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Best Data Collaboration Platforms

Compare the Top Data Collaboration Platforms as of October 2025

What are Data Collaboration Platforms?

Data collaboration platforms are software tools that allow for the sharing and manipulation of data between multiple users. These platforms often provide features such as version control, security and team management, allowing for a more efficient workflow. Generally, these platforms can be deployed both internally within an organization or through a cloud-based service accessible across the internet. Compare and read user reviews of the best Data Collaboration platforms currently available using the table below. This list is updated regularly.

  • 1
    Looker

    Looker

    Google

    Looker, Google Cloud’s business intelligence platform, enables you to chat with your data. Organizations turn to Looker for self-service and governed BI, to build custom applications with trusted metrics, or to bring Looker modeling to their existing environment. The result is improved data engineering efficiency and true business transformation. Looker is reinventing business intelligence for the modern company. Looker works the way the web does: browser-based, its unique modeling language lets any employee leverage the work of your best data analysts. Operating 100% in-database, Looker capitalizes on the newest, fastest analytic databases—to get real results, in real time.
  • 2
    Gigasheet

    Gigasheet

    Gigasheet

    Gigasheet is the big data spreadsheet that requires no set up, training, database or coding skills. If you can use a spreadsheet, you can find opportunities in big data. Best of all, your first 3GB are free! Use Gigasheet to filter, sort, group and aggregate data to gain insights. Create pivot tables by simply dragging columns around. Data cleanup tools and functions clean and insert data during analysis. Enrichments such as Email Validation and Geo IP Location look up make your data even more useful. Sharing and collaboration tools make distributing huge data sets a snap. Gigasheet integrates with more than 135 SaaS platforms and databases. Thousands of individuals and teams use Gigasheet to gain insights in minutes, not hours or days. You don't need to be a data scientist to get answers from big data.
    Starting Price: $95 per month
  • 3
    Narrative

    Narrative

    Narrative

    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.
    Starting Price: $0
  • 4
    Tabula

    Tabula

    Retable, Inc.

    Easy-to-use visual data analytics tool for you and your team. Tabula is a unified, zero-code platform that transforms complex data tasks into simple, intuitive processes. Empowering business and data teams, it allows real-time exploration, analysis, and reporting of data, without any need for developer resources.
    Starting Price: $20
  • 5
    Coginiti

    Coginiti

    Coginiti

    Coginiti, the AI-enabled enterprise data workspace, empowers everyone to get consistent answers fast to any business question. Accelerating the analytic development lifecycle from development to certification, Coginiti makes it easy for you to search and find approved metrics for your use case. Coginiti integrates all the functionality you need to build, approve, version, and curate analytics across all business domains for reuse, all while adhering to your data governance policy and standards. Data and analytic teams in the insurance, financial services, healthcare, and retail/consumer package goods industries trust Coginiti’s collaborative data workspace to deliver value to their customers.
    Starting Price: $189/user/year
  • 6
    Azure Data Share
    Share data, in any format and any size, from multiple sources with other organizations. Easily control what you share, who receives your data, and the terms of use. Data Share provides full visibility into your data-sharing relationships with a user-friendly interface. Share data in just a few clicks, or build your own application using the REST API. Serverless code-free data-sharing service that requires no infrastructure setup or management. Intuitive interface to govern all your data-sharing relationships. Automated data-sharing processes for productivity and predictability. Secure data-sharing service that uses underlying Azure security measures. Share structured and unstructured data from multiple Azure data stores with other organizations in just a few clicks. There’s no infrastructure to set up or manage, no SAS keys are required, and sharing is all code-free. You control data access and set terms of use aligned with your enterprise policies.
    Starting Price: $0.05 per dataset-snapshot
  • 7
    Einblick

    Einblick

    Einblick

    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.
    Starting Price: $9 per month
  • 8
    Morph

    Morph

    Morph

    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.
    Starting Price: $8 per month
  • 9
    DataOps.live

    DataOps.live

    DataOps.live

    DataOps.live, the Data Products company, delivers productivity and governance breakthroughs for data developers and teams through environment automation, pipeline orchestration, continuous testing and unified observability. We bring agile DevOps automation and a powerful unified cloud Developer Experience (DX) ​to modern cloud data platforms like Snowflake.​ DataOps.live, a global cloud-native company, is used by Global 2000 enterprises including Roche Diagnostics and OneWeb to deliver 1000s of Data Product releases per month with the speed and governance the business demands.
  • 10
    Helios Data

    Helios Data

    Helios Data

    Helios Data’s unique algorithmic process governance approach, secure enclave technology secured by digital contracts governed and surveilled by algorithmic “fingerprints”, ensures data can be analyzed and processed safely and productively. Companies with personal or sensitive data assets, and their analytical partners, can restart and grow their data-driven analytical and monetization activities securely and economically. Eliminate data sharing and usage risk. Minimize data sharing and monetization costs. Maximize the value of enterprise personal and other sensitive data assets. Reenergize business models and revenue opportunities muted by data protection and privacy concerns. Digital contract governance technology adds precision and real-time enforcement to otherwise passive legal contracts or data processing agreements. “Confidential compute” secure enclave technology guarantees data-in-use protection: no data can ever be leaked, lost, exposed, misused, or misdirected.
  • 11
    AppsFlyer

    AppsFlyer

    AppsFlyer

    AppsFlyer helps brands make good choices for their business and their customers through innovative, privacy-preserving measurement, analytics, fraud protection, and engagement technologies. Built on the idea that brands can increase customer privacy while providing exceptional experiences, AppsFlyer empowers thousands of creators and 10,000+ technology partners to create better, more meaningful customer relationships.
  • 12
    Alex Solutions

    Alex Solutions

    Alex Solutions

    The Alex Platform is your enterprise’s single source of data and business truth. Alex is a foundational pillar of our customer’s data-driven success. From day one of implementation, Alex is designed to start reducing complexity and creating value immediately. Alex Augmented Data Catalog is powered by the industry’s best machine learning, rapidly providing a unified, enterprise-wide data platform. No matter how complex your technical landscape may be, Alex Data Lineage helps you map and understand your data flows in an automated and secure way. Worldwide teams need worldwide coordination. Alex Intelligent Business Glossary’s beautiful UI and rich functionality is perfect for conducting global collaboration. Combat complexity of the multi-cloud and global enterprise by unifying all definitions, policies, metrics, rules, processes, workflows and more. Power global data governance programs.
  • 13
    Hypertrade

    Hypertrade

    Hypertrade

    Hypertrade is a web-based Retail Collaboration Platform built by retail experts. We help our clients reinforce fundamentals, grow capabilities, drive organizational change or develop new concepts and business models. We provide Category Management and Customer Behavior Insights through data collaboration and optimizing range, assortment, and promotions.
  • 14
    Oracle Enterprise Data Management
    Adapt and respond to change faster and more effectively by managing your master data, whether migrating an application to the cloud; managing the effects of mergers and acquisitions; or reconciling metadata differences across business functions and applications. Import lists or hierarchies from contributing applications. Save time without having to validate data on entry, even with dirty data. Improve the quality of data within an application or business domain by validating separate perspectives, called viewpoints. Migrate and map enterprise data elements and ongoing changes across public, private, and hybrid cloud environments from Oracle or third parties. Create new or change existing enterprise data, relationships, and attributes with requests in an easy-to-understand shopping cart interface.
  • 15
    Karlsgate

    Karlsgate

    Karlsgate

    Get consumer insights without sharing or exposing Personal Data. Karlsgate Identity Exchange (KIE™) matches data anonymously on-the-fly using patent-pending Cryptoidentity technology. Market data while achieving consumer privacy compliance that goes beyond current regulations. KIE gives data providers maximum control and data transparency. Reduce data acquisition from months to minutes. KIE streamlines evaluation, contracting and data management tasks to get you up and running quickly. Simplify data processing with sophisticated input file-matching logic. KIE delivers high-confidence file matching using deterministic cascading match algorithms. With Karlsgate, companies can build strategic data collaboration partnerships without sharing the PII of their customers. In addition, the data appending process is immediate and ensures both recency and accuracy of attributes, so you never have to worry that your enhanced data set is out-of-date.
  • 16
    OpenText Lens
    OpenText™ Lens™ is a powerful, user-friendly cloud application that offers visibility into the data flows between enterprise applications and connected systems, customers, suppliers, and trading partners. With Lens, organizations gain insights needed to monitor business process health against KPIs, quickly respond to key business events and improve overall productivity. Make insights into integrated data flows easily accessible for business users to extend visibility beyond the IT team. Get a best-in-class user experience, personalized through notifications, alerts, reporting, and collaboration. See everything in one place with a single view into all data flows processed on the OpenText™ Trading Grid™ platform. Leverage full visibility across different types of integration flows for detailed insights into business processes in near real-time. Use data-driven insights to agilely manage and respond to unforeseen issues and mitigate risks before they impact business.
  • 17
    Roseman Labs

    Roseman Labs

    Roseman Labs

    Roseman Labs enables you to encrypt, link, and analyze multiple data sets while safeguarding the privacy and commercial sensitivity of the actual data. This allows you to combine data sets from several parties, analyze them, and get the insights you need to optimize your processes. Tap into the unused potential of your data. With Roseman Labs, you have the power of cryptography at your fingertips through the simplicity of Python. Encrypting sensitive data allows you to analyze it while safeguarding privacy, protecting commercial sensitivity, and adhering to GDPR regulations. Generate insights from personal or commercially sensitive information, with enhanced GDPR compliance. Ensure data privacy with state-of-the-art encryption. Roseman Labs allows you to link data sets from several parties. By analyzing the combined data, you'll be able to discover which records appear in several data sets, allowing for new patterns to emerge.
  • 18
    LiveRamp Safe Haven
    LiveRamp’s platform provides privacy-conscious and configurable collaboration across your organization and external partners to build audiences, activate data, and access actionable insights. Cookies are disappearing, and you need a new marketing foundation to build upon for the next decade. Safe Haven preserves your audience data investment and creates powerful collaborative opportunities to safely and securely grow a more accurate, dynamic view of your customers. Safe Haven maximizes the value of your marketing data. With 600+ turnkey integrations, you can connect with the best services to deepen your audience understanding, access new measurement reports, or begin a collaborative partnership to develop new predictive models or micro-segments. Stop justifying marketing with impressions and clicks and talk to the rest of the C-suite with a measurement that matters, incrementality, closed-loop measurement, journey analytics, revenue impact, and more.
  • 19
    Omnisient

    Omnisient

    Omnisient

    We help businesses unlock the power of 1st party data collaboration without the risks. Transform your consumer data from a liability to a revenue-generating asset. Thrive in the post-cookie world with 1st party consumer data. Collaborate with more partners to unlock more value for your customers. Grow financial inclusion and increase revenue through innovative alternative data partners. Enhance underwriting accuracy and maximize profitability with alternative data sources. Each participating party uses our desktop application to anonymize, tokenize, and protect all personally identifiable information in their consumer data set within their own local environment. The process generates US-patented crypto-IDs for each anonymized consumer profile locally to enable the matching of mutual consumers across multiple data sets in our secure and neutral Cloud environment. We’re leading the next generation of consumer data.
  • 20
    Halcyon

    Halcyon

    Kraken IM

    HALCYON is a data collaboration platform that ensures the right data is delivered at the right time. It provides all stakeholders with a hub to supply, validate and approve engineering data then creates an immutable record of that data. HALCYON automates the capture of granular engineering data and improves collaboration across the supply chain. The activities that HALCYON captures, happen now, just in many disparate forms and sources, we bring all of this together into a rich, central data environment that connects the teams and their data. HALCYON is the world’s only blockchain information management platform and creates a permanent digital golden thread of the information, decisions and queries made during projects. Simple to configure and then simple to load, share and action on information from your data supply chain. Everyone has visibility on what they need to do and by when making it simple to action and comply.
  • 21
    ZinkML

    ZinkML

    ZinkML Technologies

    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.
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