Compare the Top Data Collaboration Platforms in the USA as of January 2026

What are Data Collaboration Platforms in the USA?

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 in the USA currently available using the table below. This list is updated regularly.

  • 1
    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
  • 2
    Apheris

    Apheris

    Apheris

    Apheris is a platform that enables organizations to collaborate on distributed data securely, privately, and in compliance with regulations. By deploying the Apheris Compute Gateway alongside your data, computations for machine learning and analytics are brought directly to the data, ensuring that it never moves or becomes directly accessible, thus retaining its value. This approach addresses challenges where data is often siloed due to geographical, regulatory, or organizational boundaries, or is too sensitive or costly to move. Alternative solutions like synthetic data, encryption, or data clean rooms can limit result validity, risk data breaches, or lack scalability. Apheris leverages federation to build models over entire data cohorts without moving a single byte, with governance, security, and privacy forming the backbone of the solution, ensuring compliance with regulations from the start.
  • Previous
  • You're on page 1
  • Next