Oracle Big Data Cloud Service vs Sisense comparison

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13 views|7 comparisons
100% willing to recommend
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0 views|2 comparisons
95% willing to recommend
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Executive Summary

We performed a comparison between Oracle Big Data Cloud Service and Sisense based on real PeerSpot user reviews.

Find out what your peers are saying about IBM, Densify, Spot by NetApp and others in Cloud Analytics.
To learn more, read our detailed Cloud Analytics Report (Updated: March 2024).
768,924 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:
Pros
"The solution's most valuable aspect is the fact that it is open source.""The solution's most valuable aspects are its data integration and data virtualization."

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"ElastiCube Manager is a very easy to use ETL tool, which includes the ability to easily transform raw data into reusable data.""No issues with stability. It is a very stable solution.""Sisense has helped us gain knowledge about our customers, as well as highlighting data quality issues to correct.""Allows us to execute heavy, complex computations on the fly so customers can slice and dice the data based on their business needs.""Visually displaying data.""It has allowed me to move my data to the cloud.""The best part about this solution is how easy it is to mash up the data from many sources. Sisense is fast compared to other solutions.""Whenever we have an issue or are unsure how to proceed, they manage to simplify the issue and help us execute it in a graceful and scalable way."

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Cons
"We've had some issues with stability.""The solution needs to improve the functionality of the auto-deduplication."

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"At present there are additional costs involved if we wish to share our data queues within this solution, which we would like to see removed.""I would love to have more customization capabilities for building dashboards, especially in creating custom widget sizes.""I would like to see more development and growth for the support of Knowledge Base and Community forums.""Larger datasets will sometimes give a "Accumulated logs" error when trying to make minor changes. T""The administrative side of Sisense is a little cumbersome and confusing.""I would like Sisense to improve its performance, particularly when we are dealing with large-scale data.""This solution does not have tabs. In order to have tabs, you have to download an add-on to mimic the tabs. They should be integrated to improve the solution.""The initial version we purchased only ran on Windows servers, which was less than ideal for our DevOps team. I believe that has been remedied in the latest release."

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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."
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    Questions from the Community
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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
    8th
    out of 9 in Cloud Analytics
    Views
    13
    Comparisons
    7
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    4th
    out of 9 in Cloud Analytics
    Views
    0
    Comparisons
    2
    Reviews
    5
    Average Words per Review
    373
    Rating
    7.4
    Comparisons
    Learn More
    Overview

    Oracle Big Data Cloud Service is an automated service that provides a highpowered environment tailor-made for advancing businesses' analytical capabilities. With automated lifecycle management and one-click security, Big Data Cloud Service is designed to optimally and securely run a wide variety of big data workloads and technologies while simplifying operations. Big Data Cloud Service includes several high-end analytics components, ranging from Oracle Big Data Spatial and Graph to R and embedded components like Apache Spark and Impala.

    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
    GE Digital, Wiggle, RecVue
    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
    Cloud Analytics
    March 2024
    Find out what your peers are saying about IBM, Densify, Spot by NetApp and others in Cloud Analytics. Updated: March 2024.
    768,924 professionals have used our research since 2012.

    Oracle Big Data Cloud Service is ranked 8th in Cloud Analytics while Sisense is ranked 4th in Cloud Analytics with 39 reviews. Oracle Big Data Cloud Service is rated 7.6, while Sisense is rated 8.8. The top reviewer of Oracle Big Data Cloud Service writes "Easy to set up with good data integration and data virtualization". On the other hand, the top reviewer of Sisense writes "Business intelligence solution that has improved automation and provided meaningful insights". Oracle Big Data Cloud Service 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 Cloud Analytics vendors.

    We monitor all Cloud Analytics 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.