Best Free Data Collaboration Platforms

Power BI is a business intelligence platform that enables users to analyze data using AI-driven tools and intuitive report creation. It consolidates data from various sources into OneLake, creating a centralized data source. This platform aids in embedding actionable insights into applications like Microsoft 365, aiding decision-making. Power BI integrates with Microsoft Fabric, enhancing data management. It offers scalability to handle large data volumes and integrates seamlessly with Microsoft services. Its AI capabilities efficiently identify patterns and generate insights. Power BI ensures data security and compliance. Its Copilot feature allows rapid report generation. Additionally, Power BI Pro offers self-service analytics, and its free version includes data modeling and visualization tools. It's known for unified data management, empowering users with accessibility and training resources. Power BI has demonstrated a significant ROI and economic benefit, as evidenced in a Forres

Create new streams of revenue using the data you already collect with your own branded data shop. Narrative is focused on the fundamental principles that make buying and selling data easier, safer, and more strategic. Ensure that the data you access meets your standards, whatever they may be. Know exactly who you’re working with and how the data was collected. Easily access new supply and demand for a more agile and accessible data strategy. Own your data strategy entirely with end-to-end control of inputs and outputs. Our platform simplifies and automates the most time- and labor-intensive aspects of data acquisition, so you can access new data sources in days, not months. With filters, budget controls, and automatic deduplication, you’ll only ever pay for the data you need, and nothing that you don’t.

The Only Table That Unifies Your Distributed Operations Data RowShare is a collaborative tool that simplifies and automates data collection and analysis. Make better decisions based on reliable data and real-time insights. Collaborate within your team or with your external stakeholders. • Collect and Share Structured Data Invite users inside or outside your company to read or enter data according to your desired data structure. • Analyze and Visualize Data Turn your data into up-to-date dynamic charts and automatic pivot tables. • Receive and Send Notifications Remind users who have not yet entered their data and be notified when they do. • Control Data Access Take advantage of automated fine-grained permissions to ensure that every user accesses only the relevant data rows and columns. • Ready and Easy to Use • Automatically Generate Documents Generate documents based on a custom document template and the information gathered in your tables.

Einblick is the fastest and most collaborative way to explore data, create predictions, and deploy data apps. Our canvases radically change data science workflows by making it so much easier to explore, clean, and manipulate data on a novel interface. We are the only platform that let you collaborate in real-time with your whole team. Decision-making is a group activity, so let’s get everyone involved. Don’t waste time hand-tuning models. Our AutoML is focused on helping you create explainable predictions and identify key drivers without fuss. Einblick packages common analytics functionality into easy-to-use operators that let you abstract repetitive tasks and get to answers faster. From Snowflake to S3 buckets to CSV files, connect your data source and start getting to answers within minutes. Take a list of churned and current customers and join in everything you know about them. Uncover the key factors that led to churn, and identify how at-risk every customer is.

Build and orchestrate ETL pipelines with ease on Boltic. Extract, transform, and load data from multiple sources to any destination without writing code. Use advanced transformations and build end-to-end data pipelines for analytics-ready data. Integrate data from a list of 100+ pre-built Integrations and join multiple data sources together with a few clicks to work on the cloud. Add Boltic’s No-code transformation or use Script Engine to design custom scripts on integrated data for data exploration and cleansing. Invite team members to come together and solve organisation-wide problems faster by working on a secure cloud data operations platform. Schedule ETL pipelines to run automatically at pre-defined time intervals to make importing, cleaning, transforming, storing, and sharing data easier. Track and analyze key metrics of business with the help of AI & ML. Gain insights into business and monitor for potential issues or opportunities.

Morph's AI helps you to collect, sort, and analyze your data. Just tell it what you need in plain language. No more sending files back and forth, work together in your dataset in real-time. Robust API support lets you access Morph's features unfiltered. Don't let the friendly face fool you; it's running Postgres under the hood. As easy to use as a spreadsheet, but designed to handle millions of records. Manage access between different users and teams with a single click. Regardless of the format your data is in, upload it with everything in the right place. We believe that data should be easy for everyone to collect, store, and understand, in one simple interface. Makes easy and powerful use of data available to not just engineers but also marketing, sales, customer support, and management. We have been building business software and end-user software for various companies for seven years. This included projects that dealt with complex data, such as machine learning and blockchain.

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

Confidently branch, review, and merge data as you experiment with complete history and recoverability. Track your code and data together for always-in-sync development and guaranteed reproducibility. Automate reports, audit access, and manage metadata in a centralized location for everyone. XetHub is ideal for teams who already use Git to track their code changes, and want to leverage the power of infinite history, pull requests, and difference-based tracking for larger assets such as datasets or media files. Managing complete projects with familiar Git semantics makes change tracking and continuous integration a breeze, especially for workflows that use code to generate or augment assets.

MLReef enables domain experts and data scientists to securely collaborate via a hybrid of pro-code & no-code development approaches. 75% increase in productivity due to distributed workloads. This enables teams to complete more ML projects faster. Domain experts and data scientists collaborate on the same platform reducing 100% of unnecessary communication ping-pong. MLReef works on your premises and uniquely enables 100% reproducibility and continuity. Rebuild all work at any time. You can use already well-known and established git repositories to create explorable, interoperable, and versioned AI modules. AI Modules created by your data scientists become drag-and-drop elements. These are adjustable by parameters, versioned, interoperable, and explorable within your entire organization. Data handling often requires expert knowledge that a single data scientist often lacks. MLReef enables your field experts to relieve your data processing task, reducing complexities.

Understand how users are interacting with your product and identify opportunity areas to inform your product decisions. Mode empowers one Stitch analyst to do the work of a full data team through speed, flexibility, and collaboration. Build dashboards for annual revenue, then use chart visualizations to identify anomalies quickly. Create polished, investor-ready reports or share analysis with teams for collaboration. Connect your entire tech stack to Mode and identify upstream issues to improve performance. Speed up workflows across teams with APIs and webhooks. Understand how users are interacting with your product and identify opportunity areas to inform your product decisions. Leverage marketing and product data to fix weak spots in your funnel, improve landing-page performance, and understand churn before it happens.

The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker.

The Datastreams Platform is our state-of-the-art solution to simplify the process of capturing, sharing and managing data within and between organizations. From the initial step of collecting the right data towards getting a trusted personalized data view, our Platform facilitates the journey. Fast through optimized streaming technology, simple due to its patented data capturing capabilities and secured per our privacy by design principles, data collaboration is now available for everyone! The Platform is built upon a core Data Operations Unit (Datastreams Operator) that can be extended with different modules to fulfill specific data and business requirements like data quality checks on your web/mobile platforms or defining and segmenting specific target groups in a compliant way. Designed with IT & business agility in mind, it takes just a couple of days to start data collaborating with connections to data sources.

Easily create rich, interactive dashboards that accelerate analytical insights across your enterprise. Cloudera Data Visualization enables data engineers, business analysts, and data scientists to quickly and easily explore data, collaborate, and share insights across the data lifecycle—from data ingest to data insights and beyond. Delivered natively as part of Cloudera, Data Visualization delivers a consistent and easy-to-use data visualization experience with intuitive and accessible drag-and-drop dashboards and custom application creation. Data Visualization is fully secured by SDX, enabling augmented data workflows across all your data and analytic workflows. Build predictive applications from ML models served in Cloudera Machine Learning, or leverage your data warehouse to power fast intelligent reporting without moving data or using third-party tools.

ZinkML is a zero-code data science platform designed to address the challenges faced by organizations in leveraging data effectively. By providing a visual and intuitive interface, it eliminates the need for extensive coding expertise, making data science accessible to a broader range of users. ZinkML streamlines the entire data science lifecycle, from data ingestion and preparation to model building, deployment, and monitoring. Users can drag-and-drop components to create complex data pipelines, explore data visually, and build predictive models without writing a single line of code. The platform also offers automated feature engineering, model selection, and hyperparameter tuning, accelerating the model development process. Moreover, ZinkML provides robust collaboration features, enabling teams to work together seamlessly on data science projects. By democratizing data science, we empower companies to extract maximum value from their data and drive better decision-making.