Best Free Data Collaboration Platforms of 2025

Gigasheet is the big data spreadsheet that requires no set up, training, database or coding skills. No SQL or Python code, no IT infrastructure required to explore big data. Big data answers are available to anyone, even if they're not data scientists. Best of all, your first 3GB are free! Gigasheet is used by thousands of people and teams to gain insights in minutes, rather than hours or days. Anyone who can use a spreadsheet can access Gigasheet's big data and analysis capabilities. Sharing and collaboration tools make distributing huge data sets a snap. Gigasheet integrates with more than 135 SaaS platforms and databases.

With your own data shop, create new revenue streams from the data you already have. Narrative focuses on the fundamental principles that make buying or selling data simpler, safer, and more strategic. You must ensure that the data you have access to meets your standards. It is important to know who and how the data was collected. Access new supply and demand easily for a more agile, accessible data strategy. You can control your entire data strategy with full end-to-end access to all inputs and outputs. Our platform automates the most labor-intensive and time-consuming aspects of data acquisition so that you can access new data sources in days instead of months. You'll only ever have to pay for what you need with filters, budget controls and automatic deduplication.

Your online collaborative tool to automate data collection. RowShare is the new way to collaborate on spreadsheet data. Collect and centralize data. Real-time analysis and reports can be run in an easy, automated and secure way. Automate all data processing: collecting, centralizing, analyzing, sharing. All the repetitive and low-value tasks such as manual reminders, endless VLOOKUP( (), copy paste, replace or merge, etc. can be eliminated. Collaboration is possible without compromising confidentiality. Line by line, decide who can see what. You can either create your own spreadsheets, or you can use our pre-made templates. In just a few clicks, you can customize and adapt spredsheets to meet your specific needs. You can create seamless workflows yourself or with the assistance of our experts. You can monitor the progress of your data collection in real-time. Automatically generate the most current documents. Get accurate reports to make better and faster decisions.

Einblick offers a swift and highly collaborative platform for data exploration, prediction generation, and application deployment. Our innovative canvases transform the data science process by simplifying the exploration, cleaning, and manipulation of data through a user-friendly interface. Unlike other platforms, we enable real-time collaboration among your entire team, emphasizing that collective decision-making is essential. Stop spending time on manual model adjustments; our AutoML feature is designed to facilitate the creation of transparent predictions and pinpoint crucial influencing factors effortlessly. Einblick also streamlines common analytics tasks into user-friendly operators, allowing you to minimize repetitive work and reach conclusions more quickly. Whether your data resides in Snowflake, S3 buckets, or CSV files, you can connect your data source and start drawing insights in no time. For instance, by analyzing a list of churned and active customers, you can integrate all relevant information about them, revealing the primary reasons for churn and assessing the risk level for each customer effectively. Moreover, our platform empowers teams to make data-driven decisions with confidence, ensuring that insights are accessible and actionable for everyone involved.

Effortlessly create and manage ETL pipelines using Boltic, allowing you to extract, transform, and load data from various sources to any target without needing to write any code. With advanced transformation capabilities, you can build comprehensive data pipelines that prepare your data for analytics. By integrating with over 100 pre-existing integrations, you can seamlessly combine different data sources in just a few clicks within a cloud environment. Boltic also offers a No-code transformation feature alongside a Script Engine for those who prefer to develop custom scripts for data exploration and cleaning. Collaborate with your team to tackle organization-wide challenges more efficiently on a secure cloud platform dedicated to data operations. Additionally, you can automate the scheduling of ETL pipelines to run at set intervals, simplifying the processes of importing, cleaning, transforming, storing, and sharing data. Utilize AI and ML to monitor and analyze crucial business metrics, enabling you to gain valuable insights while staying alert to any potential issues or opportunities that may arise. This comprehensive solution not only enhances data management but also fosters collaboration and informed decision-making across your organization.

Morph's AI streamlines the process of data collection, organization, and analysis, allowing you to communicate your needs in straightforward language. Forget the hassle of file exchanges; collaborate seamlessly in real-time within your dataset. With robust API capabilities, you can tap into Morph's features without any limitations. Despite its approachable interface, it operates on a powerful Postgres infrastructure. It's as user-friendly as a spreadsheet but engineered to manage vast amounts of data efficiently. You can easily control access for different users and teams with just one click. No matter what format your data comes in, you can upload it while ensuring everything is properly organized. We hold the belief that data should be accessible and comprehensible to everyone, presented through a user-friendly interface. This solution empowers not just engineers but also professionals in marketing, sales, customer support, and management to utilize data effectively. After seven years of developing software for various businesses, we have tackled projects involving intricate data, including those related to machine learning and blockchain technology. Our extensive experience positions us to meet the diverse needs of today’s data-driven organizations.

Transform your approach to business intelligence with AI-driven solutions that eliminate the complexities of data modeling. Quickly generate sales dashboards, gain valuable insights, and collaborate in real-time without the usual delays. With Zebra AI, you can create those dashboards in under 15 seconds, making it an ideal tool for anyone from business analysts to CEOs; simply upload your data and let our AI handle the rest to deliver your dashboard immediately. We prioritize the security of your business data, ensuring it remains private and separate from broader machine learning initiatives. Forget about traditional chart makers; Zebra AI acts as your reliable consultant, enabling you to identify trends, access information effortlessly, and create impactful presentations. You can easily share your dashboards and AI conversations, allowing your entire team to operate from the same reliable data source—all achievable with just a few clicks. This innovative platform goes beyond being a mere chatbot; it equips seasoned data analysts with the tools they need to tackle even the most intricate questions and analyses effectively, enhancing productivity across the board. Ultimately, Zebra AI is designed not just to simplify your workflow but to empower every team member to leverage data for informed decision-making.

Effortlessly branch, review, and merge your data while enjoying the benefits of complete historical tracking and recoverability. Maintain synchronization between your code and data to ensure consistent development and reliable reproducibility. Centralize the automation of reports, access audits, and metadata management for ease of use across your team. XetHub is perfectly suited for groups already utilizing Git for code management who wish to harness the advantages of infinite history, pull requests, and difference-based tracking for larger assets like datasets or media files. By employing familiar Git workflows, managing entire projects becomes straightforward, simplifying change tracking and facilitating continuous integration, particularly for processes that generate or enhance assets through code. This approach not only improves collaboration but also enhances overall project efficiency.

MLReef allows domain specialists and data scientists to collaborate securely through a blend of coding and no-coding methods. This results in a remarkable 75% boost in productivity, as teams can distribute workloads more effectively. Consequently, organizations are able to expedite the completion of numerous machine learning projects. By facilitating collaboration on a unified platform, MLReef eliminates all unnecessary back-and-forth communication. The system operates on your premises, ensuring complete reproducibility and continuity of work, allowing for easy rebuilding whenever needed. It also integrates with established git repositories, enabling the creation of AI modules that are not only explorative but also versioned and interoperable. The AI modules developed by your team can be transformed into user-friendly drag-and-drop components that are customizable and easily managed within your organization. Moreover, handling data often necessitates specialized expertise that a single data scientist might not possess, making MLReef an invaluable asset by empowering field experts to take on data processing tasks, which simplifies complexities and enhances overall workflow efficiency. This collaborative environment ensures that all team members can contribute to the process effectively, further amplifying the benefits of shared knowledge and skill sets.

Gain insights into user interactions with your product and pinpoint areas of opportunity to guide your product strategy. Mode enables a single Stitch analyst to accomplish what typically requires an entire data team by offering rapid, adaptable, and collaborative tools. Create dashboards that track annual revenue and utilize chart visualizations to quickly spot anomalies. Develop well-crafted reports suitable for investors or facilitate collaboration by sharing your analyses with different teams. Integrate your complete technology ecosystem with Mode to uncover upstream problems and enhance overall performance. Accelerate cross-team workflows using APIs and webhooks. By analyzing user engagement, you can discover opportunity areas that help refine your product decisions. Additionally, utilize insights from marketing and product data to address vulnerabilities in your sales funnel, optimize landing-page efficiency, and anticipate churn before it occurs, ensuring proactive measures are in place.

The Databricks Data Intelligence Platform empowers every member of your organization to leverage data and artificial intelligence effectively. Constructed on a lakehouse architecture, it establishes a cohesive and transparent foundation for all aspects of data management and governance, enhanced by a Data Intelligence Engine that recognizes the distinct characteristics of your data. Companies that excel across various sectors will be those that harness the power of data and AI. Covering everything from ETL processes to data warehousing and generative AI, Databricks facilitates the streamlining and acceleration of your data and AI objectives. By merging generative AI with the integrative advantages of a lakehouse, Databricks fuels a Data Intelligence Engine that comprehends the specific semantics of your data. This functionality enables the platform to optimize performance automatically and manage infrastructure in a manner tailored to your organization's needs. Additionally, the Data Intelligence Engine is designed to grasp the unique language of your enterprise, making the search and exploration of new data as straightforward as posing a question to a colleague, thus fostering collaboration and efficiency. Ultimately, this innovative approach transforms the way organizations interact with their data, driving better decision-making and insights.

The Datastreams Platform represents a cutting-edge solution aimed at streamlining the processes involved in capturing, sharing, and managing data both within organizations and across different entities. From the very first phase of gathering appropriate data to achieving a reliable, personalized view of that data, our Platform guides users throughout the entire experience. Thanks to its advanced streaming technology, optimized performance, and patented data capturing features, the process is not only efficient but also straightforward; coupled with our commitment to privacy by design, data collaboration has become accessible to all users! At its core, the Platform consists of the Data Operations Unit (known as Datastreams Operator), which can be customized with various modules to cater to specific needs, such as implementing data quality checks on web or mobile platforms, or compliant segmentation of target groups. With a focus on enhancing both IT and business flexibility, users can initiate data collaboration in just a matter of days by easily connecting to various data sources, thus ensuring a rapid and effective start to their data-driven initiatives.

Create rich, interactive dashboards to accelerate your analytical insights throughout your enterprise. Cloudera Data Visualization allows data engineers, data scientists, and business analysts to explore data, collaborate and share insights throughout the data lifecycle - from data ingest through to data insights. Data Visualization, a native Cloudera product, provides a consistent data visualization experience that is easy to use. It includes drag-and drop dashboards and custom applications. SDX provides full security for Data Visualization, enabling enhanced data workflows in all your data and analytics workflows. Cloudera Machine Learning can be used to build predictive applications, or you can leverage your data warehouse for fast intelligent reporting.

ZinkML is an open-source data science platform that does not require any coding. It was designed to help organizations leverage data more effectively. Its visual and intuitive interface eliminates the need for extensive programming expertise, making data sciences accessible to a wider range of users. ZinkML streamlines data science from data ingestion, model building, deployment and monitoring. Users can drag and drop components to create complex pipelines, explore the data visually, or build predictive models, all without writing a line of code. The platform offers automated model selection, feature engineering and hyperparameter optimization, which accelerates the model development process. ZinkML also offers robust collaboration features that allow teams to work seamlessly together on data science projects. By democratizing the data science, we empower businesses to get maximum value out of their data and make better decisions.