Prognoz Platform vs Sisense comparison

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Prognoz Logo
52 views|29 comparisons
Sisense Logo
1,046 views|935 comparisons
95% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Prognoz Platform and Sisense based on real PeerSpot user reviews.

Find out what your peers are saying about Tableau, Qlik, Splunk and others in Data Visualization.
To learn more, read our detailed Data Visualization Report (Updated: April 2024).
768,740 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
Information Not Available
  • "This solution is more expensive than Tableau, Qlik and Dundas. It is an expensive tool. They charge $75,000 while Tableau is $45,000."
  • More Sisense Pricing and Cost Advice →

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    Top Answer:The solution's technical support team is good.
    Top Answer:Sisense is good in terms of visualization, but it has some drawbacks. For example, it doesn't have any way to sort or filter tables directly on the server side. Also, you can't have multiple tabs; it… more »
    Top Answer:We use the solution to centralize all processes.
    Ranking
    57th
    out of 70 in Data Visualization
    Views
    52
    Comparisons
    29
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    14th
    out of 70 in Data Visualization
    Views
    1,046
    Comparisons
    935
    Reviews
    5
    Average Words per Review
    373
    Rating
    7.4
    Comparisons
    Also Known As
    Prognoz
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    Overview
    Prognoz Platform is an all-in-one BI platform that provides the user with a set of tools to address a broad spectrum of analytical tasks from interactive analysis and data visualization to modeling and forecasting.

    Sisense is an end-to-end business analytics software that enables users to easily prepare and analyze large, complex datasets. Sisense’s Single-Stack BI software includes data preparation, data management, analysis, visualization and reporting capabilities.

    Sample Customers
    Banedanmark, The State Grid Corporation of China, The International Monetary Fund (IMF), Mechel, The Western Ural Bank of Sberbank of Russia, The European Commission, Institute for Prospective Technological Studies (IPTS), The World Bank, The Central Bank of the Russian Federation, Kazakhtelecom JSC
    Ebay, WIX, Wave Accounting, ESPN.com, Magellan Luxury Hotel, Paylogic, Sony, Merck, EDA, One Hour Translation, NASA, Plastic Jungle, Philips, Yahoo
    Top Industries
    No Data Available
    REVIEWERS
    University17%
    Media Company13%
    Leisure / Travel Company8%
    Retailer8%
    VISITORS READING REVIEWS
    Financial Services Firm25%
    Computer Software Company16%
    Healthcare Company6%
    Government6%
    Company Size
    No Data Available
    REVIEWERS
    Small Business57%
    Midsize Enterprise17%
    Large Enterprise26%
    VISITORS READING REVIEWS
    Small Business27%
    Midsize Enterprise14%
    Large Enterprise60%
    Buyer's Guide
    Data Visualization
    April 2024
    Find out what your peers are saying about Tableau, Qlik, Splunk and others in Data Visualization. Updated: April 2024.
    768,740 professionals have used our research since 2012.

    Prognoz Platform is ranked 57th in Data Visualization while Sisense is ranked 14th in Data Visualization with 39 reviews. Prognoz Platform is rated 0.0, while Sisense is rated 8.8. On the other hand, the top reviewer of Sisense writes "Business intelligence solution that has improved automation and provided meaningful insights". Prognoz Platform is most compared with , whereas Sisense is most compared with Microsoft Power BI, Tableau, Apache Superset, Qlik Sense and Amazon QuickSight.

    See our list of best Data Visualization vendors.

    We monitor all Data Visualization 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.