multiple systems with the transparency of visual workflows. Deploy data workloads easily into a robust enterprise runtime environment. In cloud or on-premise. Make data available to people, applications and storage under a single unified platform. Manage your data workloads and related processes together in a single platform. No task is too complex. We’ve built CloverDX on years of experience with large enterprise projects. Developer-friendly open architecture and flexibility lets you package and hide the complexity for non-technical users. Manage the entire lifecycle of a data pipeline from design, deployment to evolution and testing. Get things done fast with the help of our in-house customer success teams.Starting Price: $5000.00/one-time -
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Ataccama ONE
Ataccama
Ataccama reinvents the way data is managed to create value on an enterprise scale. Unifying Data Governance, Data Quality, and Master Data Management into a single, AI-powered fabric across hybrid and Cloud environments, Ataccama gives your business and data teams the ability to innovate with unprecedented speed while maintaining trust, security, and governance of your data. -
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Aggua
Aggua
Aggua is a data fabric augmented AI platform that enables data and business teams Access to their data, creating Trust and giving practical Data Insights, for a more holistic, data-centric decision-making. Instead of wondering what is going on underneath the hood of your organization's data stack, become immediately informed with a few clicks. Get access to data cost insights, data lineage and documentation without needing to take time out of your data engineer's workday. Instead of spending a lot of time tracing what a data type change will break in your data pipelines, tables and infrastructure, with automated lineage, your data architects and engineers can spend less time manually going through logs and DAGs and more time actually making the changes to infrastructure. -
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Decube
Decube
Decube is a data management platform that helps organizations manage their data observability, data catalog, and data governance needs. It provides end-to-end visibility into data and ensures its accuracy, consistency, and trustworthiness. Decube's platform includes data observability, a data catalog, and data governance components that work together to provide a comprehensive solution. The data observability tools enable real-time monitoring and detection of data incidents, while the data catalog provides a centralized repository for data assets, making it easier to manage and govern data usage and access. The data governance tools provide robust access controls, audit reports, and data lineage tracking to demonstrate compliance with regulatory requirements. Decube's platform is customizable and scalable, making it easy for organizations to tailor it to meet their specific data management needs and manage data across different systems, data sources, and departments. -
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IBM watsonx
IBM
IBM watsonx is a powerful suite of AI products designed to accelerate the adoption of generative AI across business workflows. With tools like watsonx.ai for AI application development, watsonx.data for data management, and watsonx.governance for regulatory compliance, businesses can create, manage, and deploy AI solutions seamlessly. The platform provides an integrated developer studio to foster collaboration and optimize the entire AI lifecycle. IBM watsonx also offers tools for automating processes, boosting productivity with AI assistants and agents, and supporting responsible AI through governance and risk management. Trusted by industries worldwide, IBM watsonx enables businesses to unlock the full potential of AI to drive innovation and enhance decision-making. -
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IBM watsonx.ai
IBM
Now available—a next generation enterprise studio for AI builders to train, validate, tune and deploy AI models IBM® watsonx.ai™ AI studio is part of the IBM watsonx™ AI and data platform, bringing together new generative AI (gen AI) capabilities powered by foundation models and traditional machine learning (ML) into a powerful studio spanning the AI lifecycle. Tune and guide models with your enterprise data to meet your needs with easy-to-use tools for building and refining performant prompts. With watsonx.ai, you can build AI applications in a fraction of the time and with a fraction of the data. Watsonx.ai offers: End-to-end AI governance: Enterprises can scale and accelerate the impact of AI with trusted data across the business, using data wherever it resides. Hybrid, multi-cloud deployments: IBM provides the flexibility to integrate and deploy your AI workloads into your hybrid-cloud stack of choice. -
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Databricks Data Intelligence Platform
Databricks
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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Enable hybrid cloud developers of all experience levels to write code with AI-generated recommendations. What if you could translate plain English to code? IBM watsonx Code Assistant allows you to do just that. Powered by IBM watsonx.ai foundation models (FM), IBM watsonx Code Assistant makes it easier for anyone to write code with AI-generated recommendations, bringing the power of IT automation to your entire organization as a strategic, accessible asset for more users—not just the subject-matter experts. This means automatically suggesting code for developers based on natural language inputs. IBM watsonx Code Assistant is infused with watsonx.ai FMs that are purpose-built, created with deployment efficiency in mind, and which enable organizations to customize the models, while also applying enterprise standards and best practices.
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Bigeye
Bigeye
Bigeye is the data observability platform that helps teams measure, improve, and communicate data quality clearly at any scale. Every time a data quality issue causes an outage, the business loses trust in the data. Bigeye helps rebuild trust, starting with monitoring. Find missing and busted reporting data before executives see it in a dashboard. Get warned about issues in training data before models get retrained on it. Fix that uncomfortable feeling that most of the data is mostly right, most of the time. Pipeline job statuses don't tell the whole story. The best way to ensure data is fit for use, is to monitor the actual data. Tracking dataset-level freshness ensures pipelines are running on schedule, even when ETL orchestrators go down. Find out about changes to event names, region codes, product types, and other categorical data. Detect drops or spikes in row counts, nulls, and blank values to ensure everything is populating as expected. -
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Speed up your development process by creating and deploying agent-based services using our intuitive visual interface. The IBM watsonx.ai Agent Builder, a low-code or no-code tool coming soon to watsonx.ai, enables developers to design agents with prebuilt workflows. With this tool, developers can choose the architecture for their agentic systems and effortlessly select the tools they want the agent to use, all through visual components that simplify agent design and tool configuration.
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Kylo
Teradata
Kylo is an open source enterprise-ready data lake management software platform for self-service data ingest and data preparation with integrated metadata management, governance, security and best practices inspired by Think Big's 150+ big data implementation projects. Self-service data ingest with data cleansing, validation, and automatic profiling. Wrangle data with visual sql and an interactive transform through a simple user interface. Search and explore data and metadata, view lineage, and profile statistics. Monitor health of feeds and services in the data lake. Track SLAs and troubleshoot performance. Design batch or streaming pipeline templates in Apache NiFi and register with Kylo to enable user self-service. Organizations can expend significant engineering effort moving data into Hadoop yet struggle to maintain governance and data quality. Kylo dramatically simplifies data ingest by shifting ingest to data owners through a simple guided UI. -
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Sentrana
Sentrana
Whether your data is trapped in silos or you’re generating data at the edge, Sentrana gives you the flexibility to create AI and data engineering pipelines wherever your data is. And you can share your AI, Data, and Pipelines with anyone anywhere. With Sentrana, you can achieve newfound agility to effortlessly move between compute environments, while all your data and your work replicates automatically to wherever you want. Sentrana provides a large inventory of building blocks from which you can stitch together custom AI and Data Engineering pipelines. Rapidly assemble and test many different pipelines to create the AI you need. Turn your data into AI with near-zero effort and cost. Since Sentrana is an open platform, newer cutting-edge AI building blocks that are emerging every day are put right at your fingertips. Sentrana turns the Pipelines and AI models you create into re-executable building blocks that anyone on your team can hook into their own pipelines. -
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Trifacta
Trifacta
The fastest way to prep data and build data pipelines in the cloud. Trifacta provides visual and intelligent guidance to accelerate data preparation so you can get to insights faster. Poor data quality can sink any analytics project. Trifacta helps you understand your data so you can quickly and accurately clean it up. All the power with none of the code. Trifacta provides visual and intelligent guidance so you can get to insights faster. Manual, repetitive data preparation processes don’t scale. Trifacta helps you build, deploy and manage self-service data pipelines in minutes not months. -
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Collibra
Collibra
With a best-in-class catalog, flexible governance, continuous quality, and built-in privacy, the Collibra Data Intelligence Cloud is your single system of engagement for data. Support your users with a best-in-class data catalog that includes embedded governance, privacy and quality. Raise the grade, by ensuring teams can quickly find, understand and access data across sources, business applications, BI and data science tools in one central location. Give your data some much-needed privacy. Centralize, automate and guide workflows to encourage collaboration, operationalize privacy and address global regulatory requirements. Get the full story around your data with Collibra Data Lineage. Automatically map relationships between systems, applications and reports to provide a context-rich view across the enterprise. Hone in on the data you care about most and trust that it is relevant, complete and trustworthy. -
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DQLabs
DQLabs, Inc
DQLabs has a decade of experience in providing data related solutions to fortune 100 clients around data integration, data governance, data analytics, data visualization, and data science-related solutions. The platform has all the inbuilt features to make autonomous execution without any manual or configuration. With this AI and ML-powered tool, scalability, governance, and automation from end to end are possible. It also provides easy integration and compatibility with other tools in the data ecosystem. With the use of AI and Machine Learning, the decision is made possible in all aspects of data management. No more ETL, workflows, and rules – leverage the new world of AI decisioning in data management as the platform learns and reconfigures rules automatically as business strategy shifts and demands new data patterns, trends. -
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Dremio
Dremio
Dremio delivers lightning-fast queries and a self-service semantic layer directly on your data lake storage. No moving data to proprietary data warehouses, no cubes, no aggregation tables or extracts. Just flexibility and control for data architects, and self-service for data consumers. Dremio technologies like Data Reflections, Columnar Cloud Cache (C3) and Predictive Pipelining work alongside Apache Arrow to make queries on your data lake storage very, very fast. An abstraction layer enables IT to apply security and business meaning, while enabling analysts and data scientists to explore data and derive new virtual datasets. Dremio’s semantic layer is an integrated, searchable catalog that indexes all of your metadata, so business users can easily make sense of your data. Virtual datasets and spaces make up the semantic layer, and are all indexed and searchable. -
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Omniscope Evo
Visokio
Visokio builds Omniscope Evo, complete and extensible BI software for data processing, analytics and reporting. A smart experience on any device. Start from any data in any shape, load, edit, blend, transform while visually exploring it, extract insights through ML algorithms, automate your data workflows, and publish interactive reports and dashboards to share your findings. Omniscope is not only an all-in-one BI tool with a responsive UX on all modern devices, but also a powerful and extensible platform: you can augment data workflows with Python / R scripts and enhance reports with any JS visualisation. Whether you’re a data manager, scientist or analyst, Omniscope is your complete solution: from data, through analytics to visualisation.Starting Price: $59/month/user -
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Anomalo
Anomalo
Anomalo helps you get ahead of data issues by automatically detecting them as soon as they appear in your data and before anyone else is impacted. Detect, root-cause, and resolve issues quickly – allowing everyone to feel confident in the data driving your business. Connect Anomalo to your Enterprise Data Warehouse and begin monitoring the tables you care about within minutes. Our advanced machine learning will automatically learn the historical structure and patterns of your data, allowing us to alert you to many issues without the need to create rules or set thresholds. You can also fine-tune and direct our monitoring in a couple of clicks via Anomalo’s No Code UI. Detecting an issue is not enough. Anomalo’s alerts offer rich visualizations and statistical summaries of what’s happening to allow you to quickly understand the magnitude and implications of the problem. -
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K2View
K2View
At K2View, we believe that every enterprise should be able to leverage its data to become as disruptive and agile as the best companies in its industry. We make this possible through our patented Data Product Platform, which creates and manages a complete and compliant dataset for every business entity – on demand, and in real time. The dataset is always in sync with its underlying sources, adapts to changes in the source structures, and is instantly accessible to any authorized data consumer. Data Product Platform fuels many operational use cases, including customer 360, data masking and tokenization, test data management, data migration, legacy application modernization, data pipelining and more – to deliver business outcomes in less than half the time, and at half the cost, of any other alternative. The platform inherently supports modern data architectures – data mesh, data fabric, and data hub – and deploys in cloud, on-premise, or hybrid environments. -
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Verodat
Verodat
Verodat is a SaaS platform that gathers, prepares, enriches and connects your business data to AI Analytics tools. For outcomes you can trust. Verodat automates data cleansing & consolidates data into a clean, trustworthy data layer to feed downstream reporting. Manages data requests to suppliers. Monitors the data workflow to identify bottlenecks & resolve issues. Generates an audit trail to evidence quality assurance for every data row. Customize validation & governance to suit your organization. Reduces data prep time by 60%, allowing data analysts to focus on insights. The central KPI Dashboard reports key metrics on your data pipeline, allowing you to identify bottlenecks, resolve issues and improve performance. The flexible rules engine allows users to easily create validation and testing to suit your organization's needs. With out of the box connections to Snowflake, Azure and other cloud systems, it's easy to integrate with your existing tools. -
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Monte Carlo
Monte Carlo
We’ve met hundreds of data teams that experience broken dashboards, poorly trained ML models, and inaccurate analytics — and we’ve been there ourselves. We call this problem data downtime, and we found it leads to sleepless nights, lost revenue, and wasted time. Stop trying to hack band-aid solutions. Stop paying for outdated data governance software. With Monte Carlo, data teams are the first to know about and resolve data problems, leading to stronger data teams and insights that deliver true business value. You invest so much in your data infrastructure – you simply can’t afford to settle for unreliable data. At Monte Carlo, we believe in the power of data, and in a world where you sleep soundly at night knowing you have full trust in your data. -
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Keep your restaurant running smoothly with AI that handles the toughest orders. IBM watsonx Orders is an AI-powered voice agent that accurately takes orders from your drive-thru guests and speeds them to the pay window. It supports a multitude of use cases, including loyalty programs and mobile orders. It knows the customization options of every menu item. It’s aware of what’s available and what’s not. Optimize the drive-thru order-taking experience for guests and crew with an AI-powered voice assistant you can rely on. watsonx Orders can take 87% of orders on average without crew intervention, including orders with complex customizations, mobile pickups, and loyalty codes. It can gracefully hand off to a crew member when needed. Like a veteran crew member, watsonx Orders is friendly and speedy. It keeps dialog to a minimum for maximum throughput, up to 150 cars an hour in a dual-lane drive-thru.
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Xtract Data Automation Suite (XDAS)
Xtract.io
Xtract Data Automation Suite (XDAS) is a comprehensive platform designed to streamline process automation for data-intensive workflows. It offers a vast library of over 300 pre-built micro solutions and AI agents, enabling businesses to design and orchestrate AI-driven workflows with no code environment, thereby enhancing operational efficiency and accelerating digital transformation. Key components of XDAS include Bot Studio, which allows users to create custom bots and scripts; Scrape Studio, for effortless web data extraction; GenAI Studio, for developing AI agents that process unstructured data; HITL Studio, which integrates human oversight into data workflows; and XRAG Studio, for building advanced AI systems using retrieval-augmented generation techniques. By leveraging these tools, XDAS helps businesses ensure compliance, reduce time to market, enhance data accuracy, and forecast market trends across various industries. -
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Foundational
Foundational
Identify code and optimization issues in real-time, prevent data incidents pre-deploy, and govern data-impacting code changes end to end—from the operational database to the user-facing dashboard. Automated, column-level data lineage, from the operational database all the way to the reporting layer, ensures every dependency is analyzed. Foundational automates data contract enforcement by analyzing every repository from upstream to downstream, directly from source code. Use Foundational to proactively identify code and data issues, find and prevent issues, and create controls and guardrails. Foundational can be set up in minutes with no code changes required. -
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Secuvy AI
Secuvy
Secuvy is a next-generation cloud platform to automate data security, privacy compliance and governance via AI-driven workflows. Best in class data intelligence especially for unstructured data. Secuvy is a next-generation cloud platform to automate data security, privacy compliance and governance via ai-driven workflows. Best in class data intelligence especially for unstructured data. Automated data discovery, customizable subject access requests, user validations, data maps & workflows for privacy regulations such as ccpa, gdpr, lgpd, pipeda and other global privacy laws. Data intelligence to find sensitive and privacy information across multiple data stores at rest and in motion. In a world where data is growing exponentially, our mission is to help organizations to protect their brand, automate processes, and improve trust with customers. With ever-expanding data sprawls we wish to reduce human efforts, costs & errors for handling Sensitive Data. -
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DataGalaxy
DataGalaxy
DataGalaxy is a next-generation data governance and intelligence platform designed to help organizations manage, understand, and maximize the value of their data. Built around a unified interface, it empowers everyone—from executives to data consumers—to collaborate seamlessly across data assets, strategies, and analytics. The platform’s automated data catalog, governance hub, and AI co-pilot reduce manual work while ensuring compliance and data quality across systems. With over 70+ integrations, including Snowflake, Databricks, Power BI, and AWS, DataGalaxy connects your data ecosystem into a single source of truth. Its value tracking center and strategy cockpit align data initiatives with business goals, driving measurable outcomes and enterprise-wide visibility. Loved by users, DataGalaxy turns governance into a strategic advantage for the modern enterprise. -
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CLAIRE
Informatica
Informatica’s CLAIRE AI is an enterprise-grade, metadata-driven artificial intelligence engine embedded within the Intelligent Data Management Cloud that automates and accelerates data management tasks to deliver accurate, trusted, and AI-ready data at scale. CLAIRE uses deep metadata insight to reduce manual effort, democratize access to data, and streamline processes across integration, quality, governance, master data management, and observability, supporting autonomous workflows with AI agents, natural language interaction, and proactive recommendations. It powers capabilities such as CLAIRE Agents, which independently plan, reason, and solve complex data challenges like discovery, pipeline generation, quality remediation, and lineage tracking; CLAIRE GPT, a conversational interface that lets users ask questions in natural language to discover, analyze, and execute data tasks; and CLAIRE Copilot, an AI assistant that provides contextual guidance and suggestions. -
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DQOps
DQOps
DQOps is an open-source data quality platform designed for data quality and data engineering teams that makes data quality visible to business sponsors. The platform provides an efficient user interface to quickly add data sources, configure data quality checks, and manage issues. DQOps comes with over 150 built-in data quality checks, but you can also design custom checks to detect any business-relevant data quality issues. The platform supports incremental data quality monitoring to support analyzing data quality of very big tables. Track data quality KPI scores using our built-in or custom dashboards to show progress in improving data quality to business sponsors. DQOps is DevOps-friendly, allowing you to define data quality definitions in YAML files stored in Git, run data quality checks directly from your data pipelines, or automate any action with a Python Client. DQOps works locally or as a SaaS platform.Starting Price: $499 per month -
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Privacera
Privacera
At the intersection of data governance, privacy, and security, Privacera’s unified data access governance platform maximizes the value of data by providing secure data access control and governance across hybrid- and multi-cloud environments. The hybrid platform centralizes access and natively enforces policies across multiple cloud services—AWS, Azure, Google Cloud, Databricks, Snowflake, Starburst and more—to democratize trusted data enterprise-wide without compromising compliance with regulations such as GDPR, CCPA, LGPD, or HIPAA. Trusted by Fortune 500 customers across finance, insurance, retail, healthcare, media, public and the federal sector, Privacera is the industry’s leading data access governance platform that delivers unmatched scalability, elasticity, and performance. Headquartered in Fremont, California, Privacera was founded in 2016 to manage cloud data privacy and security by the creators of Apache Ranger™ and Apache Atlas™. -
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Alteryx Designer
Alteryx
Drag-and-drop tools and generative AI enable analysts to prepare & blend data up to 100 faster than traditional solutions. Self-service data analytics platform puts the power in every analyst’s hands and removes expensive bottlenecks in the analytics journey. Alteryx Designer is a self-service data analytics platform designed to empower analysts by enabling them to prepare, blend, and analyze data using intuitive, drag-and-drop tools. The platform supports over 300 tools for automation and integrates with more than 80 data sources. With a focus on low-code and no-code capabilities, Alteryx Designer allows users to easily create analytic workflows, accelerate analytics processes with generative AI, and generate insights without needing advanced programming skills. It also enables the output of results to over 70 different tools, making it highly versatile. Designed for efficiency, it allows businesses to speed up data preparation and analysis. -
48
Datactics
Datactics
Profile, cleanse, match and deduplicate data in drag-and-drop rules studio. Lo-code UI means no programming skill required, putting power in the hands of subject matter experts. Add AI & machine learning to your existing data management processes In order to reduce manual effort and increase accuracy, providing full transparency on machine-led decisions with human-in-the-loop. Offering award-winning data quality and matching capabilities across multiple industries, our self-service solutions are rapidly configured within weeks with specialist assistance available from Datactics data engineers. With Datactics you can easily measure data to regulatory & industry standards, fix breaches in bulk and push into reporting tools, with full visibility and audit trail for Chief Risk Officers. Augment data matching into Legal Entity Masters for Client Lifecycle Management. -
49
Paxata
Paxata
Paxata is a visually-dynamic, intuitive solution that enables business analysts to rapidly ingest, profile, and curate multiple raw datasets into consumable information in a self-service manner, greatly accelerating development of actionable business insights. In addition to empowering business analysts and SMEs, Paxata also provides a rich set of workload automation and embeddable data preparation capabilities to operationalize and deliver data preparation as a service within other applications. The Paxata Adaptive Information Platform (AIP) unifies data integration, data quality, semantic enrichment, re-use & collaboration, and also provides comprehensive data governance and audit capabilities with self-documenting data lineage. The Paxata AIP utilizes a native multi-tenant elastic cloud architecture and is the only modern information platform that is currently deployed as a multi-cloud hybrid information fabric. -
50
Zaloni Arena
Zaloni
End-to-end DataOps built on an agile platform that improves and safeguards your data assets. Arena is the premier augmented data management platform. Our active data catalog enables self-service data enrichment and consumption to quickly control complex data environments. Customizable workflows that increase the accuracy and reliability of every data set. Use machine-learning to identify and align master data assets for better data decisioning. Complete lineage with detailed visualizations alongside masking and tokenization for superior security. We make data management easy. Arena catalogs your data, wherever it is and our extensible connections enable analytics to happen across your preferred tools. Conquer data sprawl challenges: Our software drives business and analytics success while providing the controls and extensibility needed across today’s decentralized, multi-cloud data complexity.
