OpenViz vs Sisense comparison

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77 views|50 comparisons
Sisense Logo
1,046 views|935 comparisons
95% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between OpenViz 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).
767,667 professionals have used our research since 2012.
Featured Review
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We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
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  • "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
    53rd
    out of 70 in Data Visualization
    Views
    77
    Comparisons
    50
    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
    Learn More
    AVS
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    Overview
    OpenViz is a multifunction API that serves as a rich canvas for the development of intelligent and interactive data visualizations that have an intimate relationship with both the underlying data and the end user. OpenViz is a collection of data visualization, data analysis and data management techniques that can be integrated into any software solution, enabling any type and quantity of data to be expressed as highly interactive 2D and 3D presentations that can be easily distributed via the Web and added to new or existing applications.

    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
    Verdasys, Computer Associates, Opera Solutions, Oracle
    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%
    Media Company5%
    Company Size
    No Data Available
    REVIEWERS
    Small Business57%
    Midsize Enterprise17%
    Large Enterprise26%
    VISITORS READING REVIEWS
    Small Business26%
    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.
    767,667 professionals have used our research since 2012.

    OpenViz is ranked 53rd in Data Visualization while Sisense is ranked 14th in Data Visualization with 39 reviews. OpenViz 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". OpenViz 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.