List of the Top 25 Data Preparation Software for Startups in 2025

BigQuery offers an extensive array of data preparation features designed to assist organizations in cleansing, transforming, and organizing their data for effective analysis. With its integrated SQL functionalities and support for a variety of ETL tools, BigQuery simplifies the process of handling unrefined data and readying it for intricate queries. The platform also allows for data partitioning and clustering, which boosts query efficiency during the preparation stage. By automating numerous repetitive tasks, BigQuery optimizes the data preparation workflow, enabling teams to focus more on analytical tasks. New users can take advantage of $300 in free credits to explore BigQuery’s data preparation capabilities and enhance their data’s readiness for analytical purposes.

Visokio has developed Omniscope Evo, a comprehensive and adaptable business intelligence tool designed for data processing, analysis, and reporting across various devices. This innovative platform allows users to begin with any type of data, regardless of its format, facilitating the loading, editing, combining, and transforming of data while enabling visual exploration. By leveraging machine learning algorithms, users can derive valuable insights and automate their data workflows seamlessly. Omniscope stands out as a robust BI solution that is responsive and optimized for mobile use, ensuring a user-friendly experience on all devices. Additionally, users can enhance their data workflows through the integration of Python or R scripts, and enrich their reports with dynamic JavaScript visualizations. As a versatile solution, Omniscope caters to the needs of data managers, analysts, and scientists alike, providing them with powerful tools for data visualization and analysis. Ultimately, this platform serves as an essential resource for anyone involved in managing and interpreting data effectively.

SparkGrid by Sparklabs is a comprehensive data management platform designed to simplify and enhance interaction with the Snowflake cloud data platform through a familiar tabularized spreadsheet-style interface. By bridging the gap between visual data manipulation and SQL query generation, SparkGrid enables users—regardless of their technical background—to perform complex database management tasks with ease and confidence. The platform supports multi-field editing, allowing users to edit multiple cells simultaneously, and provides live SQL statement previews to maintain transparency and control over changes. Its intuitive GUI facilitates smooth navigation, selection, and manipulation of tables, rows, and columns without requiring users to write extensive code. SparkGrid incorporates robust built-in error handling and security measures to ensure data integrity, prevent unauthorized access, and protect sensitive information. It promotes universal accessibility, democratizing advanced Snowflake data management capabilities to diverse teams across organizations. Available on AWS Marketplace, SparkGrid offers easy cloud deployment and integration within existing workflows. By enabling direct database interaction in a secure and user-friendly environment, SparkGrid empowers businesses to accelerate data-driven decision-making and innovation. The platform is ideal for teams seeking to optimize productivity while reducing reliance on specialized technical staff. Overall, SparkGrid transforms complex data management into an accessible, efficient, and secure process for Snowflake users.

Gathr serves as a comprehensive Data+AI fabric, enabling businesses to swiftly produce data and AI solutions that are ready for production. This innovative framework allows teams to seamlessly gather, process, and utilize data while harnessing AI capabilities to create intelligence and develop consumer-facing applications, all with exceptional speed, scalability, and assurance. By promoting a self-service, AI-enhanced, and collaborative model, Gathr empowers data and AI professionals to significantly enhance their productivity, enabling teams to accomplish more impactful tasks in shorter timeframes. With full control over their data and AI resources, as well as the flexibility to experiment and innovate continuously, Gathr ensures a dependable performance even at significant scales, allowing organizations to confidently transition proofs of concept into full production. Furthermore, Gathr accommodates both cloud-based and air-gapped installations, making it a versatile solution for various enterprise requirements. Recognized by top analysts like Gartner and Forrester, Gathr has become a preferred partner for numerous Fortune 500 firms, including notable companies such as United, Kroger, Philips, and Truist, reflecting its strong reputation and reliability in the industry. This endorsement from leading analysts underscores Gathr's commitment to delivering cutting-edge solutions that meet the evolving needs of enterprises today.

IBM® SPSS® Statistics software is utilized by diverse clients to address specific business challenges within various industries, ultimately enhancing the quality of decision-making processes. The platform encompasses sophisticated statistical analysis, an extensive collection of machine learning algorithms, capabilities for text analysis, open-source integration, compatibility with big data, and effortless application deployment. Notably, its user-friendly interface, adaptability, and scalability ensure that SPSS remains accessible to individuals with varying levels of expertise. Furthermore, it is well-suited for projects ranging from small-scale tasks to complex initiatives, enabling users to uncover new opportunities, boost operational efficiency, and reduce potential risks. In addition, the software's robust features make it a valuable tool for organizations looking to enhance their analytical capabilities.

Snowflake is a leading AI Data Cloud platform designed to help organizations harness the full potential of their data by breaking down silos and streamlining data management with unmatched scale and simplicity. The platform’s interoperable storage capability offers near-infinite access to data across multiple clouds and regions, enabling seamless collaboration and analytics. Snowflake’s elastic compute engine ensures top-tier performance for diverse workloads, automatically scaling to meet demand and optimize costs. Cortex AI, Snowflake’s integrated AI service, provides enterprises secure access to industry-leading large language models and conversational AI capabilities to accelerate data-driven decision making. Snowflake’s comprehensive cloud services automate infrastructure management, helping businesses reduce operational complexity and improve reliability. Snowgrid extends data and app connectivity globally across regions and clouds with consistent security and governance. The Horizon Catalog is a powerful governance tool that ensures compliance, privacy, and controlled access to data assets. Snowflake Marketplace facilitates easy discovery and collaboration by connecting customers to vital data and applications within the AI Data Cloud ecosystem. Trusted by more than 11,000 customers globally, including leading brands across healthcare, finance, retail, and media, Snowflake drives innovation and competitive advantage. Their extensive developer resources, training, and community support empower organizations to build, deploy, and scale AI and data applications securely and efficiently.

Altair Monarch, boasting over three decades of expertise in data discovery and transformation, provides an exceptionally swift and effective solution for extracting data from diverse sources. The platform empowers users to work together seamlessly, enabling the creation of straightforward workflows that eliminate the need for programming skills. It can convert intricate data formats like PDFs, text documents, and large datasets into organized rows or columns. Additionally, Altair facilitates the automation of data preparation both on-site and in the cloud, ensuring dependable data is available for informed business decisions. For further insights into Altair Monarch and to obtain a complimentary version of its enterprise software, please click on the links below. This powerful tool stands out as an essential resource for organizations aiming to enhance their data management processes.

JMP is a versatile data analysis application that works seamlessly on both Mac and Windows platforms, offering a blend of advanced statistical features and captivating interactive visualizations. Its intuitive drag-and-drop interface streamlines the data importation and analysis process, complemented by interconnected graphs, a vast array of sophisticated analytic tools, a built-in scripting language, and multiple sharing functionalities, all designed to enhance users' ability to examine their datasets both efficiently and effectively. Originally developed in the 1980s to capitalize on the advantages of graphical user interfaces in personal computing, JMP has continually progressed by integrating cutting-edge statistical methodologies and tailored analysis techniques from various sectors with each new iteration. Additionally, John Sall, the organization's founder, plays an active role as the Chief Architect, ensuring that the software evolves to meet the dynamic needs of analytical technology. This commitment to innovation and user experience underscores JMP's reputation as a leading choice for data analysis across numerous fields.

Dataiku is an advanced platform designed for data science and machine learning that empowers teams to build, deploy, and manage AI and analytics projects on a significant scale. It fosters collaboration among a wide array of users, including data scientists and business analysts, enabling them to collaboratively develop data pipelines, create machine learning models, and prepare data using both visual tools and coding options. By supporting the complete AI lifecycle, Dataiku offers vital resources for data preparation, model training, deployment, and continuous project monitoring. The platform also features integrations that bolster its functionality, including generative AI, which facilitates innovation and the implementation of AI solutions across different industries. As a result, Dataiku stands out as an essential resource for teams aiming to effectively leverage the capabilities of AI in their operations and decision-making processes. Its versatility and comprehensive suite of tools make it an ideal choice for organizations seeking to enhance their analytical capabilities.

Teradata VantageCloud delivers a powerful fusion of cloud-native analytics, enterprise-class scalability, and advanced AI/ML capabilities, making it a trusted choice for large organizations managing complex data ecosystems. It empowers teams to unify siloed data assets across platforms, extract insights at speed, and operationalize AI at scale. Its architecture supports real-time data streaming, GPU-powered analytics, and open ecosystem compatibility—including integration with Apache Iceberg and the top three cloud platforms—for maximum flexibility. VantageCloud also includes smart governance tools, advanced cost transparency, and fine-grained access controls to help IT leaders maintain security and optimize resource use. With VantageCloud, organizations are better equipped to innovate rapidly, respond to shifting market demands, and future-proof their data strategies.

Browser Use is an innovative open-source library in Python that enables AI agents to seamlessly engage with web browsers. By integrating advanced AI functionalities with robust browser automation, it allows agents to perform a variety of tasks, including submitting job applications, navigating websites, collecting information, and replying to messages on platforms like WhatsApp. This library supports multiple large language models, such as GPT-4, Claude 3, and Llama 2, facilitating the execution of complex web interactions through a user-friendly interface. Among its impressive features are the ability to recognize visuals while extracting HTML structures for comprehensive web interaction, automated handling of numerous tabs to simplify intricate processes, and element tracking that utilizes XPaths extracted from clicked elements to replicate specific actions executed by the language models. Users are also able to add personalized functionalities, such as data storage in files, executing database queries, sending notifications, or requesting human input. In addition, Browser Use comes with intelligent error handling and self-recovery features, which ensure that automated workflows stay effective and resilient against disruptions. Overall, this combination of capabilities positions Browser Use as a formidable resource for developers aiming to enhance their web automation projects with AI-driven features, ultimately paving the way for more efficient digital interactions.

Rivery's ETL platform streamlines the consolidation, transformation, and management of all internal and external data sources within the cloud for businesses. Notable Features: Pre-built Data Models: Rivery offers a comprehensive collection of pre-configured data models that empower data teams to rapidly establish effective data pipelines. Fully Managed: This platform operates without the need for coding, is auto-scalable, and is designed to be user-friendly, freeing up teams to concentrate on essential tasks instead of backend upkeep. Multiple Environments: Rivery provides the capability for teams to build and replicate tailored environments suited for individual teams or specific projects. Reverse ETL: This feature facilitates the automatic transfer of data from cloud warehouses to various business applications, marketing platforms, customer data platforms, and more, enhancing operational efficiency. Additionally, Rivery's innovative solutions help organizations harness their data more effectively, driving informed decision-making across all departments.

An advanced labeling platform designed for various stages and types of machine learning development is at your service. By utilizing a collection of top-tier computer vision algorithms, we can swiftly identify and categorize the content within your images and videos. Traditionally, creating thorough segmentation data has been a labor-intensive endeavor; however, our machine assistance can enhance productivity by up to 70%, ultimately conserving both time and financial resources. We harness machine learning to suggest labels that facilitate and expedite human labeling processes, employing computer vision models that can automatically detect, localize, and classify elements in your images and videos before passing the task to our skilled workforce. This approach to automatic labeling not only decreases labor costs but also allows annotators to focus on the more intricate aspects of the annotation process. Furthermore, our video annotation tool is engineered to natively support 4K resolution and lengthy videos, incorporating cutting-edge features such as interpolation, object proposal, and entity resolution, ensuring a comprehensive and efficient annotation experience. With our platform, you can achieve higher accuracy and efficiency in your machine learning projects.

Telegraf serves as an open-source server agent designed to efficiently gather metrics from various sensors, stacks, and systems. Acting as a plugin-centric agent, it not only collects but also transmits metrics and events from a diverse array of sources including systems, databases, and IoT devices. Engineered in Go, it compiles into a single binary, requiring no external dependencies and consuming minimal memory. Telegraf supports a vast range of input sources, allowing for the seamless writing of data to numerous output destinations. With its plugin architecture, it is effortlessly extendable for both data collection and output purposes. Additionally, Telegraf boasts over 300 plugins developed by community data experts, making the collection of metrics from your endpoints a straightforward task. This flexibility and community support make Telegraf an invaluable tool for monitoring and performance analysis.

Oracle Analytics serves as an all-encompassing platform tailored for various analytics user roles, incorporating AI and machine learning throughout to enhance productivity and facilitate more informed business decisions. You can choose between Oracle Analytics Cloud, our cloud-based service, or Oracle Analytics Server, our solution for on-premises deployment, both of which guarantee strong security and governance features without sacrificing quality. This versatility allows organizations to select the deployment method that best suits their needs while maintaining essential data protection standards.

Zoho DataPrep is a sophisticated self-service tool for data preparation that enables businesses to efficiently manage their data by importing it from numerous sources, automatically detecting errors, uncovering patterns within the data, enhancing and transforming it, and scheduling exports, all while eliminating the necessity for any coding skills. This functionality makes it an invaluable asset for organizations looking to streamline their data processes.

For over forty years, IRI CoSort has established itself as a leader in the realm of big data sorting and transformation technologies. With its sophisticated algorithms, automatic memory management, multi-core utilization, and I/O optimization, CoSort stands as the most reliable choice for production data processing. Pioneering the field, CoSort was the first commercial sorting package made available for open systems, debuting on CP/M in 1980, followed by MS-DOS in 1982, Unix in 1985, and Windows in 1995. It has been consistently recognized as the fastest commercial-grade sorting solution for Unix systems and was hailed by PC Week as the "top performing" sort tool for Windows environments. Originally launched for CP/M in 1978 and subsequently for DOS, Unix, and Windows, CoSort earned a readership award from DM Review magazine in 2000 for its exceptional performance. Initially created as a file sorting utility, it has since expanded to include interfaces that replace or convert sort program parameters used in a variety of platforms such as IBM DataStage, Informatica, MF COBOL, JCL, NATURAL, SAS, and SyncSort. In 1992, CoSort introduced additional manipulation capabilities through a control language interface modeled after the VMS sort utility syntax, which has been refined over the years to support structured data integration and staging for both flat files and relational databases, resulting in a suite of spinoff products that enhance its versatility and utility. In this way, CoSort continues to adapt to the evolving needs of data processing in a rapidly changing technological landscape.

The Rulex Platform serves as a comprehensive data management and decision intelligence system that enables users to create, execute, and uphold enterprise-grade solutions grounded in business data. By skillfully orchestrating data and harnessing decision intelligence tools such as mathematical optimization, eXplainable AI, rule engines, and machine learning, the Rulex Platform effectively tackles diverse business challenges and edge cases, thereby enhancing operational efficiency and decision-making processes. Furthermore, Rulex solutions offer seamless integration capabilities with any third-party systems and architectures via APIs, can be effortlessly deployed into various environments using DevOps tools, and allow for flexible flow automation to schedule their execution, ensuring adaptability in dynamic business landscapes. This versatility makes Rulex an invaluable tool for organizations looking to optimize their data-driven strategies.

Boomi provides an enterprise-grade iPaaS solution that facilitates the seamless integration of applications, APIs, and data to accelerate digital transformation. The platform allows businesses to automate processes, manage data flows, and orchestrate AI agents at scale. Boomi’s flexible and secure ecosystem is designed to simplify complex integrations, improve operational efficiency, and ensure scalability. Trusted by thousands of global businesses, Boomi combines AI automation with robust API management to deliver powerful, real-time insights and capabilities for enterprises seeking to innovate and streamline their operations. Boomi Agentstudio is a cutting-edge platform that redefines AI agent management, enabling enterprises to efficiently design, deploy, and govern AI agents for various business applications. With a focus on scalability, compliance, and security, it integrates AI agents into business processes to enhance productivity. Boomi’s robust features, including real-time monitoring, governance tools, and an extensive marketplace, allow businesses to easily manage AI initiatives, automate workflows, and unlock significant operational benefits without compromising on ethics or security.

Stata delivers everything you need for reproducible data analysis—powerful statistics, visualization, data manipulation, and automated reporting—all in one intuitive platform. Known for its speed and precision, Stata features an extensive graphical interface that simplifies usability while allowing for full programmability. The software combines the convenience of menus, dialogs, and buttons, giving users a flexible approach to data management. Its drag-and-drop functionality and point-and-click capabilities make accessing Stata's vast array of statistical and graphical tools straightforward. Additionally, users can quickly execute commands using Stata's user-friendly command syntax, which enhances efficiency. Furthermore, Stata logs every action and result, ensuring that all analyses maintain reproducibility and integrity, regardless of whether menu options or dialog boxes are used. Complete command-line programming and capabilities, including a robust matrix language, are also part of Stata's offerings. This versatility allows users to utilize all pre-installed commands, facilitating the creation of new commands or the scripting of complex analyses, thereby broadening the scope of what can be achieved within the software.

Datameer serves as the essential data solution for examining, preparing, visualizing, and organizing insights from Snowflake. It facilitates everything from analyzing unprocessed datasets to influencing strategic business choices, making it a comprehensive tool for all data-related needs.

Many users depend on Excel, VBA/Python scripts, or SQL queries for data preparation, often because they are unaware of better alternatives. EasyMorph is a standout solution that provides over 150 built-in actions for efficient and visual data transformation and automation, all without requiring any coding knowledge. By adopting EasyMorph, users can bypass the challenges posed by complex scripts and cumbersome spreadsheets, which can significantly boost their productivity. This tool enables you to effortlessly gather data from a wide range of sources, including databases, spreadsheets, emails and their attachments, text files, remote folders, corporate platforms like SharePoint, and web APIs, all without any need for programming skills. With its visual interface, you can easily filter and extract the exact data you need, eliminating the need for assistance from IT departments. Additionally, EasyMorph streamlines the automation of repetitive tasks related to files, spreadsheets, websites, and emails, allowing users to transform monotonous activities into a simple button press. Not only does EasyMorph simplify the data preparation workflow, but it also empowers individuals to concentrate on more strategic endeavors rather than getting trapped in the complexities of data management. Ultimately, this approach not only enhances efficiency but also fosters a more innovative mindset among users, encouraging them to explore new possibilities in data analysis.

SystemLink simplifies the upkeep of testing systems by minimizing reliance on manual processes. It achieves this through the automation of updates and constant health monitoring, delivering critical insights that bolster situational awareness and preparedness for testing, thereby promoting superior results throughout the product's lifecycle. With SystemLink, you can reliably ensure that software configurations are accurate and that testing apparatus adheres to all vital calibration and quality standards. Leveraging a strong framework for automation and connectivity, SystemLink aggregates all testing and measurement data into a unified, easily accessible data repository. This setup enables users to effortlessly monitor asset utilization, anticipate calibration requirements, and evaluate historical test results, trends, and production metrics, equipping them to make well-informed choices concerning investment in assets, maintenance timelines, and possible adjustments to tests or products. Moreover, this comprehensive insight not only supports ongoing refinements but also encourages innovation within the testing process, fostering a culture of continuous improvement.

TADA, developed by MyDataModels, presents a premier predictive analytics solution that empowers professionals to harness their Small Data for enhancing business operations through a straightforward and easily implementable tool. This innovative platform allows users to swiftly create predictive models that yield actionable insights much quicker than traditional methods, condensing processes that would typically take days into mere hours, all thanks to an automated data preparation feature that cuts down time by 40%. Users can derive significant outcomes from their data without the necessity for coding skills or deep machine learning expertise. By employing user-friendly and transparent models made up of simple formulas, individuals can effectively manage their time and transform raw data into valuable insights seamlessly across multiple platforms. The intricate task of building predictive models is greatly simplified as TADA automates the generative machine learning process, making it as easy as entering data to receive a model output instantly. In addition, TADA facilitates the development and execution of machine learning models on a variety of devices and platforms, ensuring its accessibility through comprehensive web-based pre-processing functions. As a result, organizations can significantly boost their operational efficiency and improve decision-making processes, enabling them to stay competitive in a data-driven environment. This combination of speed, simplicity, and accessibility positions TADA as an invaluable asset for businesses looking to unlock the full potential of their data.

Bipp has developed a cloud-based BI platform that leverages the unique bippLang data modeling language, designed specifically for SQL and data analysts right from the start. This platform boosts team productivity, empowering organizations to make faster and more informed decisions. By simplifying SQL queries, bippLang allows users to create complex, reusable data models that feature custom columns and dynamic sub-queries. The integration of Git-based version control enables collaborative efforts among analysts, ensuring that all data models and SQL queries have consistent backups. An always-free version of the platform grants users access to a powerful BI tool along with professional support at no cost. In-database analytics streamline processes by removing the necessity of transferring data elsewhere, resulting in quicker access and real-time insights. The auto-SQL generator smartly uses established joins within the data model to identify which tables to merge, dynamically crafting sub-queries based on the given context. Additionally, the unified data models provide a single source of truth, ensuring that everyone in the organization bases their decisions on the same data, which promotes reliability and consistency throughout the company. Ultimately, this holistic approach not only fosters collaboration but also lays a strong foundation for improved strategic planning and decision-making. As businesses increasingly prioritize data-driven strategies, Bipp’s platform stands out as an essential tool for the modern analyst.