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.
Gigasheet
Alation
Narrative
Retable, Inc.
RowShare
Coginiti
Einblick
Boltic
Morph
Globi Web Solutions
Zebra BI
Fasoo
Enveil
Hex
XetHub
CorralData
MLReef
Microsoft
DataOps.live
Helios Data
Mode Analytics
AppsFlyer
Databricks
Alteryx
Datastreams.io
Cloudera
Atlan
Permutive
xtendr
Data collaboration platforms are online software tools used to work with data sets, databases, and analytics in real time. They enable people to collaborate on projects and share information securely with remote teams and customers. Data collaboration platforms allow users to access, manage, analyze and report on data within a single platform.
Data collaboration platforms streamline the process of sharing data within an organization. This is done by enabling users to review datasets together without having to download them individually or move them from one system to another. This allows for faster decision making as members of the team can quickly provide input or feedback on changes that need to be made. Data collaboration also eliminates redundancy among datasets because they’re all accessible in the same place.
Data collaboration tools offer features such as version control and history tracking. Version control enables users to save different versions of the dataset so if errors occur or changes need to be made quickly, older versions can be reverted back to life easily. History tracking helps keep track of when dataset changes were made so it’s easier for project managers to identify who was responsible for which edits at any given time.
In addition, data collaboration platforms help ensure security by allowing each user a specific level of access depending on their role in the project. Users can also protect their own files from other users by encrypting them using passwords and limiting access based on permissions levels set up ahead of time by administrators.
The primary benefit of using a data collaboration platform is its ability to increase efficiency and productivity throughout an organization by reducing manual processes associated with working with large datasets across multiple departments or teams. It makes it easy for everyone involved in a project—from analysts and engineers, marketing teams, customer service representatives—to stay current with up-to-date information without worrying about accessing out-of-date resources or lost files due to conflicting schedules or lack of communication between departments.
Overall, data collaboration platforms provide a powerful way to access, share and manage datasets in a secure environment so that teams can work together quickly and efficiently. By taking the time to evaluate your organizational needs, you’ll be able to choose the right platform for your company and create a collaborative working environment for your team.
The cost of data collaboration platforms can vary significantly depending on the specific features, capabilities and level of support required. Generally speaking, the cost of a data collaboration platform will depend on the number of users and the complexity of the system that needs to be implemented. For small businesses or teams starting out with a limited budget, basic options are available for cloud-based solutions at an average cost of around $10-$25 per user per month. Medium sized businesses or larger teams may require more advanced options with additional features and customization capabilities, which could range from $100-$500 per user per month. Customizations may include integrations with business intelligence tools, analytics packages and other specialized components as well as in-depth support services from expert consultants. Ultimately, each company’s needs will vary and it is important to shop around for the best fit in terms of both price and features when looking for a data collaboration platform.
Data collaboration platforms can integrate with a variety of software types, including communication software such as instant messaging applications, project management software to help coordinate tasks and resources between multiple users, document and file storage systems for user access and sharing, as well as analytical tools for data management, ETL, data manipulation and visualization. Many data collaboration platforms also offer integration with third-party services like Zapier or IFTTT to enable users to further extend their platform capabilities. This allows for the use of other web applications within the platform, such as accounting software, email marketing programs, or customer relationship management (CRM) solutions. Data collaboration platforms can also integrate with more general collaboration software. Finally, many data collaboration platforms allow developers to create custom integrations using an application programming interface (API).
First, determine what type of data you’d like to collaborate on. Do you need a platform that allows for document sharing and editing? Or do you have more specific needs such as working with large datasets or connecting with various external applications? Once you’ve identified your data types, it will be easier to narrow down your search.
Next, review the features and capabilities of each platform to make sure they fit your use case. A good platform should provide users with easy access to their files and allow them to share and edit documents quickly and securely. Additionally, it should have integration capabilities so that other applications or services can access or transfer information directly into the system. Use the tools on this page to compare data collaboration platforms by user reviews, pricing, features, integrations, operating system, and more.
Finally, consider pricing options — some providers offer free plans while others may require monthly subscription fees. Make sure to factor in any additional costs such as storage fees and customer support services if needed.