Data Collaboration Tools

Data Collaboration Tools Overview

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.

Top Rated Data Collaboration Products

TrustRadius Top Rated for 2022

These products won a Top Rated award for having excellent customer satisfaction ratings. The list is based purely on reviews; there is no paid placement, and analyst opinions do not influence the rankings. Read more about the Top Rated criteria.

Data Collaboration Products

(1-25 of 29) Sorted by Most Reviews

The list of products below is based purely on reviews (sorted from most to least). There is no paid placement and analyst opinions do not influence their rankings. Here is our Promise to Buyers to ensure information on our site is reliable, useful, and worthy of your trust.

Alteryx
Customer Verified
Top Rated

Alteryx aims to be the launchpad for automation breakthroughs. Be it for personal growth, achieving transformative digital outcomes, or rapid innovation, the vendor boasts users will see unparalleled results. Alteryx converges analytics, data science and process automation into one…

Informatica Data Quality

The vendor states that Informatica Data Quality empowers companies to take a holistic approach to managing data quality across the entire organization, and that with Informatica Data Quality, users are able to ensure the success of data-driven digital transformation initiatives and…

Key Features

  • Data source connectivity (6)
    94%
    9.4
  • Data profiling (6)
    92%
    9.2
  • Master data management (MDM) integration (6)
    90%
    9.0
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

Mode is an analytics platform designed to help data analysts and data scientists analyze, visualize, and share data, from Mode Analytics headquartered in San Francisco. The Studio support level provides individual analysts or up to 5 users with an SQL editor, as well as a Python…

Key Features

  • Customizable dashboards (10)
    83%
    8.3
  • Drill-down analysis (9)
    76%
    7.6
  • Formatting capabilities (10)
    75%
    7.5
Oracle Enterprise Data Management

Oracle Enterprise Data Management Cloud provides a single platform designed to flexibly manage enterprise data while maintaining data integrity and enterprise application alignment. With improved data management, you can drive agile business transformation.

D&B Connect

D&B Connect is an AI-driven Data Management Platform based on the D&B Cloud that provides businesses with customer data and market insights. With D&B connect, users can collaborate on data management tasks, visualize, monitor, and benchmark data, as well as assess overall…

Key Features

  • Data Analysis Dashboard (6)
    78%
    7.8
  • Collection of first-party data (6)
    74%
    7.4
  • Tag Management (6)
    72%
    7.2
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 Watson Knowledge Catalog

IBM Watson® 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…

LiveRamp

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…

Atlan

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…

Alation Data Catalog

Alation in Redwood City offers their collaborative Alation Data Catalog for the enterprise, a solution designed to improve analytic productivity and drive better business decisions. Alation automatically indexes data by source, and automatically gathers knowledge about data, while…

MLReef

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.

ASG Data Intelligence

ASG Data Intelligence helps enterprise organizations successfully fulfill defensive and offensive data strategies by capturing and governing information supply chains that empower stakeholders to find, understand, share and analyze trusted data. ASG capabilities for ingesting and…

Hex.tech

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.

Ataccama ONE

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

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,…

Oracle Enterprise Metadata Management (OEMM)

Oracle Enterprise Metadata Management (OEMM) is a comprehensive metadata management platform. OEMM can harvest and catalog metadata from virtually any metadata provider, including relational, Hadoop, ETL, BI, data modeling, and many more. OEMM also allows for interactive searching…

Tetra Data Platform, by TetraScience

TetraScience is an R&D Data Cloud company headquartered in Boston. The Tetra R&D Data Cloud provides life sciences companies with the flexibility, scalability, and data-centric capabilities to enable easy access to centralized, harmonized, and actionable scientific data and is actively…

Hypertrade Retail Customer Data Platform

Hypertrade is a web-based Retail Collaboration Platform built by retail experts headquartered in Bangkok, Thailand. Hypertrade helps clients reinforce fundamentals, grow capabilities, drive organizational change or develop new concepts and business models. They provide Category Management…

QEDIT

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…

Azure Data Share

Azure Data Share, part of Microsoft's Azure suite of offerings, enables users to share data in any format and any size from multiple sources with other organizations. It enables users to control what is shared, who receives the data, and the terms of use. With its interface, Data…

DataOps.live

The DataOps.live SaaS platform is a solution for Snowflake environment management, end-to-end orchestration, CI/CD, automated testing & observability, and code management, wrapped in a developer interface. The solution aims to drive faster development, parallel collaboration,…

Einblick.ai

Einblick is a visual data computing platform that provides a way for organizations to understand the past, predict the future and make the best data-driven decisions for their business. Its AutoML is focused on helping users to create explainable predictions and identify key drivers…

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.

Related Categories

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?