Alternatives to Talend Data Preparation
Compare Talend Data Preparation alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Talend Data Preparation in 2026. Compare features, ratings, user reviews, pricing, and more from Talend Data Preparation 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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Improvado
Improvado
Improvado is an AI-powered marketing intelligence platform that enables marketing and analytics teams to unlock the full potential of their data for impactful business decisions. Designed for medium to large enterprises and agencies, Improvado seamlessly integrates, simplifies, governs, and attributes complex data from various sources, delivering a unified view of marketing ROI and performance. With 500+ ready-made connectors extracting over 40,000 data fields from virtually every marketing platform you use, Improvado seamlessly: - Integrates all your marketing and sales data into a unified dashboard - Normalizes disparate data structures into consistent, usable formats - Generates instant reports that previously took days to compile manually - Delivers real-time cross-channel performance insights - Automatically updates your visualization tools like Tableau, Looker, or Power BI -
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Minitab Connect
Minitab
The best insights are based on the most complete, most accurate, and most timely data. Minitab Connect empowers data users from across the enterprise with self-serve tools to transform diverse data into a governed network of data pipelines, feed analytics initiatives and foster organization-wide collaboration. Users can effortlessly blend and explore data from databases, cloud and on-premise apps, unstructured data, spreadsheets, and more. Flexible, automated workflows accelerate every step of the data integration process, while powerful data preparation and visualization tools help yield transformative insights. Flexible, intuitive data integration tools let users connect and blend data from a variety of internal and external sources, like data warehouses, data lakes, IoT devices, SaaS applications, cloud storage, spreadsheets, and email. -
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Altair Monarch
Altair
An industry leader with over 30 years of experience in data discovery and transformation, Altair Monarch offers the fastest and easiest way to extract data from any source. Simple to construct workflows that require no coding enable users to collaborate as they transform difficult data such as PDFs spreadsheets, text files, as well as from big data and other structured sources, into rows and columns. Whether data is on premises or in the cloud, Altair can automate preparation tasks for expedited results and deliver data you trust for smart business decision making. To learn more about Altair Monarch or download a free version of its enterprise software, please click the links below. -
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Zoho DataPrep
Zoho
Zoho DataPrep is an AI-powered ETL platform designed to move, prepare, and clean data for seamless data workflows - without writing code, managing multiple tools, or hiring a data engineering team. Most organizations juggle separate tools for data ingestion, cleaning, and delivery. DataPrep consolidates the entire data lifecycle into one platform: extract from 90+ sources, transform with 250+ no-code tools or Python Code Studio, and deliver to 30+ destinations, including data warehouses and business applications. What makes DataPrep different: Ask Zia, the AI copilot powered by Zoho LLM, builds complete pipelines from natural language. Reverse ETL pushes enriched data back to CRMs and marketing tools automatically. Databridge connects on-prem databases behind firewalls for hybrid environments. MCP server support enables AI agents to control pipelines from tools like Claude and Cursor. SO 27001, SOC2, HIPAA, and GDPR compliant with built-in PII detection and data masking.Starting Price: $40 per month -
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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. -
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Talend Data Integration lets you connect and manage all your data, no matter where it lives. Use more than 1,000 connectors and components to connect virtually any data source with virtually any data environment, in the cloud or on premises. Easily develop and deploy reusable data pipelines with a drag-and-drop interface that’s 10 times faster than hand-coding. Talend has always supported scaling massive data sets to advanced data analytics or Spark platforms. We also partner with leading cloud service providers, data warehouses, and analytics platforms, including Amazon Web Services, Microsoft Azure, Google Cloud Platform, Snowflake, and Databricks. With Talend, data quality is embedded into every step of the data integration processes. Discover, highlight, and fix issues as data moves through your systems, before inconsistencies can disrupt or impact crucial decisions. Connect to data where it lives, use it where you need it.
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GOSS iCM
GOSS Interactive
GOSS iCM 10.0.2.0 is packed with new features that will help Administrators and Developers deliver improved products, services and information via websites and mobile devices. Administrators can make use of more GOSS Forms Expert enhancements with new Field Types and a unique tool to import a form from HTML to a GOSS iCM form. Developers can also do more with GOSS API server and Talend integration tools to further enhance customer experience. Talend helps create integration connections to over 200 other applications. GOSS iCM 10.0.2.0 includes support for Talend Data Integration, providing the field types and forms necessary for uploading a Talend Data Integration "job" to the API Server, ready for use in GOSS iCM. Talend offers robust data integration in an open and scalable architecture to maximise its value to your business. Simple, graphical tools and wizards get you up and running quickly with native code generation that streamlines development. -
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Talend Open Studio
Qlik
With Talend Open Studio, you can begin building basic data pipelines in no time. Execute simple ETL and data integration tasks, get graphical profiles of your data, and manage files — from a locally installed, open-source environment that you control. If your project is ready to go, jump right in with Talend Cloud. You get the same easy-to-use interface of Open Studio, plus the tools for collaboration, monitoring, and scheduling that ongoing projects require. You can easily add data quality, big data integration, and processing resources, and take advantage of the latest data sources, analytics technologies, and elastic capacity from AWS or Azure when you need it. Join the Talend Community and start your data integration journey on the right foot. Whether you’re a beginner or an expert, the Talend Community is the place to share best practices and hunt for new tricks you haven’t tried. -
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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. -
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Talend Pipeline Designer is a web-based self-service application that takes raw data and makes it analytics-ready. Compose reusable pipelines to extract, improve, and transform data from almost any source, then pass it to your choice of data warehouse destinations, where it can serve as the basis for the dashboards that power your business insights. Build and deploy data pipelines in less time. Design and preview, in batch or streaming, directly in your web browser with an easy, visual UI. Scale with native support for the latest hybrid and multi-cloud technologies, and improve productivity with real-time development and debugging. Live preview lets you instantly and visually diagnose issues with your data. Make better decisions faster with dataset documentation, quality proofing, and promotion. Transform data and improve data quality with built-in functions applied across batch or streaming pipelines, turning data health into an effortless, automated discipline.
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Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes. With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data preparation workflow (including data selection, cleansing, exploration, visualization, and processing at scale) from a single visual interface. You can use SQL to select the data you want from a wide variety of data sources and import it quickly. Next, you can use the Data Quality and Insights report to automatically verify data quality and detect anomalies, such as duplicate rows and target leakage. SageMaker Data Wrangler contains over 300 built-in data transformations so you can quickly transform data without writing any code. Once you have completed your data preparation workflow, you can scale it to your full datasets using SageMaker data processing jobs; train, tune, and deploy models.
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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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Altair Knowledge Hub
Altair
Self-service analytics tools promised to make end-users more agile and data-driven. However, the increased agility led to siloed and disconnected work as part of an ungoverned data free-for-all. Knowledge Hub addresses these issues with a solution that benefits business users, while simplifying and improving governance for IT. With an intuitive browser-based interface that automates data transformation tasks, Knowledge Hub is the market’s only collaborative data preparation solution. Business teams can work with data engineers and data scientists using a personalized experience for creating, validating and sharing governed, trusted datasets and analytic models. With no coding required, more people can share their work to make more informed decisions. Governance, data lineage and collaboration are managed using a cloud-ready solution designed to create innovation. An extensible, low- to no-code platform allows many people across the enterprise to easily transform data. -
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DataMotto
DataMotto
Your data almost always requires preprocessing to be ready for your needs. Our AI automates the tedious task of preparing and cleansing your data, saving you hours of work. Data analysts spend 80% of their time preprocessing and cleaning data for insights, a tedious, manual task. AI is a game-changer. Transform text columns like customer feedback into 0-5 numeric ratings. Identify patterns in customer feedback and create a new column for sentiment analysis. Remove unnecessary columns to focus on impactful data. Enriched with external data for comprehensive insights. Unreliable data leads to misguided decisions. Preparing high-quality, clean data should be the first priority in your data-driven decision-making process. Rest assured, we do not utilize your data to enhance our AI agents; your information remains strictly yours. We store your data with the most reliable and trusted cloud providers.Starting Price: $29 per month -
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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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Talend Data Fabric
Qlik
Talend Data Fabric’s suite of cloud services efficiently handles all your integration and integrity challenges — on-premises or in the cloud, any source, any endpoint. Deliver trusted data at the moment you need it — for every user, every time. Ingest and integrate data, applications, files, events and APIs from any source or endpoint to any location, on-premise and in the cloud, easier and faster with an intuitive interface and no coding. Embed quality into data management and guarantee ironclad regulatory compliance with a thoroughly collaborative, pervasive and cohesive approach to data governance. Make the most informed decisions based on high quality, trustworthy data derived from batch and real-time processing and bolstered with market-leading data cleaning and enrichment tools. Get more value from your data by making it available internally and externally. Extensive self-service capabilities make building APIs easy— improve customer engagement. -
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StarDQ
Starcom Information Technology
A powerful, real time enterprise solution for Cleansing, De-duping, and enriching the data. By integrating StarDQ Data Validation Solution, organizations can cleanse, match and unify data across multiple data sources and data domains, to create a strategic, trustworthy, valuable asset that enhances decision making power, reduce expenses and ensure seamless customer interaction. StarDQ Self-Service Data Quality Empowers business users to quickly prepare data sets with a visual, interactive interface that is designed for ease of use and suggests one-click fixes for inaccurate, incomplete, and duplicate data. Give business users, data stewards, and IT business analysts quick access to a set of easy-to-use data integration, Reusable Cleansing & De-duplication rules to improve the value of data efficiently. -
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Synthesized
Synthesized
Power up your AI and data projects with the most valuable data At Synthesized, we unlock data's full potential by automating all stages of data provisioning and data preparation with a cutting-edge AI. We protect from privacy and compliance hurdles by virtue of the data being synthesized through the platform. Software for preparing and provisioning of accurate synthetic data to build better models at scale. Businesses solve the problem of data sharing with Synthesized. 40% of companies investing in AI cannot report business gains. Stay ahead of your competitors and help data scientists, product and marketing teams focus on uncovering critical insight with our simple-to-use platform for data preparation, sanitization and quality assessment. Testing data-driven applications is difficult without representative datasets and this leads to issues when services go live. -
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Toad Data Point
Quest
Self-Service Data Preparation Tool. Toad® Data Point is a cross-platform, self-service, data-integration tool that simplifies data access, preparation and provisioning. It provides nearly limitless data connectivity and desktop data integration, and with the Workbook interface for business users, you get simple-to-use visual query building and workflow automation. Connect to a wide range of data sources, including SQL-based and NoSQL databases, ODBC, business intelligence sources, and Microsoft Excel or Access. Use a single tool for data profiling needs and get consistent results. Create a query without writing or editing SQL statements. Even for those familiar with SQL, the intuitive graphical user interface makes it easier to create relationships and visualize the query. Toad Data Point Professional lets each user choose between two different interfaces depending on their work. The traditional interface provides ultimate flexibility and a deep breadth of functionality. -
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Data Preparer
The Data Value Factory
A week's worth of manual data preparation in minutes. Reducing time to insight with intelligent data preparation. A New Approach to Data Preparation. Our Data Preparer software provides a new approach to preparing data for analysis. In Data Preparer, you describe what you need, and the software works out how to produce it. Hands-off Data Preparation. Data Preparer wrangles data without laborious hand-crafting of data preparation programs. In Data Preparer, you: Describe what you need. Provide data sources, a target structure, quality priorities and example data. The target structure and quality priorities make explicit what you need. The example data provides evidence that is used by Data Preparer to clean and integrate the data. Hand over to Data Preparer. Data Preparer explores how the data sources relate to each other and the target, and populates the target from the sources. Data Preparer explores different ways that the sources can be combined, and reformats dataStarting Price: $2500 per user per year -
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Coheris Spad
ChapsVision
Coheris Spad by ChapsVision is a self-service data analysis studio for Data Scientists from all sectors and industries. Coheris Spad by ChapsVision is taught in many major French and foreign schools and universities, giving it a great reputation in the Data Scientists community. Coheris Spad by ChapsVision provides you with a great methodological wealth covering a very broad spectrum in terms of data analysis. In a user-friendly and intuitive environment, you have all the power you need to discover, prepare and analyze your data. Coheris Spad by ChapsVision allows you to connect to many sources to prepare your data. You have a vast library of data processing functions at your disposal: filtering, stacking, aggregation, transposition, join, management of missing data, search for atypical distributions, statistical or supervised recoding, formatting. -
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MassFeeds
Mass Analytics
MassFeeds is a specialized data preparation tool. It allows to automatically and quickly prepare data presenting multiple formats and coming from various sources. It is designed to accelerate and facilitate the data prep process through the creation of automated data pipelines for your marketing mix model. Data is being created and collected at an increasing pace and organizations cannot expect heavy manual data preparation processes to scale. MassFeeds help clients prepare data collected from various sources and present multiple formats using a seamless, automated, and easy-to-tweak process. Using MassFeeds’ pipeline of processors, data is structured into a standard format that can easily be ingested for modeling. Avoid manual data preparation which is prone to human errors. Make data processing accessible to a wider spectrum of users. Save more than 40% in processing time by automating repetitive tasks. -
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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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Invenis
Invenis
Invenis is a data analysis and mining platform. Clean, aggregate and analyze your data in a simple way and scale up to improve your decision making. Data harmonization, preparation and cleansing, data enrichment, and aggregation. Prediction, segmentation, recommendation. Invenis connects to all your data sources, MySQL, Oracle, Postgres SQL, HDFS (Hadoop), and allows you to analyze all your files, CSV, JSON, etc. Make predictions on all your data, without code and without the need for a team of experts. The best algorithms are automatically chosen according to your data and use cases. Repetitive tasks and your recurring analyses are automated. Save time to exploit the full potential of your data! You can work as a team, with the other analysts in your team, but also with all teams. This makes decision-making more efficient and information is disseminated to all levels of the company. -
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Oracle Big Data Preparation
Oracle
Oracle Big Data Preparation Cloud Service is a managed Platform as a Service (PaaS) cloud-based offering that enables you to rapidly ingest, repair, enrich, and publish large data sets with end-to-end visibility in an interactive environment. You can integrate your data with other Oracle Cloud Services, such as Oracle Business Intelligence Cloud Service, for down-stream analysis. Profile metrics and visualizations are important features of Oracle Big Data Preparation Cloud Service. When a data set is ingested, you have visual access to the profile results and summary of each column that was profiled, and the results of duplicate entity analysis completed on your entire data set. Visualize governance tasks on the service Home page with easily understood runtime metrics, data health reports, and alerts. Keep track of your transforms and ensure that files are processed correctly. See the entire data pipeline, from ingestion to enrichment and publishing. -
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Today’s always-on economy is generating data at ever-increasing rates. You know it’s essential to be data-driven and use that data to react and innovate quickly so you can outpace your competition. What if you could simplify data preparation and data provisioning? What if you could more easily perform database analysis and share data insights with data analysts across teams? What if you could do all this and realize a time savings of up to 40%? Used in conjunction with Toad® Data Point, Toad Intelligence Central is a cost-effective, server–based application that transfers power back to your business. Improve collaboration among Toad users through secure, governed access to SQL scripts, project artifacts, provisioned data and automation workflows. Easily abstract structured and unstructured data sources through advanced data connectivity to create refreshable datasets for use by any Toad user.
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DataPreparator
DataPreparator
DataPreparator is a free software tool designed to assist with common tasks of data preparation (or data preprocessing) in data analysis and data mining. DataPreparator can assist you with exploring and preparing data in various ways prior to data analysis or data mining. It includes operators for cleaning, discretization, numeration, scaling, attribute selection, missing values, outliers, statistics, visualization, balancing, sampling, row selection, and several other tasks. Data access from text files, relational databases, and Excel workbooks. Handling of large volumes of data (since data sets are not stored in the computer memory, with the exception of Excel workbooks and result sets of some databases where database drivers do not support data streaming). Stand alone tool, independent of any other tools. User friendly graphical user interface. Operator chaining to create sequences of preprocessing transformations (operator tree). Creating of model tree for test/execution data. -
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Azure Open Datasets
Microsoft
Improve the accuracy of your machine learning models with publicly available datasets. Save time on data discovery and preparation by using curated datasets that are ready to use in machine learning workflows and easy to access from Azure services. Account for real-world factors that can impact business outcomes. By incorporating features from curated datasets into your machine learning models, improve the accuracy of predictions and reduce data preparation time. Share datasets with a growing community of data scientists and developers. Deliver insights at hyperscale using Azure Open Datasets with Azure’s machine learning and data analytics solutions. There's no additional charge for using most Open Datasets. Pay only for Azure services consumed while using Open Datasets, such as virtual machine instances, storage, networking resources, and machine learning. Curated open data made easily accessible on Azure. -
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Denodo
Denodo Technologies
The core technology to enable modern data integration and data management solutions. Quickly connect disparate structured and unstructured sources. Catalog your entire data ecosystem. Data stays in the sources and it is accessed on demand, with no need to create another copy. Build data models that suit the needs of the consumer, even across multiple sources. Hide the complexity of your back-end technologies from the end users. The virtual model can be secured and consumed using standard SQL and other formats like REST, SOAP and OData. Easy access to all types of data. Full data integration and data modeling capabilities. Active Data Catalog and self-service capabilities for data & metadata discovery and data preparation. Full data security and data governance capabilities. Fast intelligent execution of data queries. Real-time data delivery in any format. Ability to create data marketplaces. Decoupling of business applications from data systems to facilitate data-driven strategies. -
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Alteryx
Alteryx
Step into a new era of analytics with the Alteryx AI Platform. Empower your organization with automated data preparation, AI-powered analytics, and approachable machine learning — all with embedded governance and security. Welcome to the future of data-driven decisions for every user, every team, every step of the way. Empower your teams with an easy, intuitive user experience allowing everyone to create analytic solutions that improve productivity, efficiency, and the bottom line. Build an analytics culture with an end-to-end cloud analytics platform and transform data into insights with self-service data prep, machine learning, and AI-generated insights. Reduce risk and ensure your data is fully protected with the latest security standards and certifications. Connect to your data and applications with open API standards. -
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Weights & Biases
Weights & Biases
Experiment tracking, hyperparameter optimization, model and dataset versioning with Weights & Biases (WandB). Track, compare, and visualize ML experiments with 5 lines of code. Add a few lines to your script, and each time you train a new version of your model, you'll see a new experiment stream live to your dashboard. Optimize models with our massively scalable hyperparameter search tool. Sweeps are lightweight, fast to set up, and plug in to your existing infrastructure for running models. Save every detail of your end-to-end machine learning pipeline — data preparation, data versioning, training, and evaluation. It's never been easier to share project updates. Quickly and easily implement experiment logging by adding just a few lines to your script and start logging results. Our lightweight integration works with any Python script. W&B Weave is here to help developers build and iterate on their AI applications with confidence. -
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Cloud Dataprep
Google
Cloud Dataprep by Trifacta is an intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis, reporting, and machine learning. Because Cloud Dataprep is serverless and works at any scale, there is no infrastructure to deploy or manage. Your next ideal data transformation is suggested and predicted with each UI input, so you don’t have to write code. Cloud Dataprep is an integrated partner service operated by Trifacta and based on their industry-leading data preparation solution. Google works closely with Trifacta to provide a seamless user experience that removes the need for up-front software installation, separate licensing costs, or ongoing operational overhead. Cloud Dataprep is fully managed and scales on demand to meet your growing data preparation needs so you can stay focused on analysis. -
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Drive more successful analytics, data migration, and master data management (MDM) initiatives with the SAP Agile Data Preparation application. Quickly transform your data into actionable, easily consumable information and simplify how you access and discover the shape of data to become far more productive and agile than you ever dreamed. The Usage Metric for the Cloud Service is Users. Users are individuals who prepare data sets, manage and monitor data sets, or execute data stewardship functions on data sets using the Cloud Service. With each subscription, Customer must order an annual foundation subscription, which is available in blocks of 64 GB of memory per year, up to a maximum of 512 GB of memory per year.
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Astera Dataprep
Astera
Astera Dataprep is an AI-powered, chat-based data preparation solution that lets users clean, transform, and ready raw data for analysis, reporting, and integration using natural language commands through a simple conversational interface, eliminating the need for coding, complex formulas, or technical skills; you describe what you want in plain English and it performs actions like merging, filtering, deduplicating, reshaping, and transforming data in real time while showing an interactive Excel-like preview of changes. It connects to diverse sources such as spreadsheets, CSV files, database tables, and cloud storage, so you can combine multi-source data in one workspace, visualize data quality issues like missing values and duplicates, fix them instantly, and ensure consistent, accurate results. Users can save preparation steps as reusable workflows, schedule automated jobs to keep data up to date, and export clean data to analytics or BI tools. -
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Talend Data Catalog
Qlik
Talend Data Catalog gives your organization a single, secure point of control for your data. With robust tools for search and discovery, and connectors to extract metadata from virtually any data source, Data Catalog makes it easy to protect your data, govern your analytics, manage data pipelines, and accelerate your ETL processes. Data Catalog automatically crawls, profiles, organizes, links, and enriches all your metadata. Up to 80% of the information associated with the data is documented automatically and kept up-to-date through smart relationships and machine learning, continually delivering the most current data to the user. Make data governance a team sport with a secure single point of control where you can collaborate to improve data accessibility, accuracy, and business relevance. Support data privacy and regulatory compliance with intelligent data lineage tracing and compliance tracking. -
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IRI CoSort
IRI, The CoSort Company
What is CoSort? IRI CoSort® is a fast, affordable, and easy-to-use sort/merge/report utility, and a full-featured data transformation and preparation package. The world's first sort product off the mainframe, CoSort continues to deliver maximum price-performance and functional versatility for the manipulation and blending of big data sources. CoSort also powers the IRI Voracity data management platform and many third-party tools. What does CoSort do? CoSort runs multi-threaded sort/merge jobs AND many other high-volume (big data) manipulations separately, or in combination. It can also cleanse, mask, convert, and report at the same time. Self-documenting 4GL scripts supported in Eclipse™ help you speed or leave legacy: sort, ETL and BI tools; COBOL and SQL programs, plus Hadoop, Perl, Python, and other batch jobs. Use CoSort to sort, join, aggregate, and load 2-20X faster than data wrangling and BI tools, 10x faster than SQL transforms, and 6x faster than most ETL tools.Starting Price: $4,000 perpetual use -
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Oracle Analytics Cloud
Oracle
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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Available in IBM Watson® Studio and Watson™ Knowledge Catalog, the data refinery tool saves data preparation time by quickly transforming large amounts of raw data into consumable, quality information that’s ready for analytics. Interactively discover, cleanse, and transform your data with over 100 built-in operations. No coding skills are required. Understand the quality and distribution of your data using dozens of built-in charts, graphs, and statistics. Automatically detect data types and business classifications. Access and explore data residing in a wide spectrum of data sources within your organization or the cloud. Automatically enforce policies set by data governance professionals. Schedule data flow executions for repeatable outcomes. Monitor results and receive notifications. Easily scale out via Apache Spark to apply transformation recipes on full data sets. No management of Apache Spark clusters needed.
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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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Microsoft Power Query
Microsoft
Power Query is the easiest way to connect, extract, transform and load data from a wide range of sources. Power Query is a data transformation and data preparation engine. Power Query comes with a graphical interface for getting data from sources and a Power Query Editor for applying transformations. Because the engine is available in many products and services, the destination where the data will be stored depends on where Power Query was used. Using Power Query, you can perform the extract, transform, and load (ETL) processing of data. Microsoft’s Data Connectivity and Data Preparation technology that lets you seamlessly access data stored in hundreds of sources and reshape it to fit your needs—all with an easy to use, engaging, no-code experience. Power Query supports hundreds of data sources with built-in connectors, generic interfaces (such as REST APIs, ODBC, OLE, DB and OData) and the Power Query SDK to build your own connectors. -
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Sweephy
Sweephy
No-code data cleaning, preparing, and ML platform. Specialized development for business cases & on-premise setup for data privacy. Start to use Sweephy's free modules. No-code machine learning-powered tools. Just give the data and keywords that you are checking for. Our model can create a report based on keywords. It doesn't just check the words in the text, our model is classifying semantically and grammatically. Let us find similar or the same records in your database. Create a unified user database from different data sources with Sweephy Dedupu API. With Sweephy API, easily create object detection models by finetuning pre-trained models. Just send us some use cases, and we will create an appropriate model for you. Such as classifying documents, pdfs, receipts, or invoices. Just upload the image dataset. Our model will clean the noise on the image easily or we can create a finetuned model for your business case.Starting Price: €59 per month -
44
Azure Synapse Analytics
Microsoft
Azure Synapse is Azure SQL Data Warehouse evolved. Azure Synapse is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless or provisioned resources—at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs. -
45
Informatica Data Engineering
Informatica
Ingest, prepare, and process data pipelines at scale for AI and analytics in the cloud. Informatica’s comprehensive data engineering portfolio provides everything you need to process and prepare big data engineering workloads to fuel AI and analytics: robust data integration, data quality, streaming, masking, and data preparation capabilities. Rapidly build intelligent data pipelines with CLAIRE®-powered automation, including automatic change data capture (CDC) Ingest thousands of databases and millions of files, and streaming events. Accelerate time-to-value ROI with self-service access to trusted, high-quality data. Get unbiased, real-world insights on Informatica data engineering solutions from peers you trust. Reference architectures for sustainable data engineering solutions. AI-powered data engineering in the cloud delivers the trusted, high quality data your analysts and data scientists need to transform business. -
46
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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Access, explore and prepare data while discovering new trends and patterns. SAS Visual Data Science helps you create and share smart visualizations and interactive reports through a single, self-service interface. It uses machine learning, text analytics and econometrics capabilities for better forecasting and optimization, plus it manages and registers SAS and open-source models within projects or as standalone models. Visualize and discover relevant relationships in your data. Create and share interactive reports and dashboards, and use self-service analytics to quickly assess probable outcomes for smarter, more data-driven decisions. Explore data and build or adjust predictive analytical models with this solution running in SAS® Viya®. Data scientists, statisticians, and analysts can collaborate and iteratively refine models for each segment or group to make decisions based on accurate insights.
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48
Amazon SageMaker Canvas
Amazon
Amazon SageMaker Canvas expands access to machine learning (ML) by providing business analysts with a visual interface that allows them to generate accurate ML predictions on their own, without requiring any ML experience or having to write a single line of code. Visual point-and-click interface to connect, prepare, analyze, and explore data for building ML models and generating accurate predictions. Automatically build ML models to run what-if analysis and generate single or bulk predictions with a few clicks. Boost collaboration between business analysts and data scientists by sharing, reviewing, and updating ML models across tools. Import ML models from anywhere and generate predictions directly in Amazon SageMaker Canvas. With Amazon SageMaker Canvas, you can import data from disparate sources, select values you want to predict, automatically prepare and explore data, and quickly and more easily build ML models. You can then analyze models and generate accurate predictions. -
49
Upsolver
Upsolver
Upsolver makes it incredibly simple to build a governed data lake and to manage, integrate and prepare streaming data for analysis. Define pipelines using only SQL on auto-generated schema-on-read. Easy visual IDE to accelerate building pipelines. Add Upserts and Deletes to data lake tables. Blend streaming and large-scale batch data. Automated schema evolution and reprocessing from previous state. Automatic orchestration of pipelines (no DAGs). Fully-managed execution at scale. Strong consistency guarantee over object storage. Near-zero maintenance overhead for analytics-ready data. Built-in hygiene for data lake tables including columnar formats, partitioning, compaction and vacuuming. 100,000 events per second (billions daily) at low cost. Continuous lock-free compaction to avoid “small files” problem. Parquet-based tables for fast queries. -
50
Tableau Prep
Salesforce
Tableau Prep changes the way traditional data prep is performed in an organization. By providing a visual and direct way to combine, shape and clean data, Tableau Prep makes it easier for analysts and business users to start their analysis, faster. Tableau Prep is comprised of two products: Tableau Prep Builder for building your data flows, and Tableau Prep Conductor for scheduling, monitoring and managing flows across the organization. Three coordinated views let you see row-level data, profiles of each column, and your entire data preparation process. Pick which view to interact with based on the task at hand. If you want to edit a value, you select and directly edit. Change your join type, and see the result right away. With each action, you instantly see your data change, even on millions of rows of data. Tableau Prep Builder gives you the freedom to re-order steps and experiment without consequence.Starting Price: $70 per user per month
