Data Collaboration Tools

TrustRadius Top Rated for 2024

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Alteryx aims to be the launchpad for automation breakthroughs. Be it for personal growth, achieving transformative digital outcomes, or rapid innovation, Alteryx converges analytics, data science and process automation to enable users across organizations to make business-altering…

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Alteryx aims to be the launchpad for automation breakthroughs. Be it for personal growth, achieving transformative digital outcomes, or rapid innovation, Alteryx converges analytics, data science and process automation to enable users across organizations to make business-altering…

Informatica PowerCenter

Informatica PowerCenter is a metadata driven data integration technology designed to form the foundation for data integration initiatives, including analytics and data warehousing, application migration, or consolidation and data governance.

Alation Data Catalog

Alation offers enterprise data intelligence solutions, including data search & discovery, data governance, data stewardship, analytics, and digital transformation. Alation operates in thethe data catalog market. With its Behavioral Analysis Engine, inbuilt collaboration capabilities,…

Azure Data Catalog

Microsoft's Azure Data Catalog is an enterprise-wide metadata catalog designed to make data asset discovery straightforward, a fully-managed service that lets analysts. data scientists, and developers to register, enrich, discover, understand, and consume data sources.

Mode Analytics

Mode, or Mode Analytics, from ThoughtSpot since the June 2023 acquisition, is a business intelligence platform that unifies company analytics by bringing data teams and business teams together, so analysts can provide rapid answers to strategic, ad hoc questions. And, business stakeholder…


DBeaver offers comprehensive data management tools designed to help teams explore, process, and administrate SQL, NoSQL, and cloud data sources. DBeaver is available commercially as DBeaver PRO and for free as DBeaver Community.

Oracle Enterprise Metadata Management (OEMM)

Oracle Enterprise Metadata Management (OEMM) is a metadata management platform. OEMM can harvest and catalog metadata from virtually any metadata provider, including relational, Hadoop, ETL, BI, and data modeling.


Qlerify is an AI powered and collaborative process and data modelling tool. Qlerify bridges the gap between stakeholders and enables users to turn their domain knowledge into visual process models and system specifications in a format that developers can use to create better software…

SAP Information Steward

Monitor, analyze, and improve data integrity with SAP Information Steward software. Combine data profiling and metadata management tools for continuous insight into the quality of enterprise information to optimize processes, and enhance operational, analytical, and data governance…

IBM Knowledge Catalog

IBM Knowledge Catalog is a cloud-based enterprise metadata repository allowing users to catalog knowledge and analytics assets, including machine learning models and structured and unstructured data wherever they reside, so that they can be easily accessed and used to fuel data science…


LiveRamp, from the company of the same name in San Francisco, is a data connectivity platform supporting the safe and effective use of data. Powered by core identity resolution capabilities and network, LiveRamp enables companies and their partners to connect, control, and activate…

Adaptive Metadata Manager

The Adaptive Metadata Manager product, from Adaptive in Aliso Viejo, comprises a number of configurable software components that provide an organization with eight core capabilities required to govern and improve data-driven business capability. These capabilities are: Data Lineage,…

Ataccama ONE

Ataccama is a data quality platform handling data parsing, standardization, cleansing and matching, and data profiling.


Atlan is a modern data collaboration workspace (like Github for engineering or Figma for design). By acting as a virtual hub for data assets ranging from tables and dashboards to models & code, Atlan enables teams to create a single source of truth for all their data assets, and…


MLReef is a Machine Learning development platform that aims to democratize ML innovation across the entire organization. Distributed ML Development: - up to 5X in ML development throughput - up to 85% less dependency on internal data science capacity - Distributed workload on complex…

Alex Solutions

Alex Solutions headquartered in Melbourne offers their enterprise data catalog, a marketplace for enterprise data that enables data-centric business outcomes.


Hex (Hex Technologies, headquartered in San Francisco) helps people use data by building a collaborative, shareable analytics workspace. The Hex solution helps users empower users to ask new questions and share their findings in one product without any friction.

Inrupt Enterprise Solid Server

A production-grade Solid server produced and supported by Inrupt. Solid is a technology for organizing data, applications, and identities on the web. But, according to Inrupt, Solid enables richer choices for people, organizations and app developers by building on existing web standards.…

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Stemma is a fully managed data catalog with automated metadata, personalized experience, and enterprise management - powered by the open-source data catalog, Amundsen. Stemma's purpose is to make data-based decisions with absolute confidence, with a mission to make data within…

Platform Sigma by InfoSum

InfoSum's Platform Sigma offers the organizations the ability to run any analysis across unlimited internal and external datasets, no matter location, size, or format. The technology supports data collaboration, enabling organizations to plan, measure, and activate while fully protecting…

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Bitfount is a distributed data science platform enabling data custodians and data scientists to collaborate on federated, privacy-preserving data analysis and AI/ML such that the world's intractable data can become safely interactable. Bitfount leverages a zero-trust messaging…

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Leveraging Privacy-Enhancing Technology, QEDIT, from the company of the same name in Tel Aviv, is an enterprise-ready, secure data collaboration platform that enables companies to share intelligence and monetize data insights derived from external sources, without revealing confidential…

OpenText Lens
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OpenText Lens (replacing the former OpenText Alloy) is a cloud application that offers visibility into the data flows between enterprise applications and connected systems, customers, suppliers and trading partners. Lens gives organizations insights needed to monitor business process…

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Lifebit aims to democratize access to omics data and enable researchers, whether novice or advanced, to run complex analyses and generate meaningful insights faster. Lifebit CloudOS is the company's federated genomics platform for unified and secure research over distributed big…

Learn More About Data Collaboration Tools

What are Data Collaboration Tools?

Data Collaboration Tools offer a centralized hub for data aggregation, from which co-workers can share and extract quantitative and qualitative data sets and insights to help meet business goals. Having access to reliable data facilitates accurate reporting and forecasting, making it easier for businesses to know where they are and where they need to be to reach their objectives.

Data should be compiled in an easily accessible way and presented in a ready-to-use format. Due to the importance of cybersecurity when dealing with large amounts of information, data governance is an essential part of any Data Collaboration Tool. Employees should be briefed and trained on basic security measures to avoid data breaches. Companies should also identify the tools that work best with third-party software integrations like cloud storage, ERP and CRM to complement data needs, workflows, and best practices.

Data Collaboration Tools Features:

Data Collaboration Tools may include the following features:

  • Data and metadata sourcing
  • Database integrations with software across several industries
  • Bulk uploads
  • Integrations with multiple data sources
  • Cloud storage solution integration
  • Cloud migration
  • Compliance
  • Data governance
  • Data cataloging
  • Reporting analytics
  • High-speed data flows
  • Data visibility and accessibility
  • Data access requests
  • Automated categorization
  • Automated data lineage
  • Machine Learning

Data Collaboration Tools Comparison

When choosing the right Data Collaboration Tools, buyers should consider the following key factors:

  • Usability: How accessible and easy to visualize is the data? Is the dashboard user-friendly? How much training is needed to learn how to operate the software, take advantage of the various features, while keeping the data safe?
  • Features: Data Collaboration Tools should include data and metadata sourcing, data governance, cloud migration and storage, bulk uploads, automated cataloging, and data lineage. Analytics reporting and forecasting tools are also common. Some products may have advanced machine learning algorithms that predict business outcomes based on data trends. Interested buyers should check to see if the product they are considering is highly rated for data governance. Which features are already in place in your workspace and which would add value? Would these tools improve workflows and make it easier to see how data is being managed?
  • Integration Capacity: Does the software have integrations with multiple data sources like cloud storage, APIs, marketplaces, ERP and CRM systems, metadata collectors, or ETL and BI tools? How secure are data transfers, and what are the projected upload times?

Pricing Information

Most Data Collaboration Tools providers require that you contact them for customized package quotes. Prices will vary based on your data storage needs, the number of users, IPU software capacity, number of instances, or even the number of cores available for use by the licensed software.

Many vendors offer demos, while others may have free trials or a free version with fewer features. Premium versions can cost as little as $1 per user a month, or as high as $150,000 per year for up to 10 users.

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Frequently Asked Questions

What do Data Collaboration Tools do?

Data Collaboration Tools facilitate the sharing and use of information among employees within an organization. They do this by providing access to a high volume of data from which important insights and information can be gleaned. They typically integrate with other software used in the workspace. They can also improve cybersecurity and compliance through data governance.

What are the benefits of using Data Collaboration Tools?

Benefits of using Data Collaboration tools include optimized forecasting and predictive modeling, accurate reporting on business objectives, and workflow improvements as co-workers find it easier to access and share data. Integrations with APIs, marketplaces, as well as native integrations like ERP and CRM systems can also lower upload times and increase the accuracy and relevance of data sets.

How much do Data Collaboration Tools cost?

Most products have a customized price on a case-by-case basis. For small businesses, it may be best to find products that offer a free version of the software, or paid plans that charge as little as $1 per month up to 100 thousand catalog objects, or $300 per instance. Enterprise plans can cost as much as $150 thousand per year or more depending on factors like data usage, IPUs, number of users, cores, or instances.

What are the best Data Collaboration Tool products?