Best 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...
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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,…
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.
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…
Solid is a specification that lets people store their data securely in decentralized data stores called Pods. Pods are like secure personal web servers for data. A Solid Server is open software that provides a Solid Pod and identity. This Pod acts as a personal storage space so…
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.
Vendia, is a real-time data cloud company. Its platform securely share data and data apps across companies and clouds – in real-time. Also provides full-time governance, bridges across every cloud and has zero IT overhead.
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,…
CorralData is a data platform for non-technical teams from the company of the same name in New York, designed to make it easy to connect, collaborate, and share data.
Fabi.ai is an AI-powered, collaborative data analysis platform. It helps data practitioners from data scientist to product managers, uncover insights and distributed those insights across their teams.
Using a combination of SQL, Python, AI and no-code, data practitioners can conduct exploratory data analysis, build interactive reports and…
Zerve simplifies the complexities of tracking, managing, collaborating on, and deploying Data Science and AI/ML projects. The Zerve development platform, built specifically for code-first data teams, enhances transparency and reduces the time from prototype to production.
The Cinchy Data Collaboration Platform liberates data from applications and allows for the management and control data as products, eliminating the need for future data integration. This is to support a more agile data ecosystem that makes change simple, rapidly accelerates business…
A metadata management solution that includes data discovery, governance, data quality, observability, and people collaboration, available free and open source under an Apache 2.0 license. It provides a central store to integrate metadata from different sources in the data ecosystem,…
Gigasheet is a big data spreadsheet that combines the ease of use of a spreadsheet, the power of a database, and the scale of the cloud, enabling anyone who can use a spreadsheet to analyze big data, without writing code.
Instantly analyze big data sets. No database needed.
- Upload any huge data file, or import from popular cloud apps such as Google Drive, OneDrive, DropBox, and Box.…
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.
Directus is an Open Data Platform for managing the content of any SQL database. It provides an API layer (REST & GraphQL) for developers and a no-code App for non-technical users. Written entirely in JavaScript, Directus is open-…
CKAN is an open-source data management system for powering data hubs and data portals. CKAN can be used to publish, share and use, and currently powers hundreds of data portals worldwide. CKAN is a solution for open data platforms and is used as the official national portals of the…
Comet.ml is an MLOps software that allows engineers and data scientists to automatically track their datasets, code changes, experimentation history, and production models to drive efficiency, transparency, and reproducibility. Comet allows data scientists to maintain their preferred…
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…
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…
One Data is a software company based out of Germany that enables data experts to build data products that business users need. They offer a data integration tool called One Data Cartography, which helps businesses implement data mesh principles to accelerate value creation and improve their data management. The data mesh is an…
DQO.ai is a DataOps data observability tool with customizable data quality checks and data quality dashboards. According to the vendor, data observability is a way to define data quality rules to monitor ingestion tables. DQO users can detect schema changes, data format changes, missing…
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…
DataHub's extensible metadata platform enables data discovery, data observability and federated governance, built for developers to help tame the complexity of data ecosystems. Also presented as a modern data catalog, the solution is built to enable end-to-end data discovery, data…
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.