Birst vs Oracle DataScience.com Platform comparison

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225 views|165 comparisons
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171 views|169 comparisons
Executive Summary

We performed a comparison between Birst and Oracle DataScience.com Platform based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Tableau, Oracle and others in Reporting.
To learn more, read our detailed Reporting Report (Updated: March 2024).
765,234 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
  • "Please negotiate on the price and purchase the latest version."
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    Information Not Available
    Ranking
    32nd
    out of 50 in Reporting
    Views
    225
    Comparisons
    165
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    32nd
    Views
    171
    Comparisons
    169
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Buyer's Guide
    Reporting
    March 2024
    Find out what your peers are saying about Microsoft, Tableau, Oracle and others in Reporting. Updated: March 2024.
    765,234 professionals have used our research since 2012.
    Comparisons
    Also Known As
    Oracle Data Science Platform, DataScience.com Platform, DataScience, DataScience.com
    Learn More
    Overview

    Birst Networked BI and Analytics eliminates information silos. Decentralized users can augment the enterprise data model virtually, as opposed to physically, without compromising data governance.

    A unified semantic layer maintains common definitions and key metrics.
    Birst’s two-tier architecture aligns back-end sources with line-of-business or local data. Birst’s Automated Data Refinement extracts data from any source into a unified semantic layer. Users are enabled with self-service analytics through executive dashboards, reporting, visual discovery, mobile tools, and predictive analytics. Birst Open Client Interface also offers integration with Tableau, Excel and R.

    Birst goes to market in two primary ways: as a direct sale, for enterprises using Birst on internal data to manage their business; and embedded, for companies who offer analytic products, by embedding and white-labeling Birst capabilities into their products.

    Birst’s is packaged in 3 available formats: Platform and per-user fee; by Department or Business Unit; by end-customer (for embedded scenarios).

    The DataScience.com Platform makes it easy and intuitive for data science teams to work collaboratively on the data-driven projects that transform how companies do business. Explore and visualize data, share analyses, deploy models into production, and track performance - all from one place.

    Sample Customers
    Citrix Systems, Jive Software, SunnyD, Toshiba Medical Systems, Cisco OpenDNS, RB, Sunny D, Vertafore
    Sonos, Just Fab, Tradesy, Belkin, DogVacay, Scopely, Topix, Home Chef, Pluto
    Top Industries
    REVIEWERS
    Healthcare Company25%
    Retailer17%
    Insurance Company8%
    Computer Software Company8%
    No Data Available
    Company Size
    REVIEWERS
    Small Business14%
    Midsize Enterprise33%
    Large Enterprise52%
    No Data Available
    Buyer's Guide
    Reporting
    March 2024
    Find out what your peers are saying about Microsoft, Tableau, Oracle and others in Reporting. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    Birst is ranked 32nd in Reporting while Oracle DataScience.com Platform is ranked 32nd in Data Science Platforms. Birst is rated 7.4, while Oracle DataScience.com Platform is rated 0.0. The top reviewer of Birst writes "The dashboards and Visualizer are valuable". On the other hand, Birst is most compared with Microsoft Power BI, Alteryx and ThoughtSpot, whereas Oracle DataScience.com Platform is most compared with Microsoft Azure Machine Learning Studio, Databricks, Amazon SageMaker, SAP BusinessObjects Business Intelligence Platform and Teradata Data Lab.

    We monitor all Reporting reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.