Oracle Big Data Appliance vs SAND [EOL] comparison

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804 views|621 comparisons
71% willing to recommend
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Executive Summary

We performed a comparison between Oracle Big Data Appliance and SAND [EOL] based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse.
To learn more, read our detailed Data Warehouse Report (Updated: April 2024).
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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
  • "Oracle's prices are too high compared to others in the market."
  • More Oracle Big Data Appliance Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Because Big Data Appliance allows me to have a single source of truth, it means I have clean data that can be monetized and leveraged to gain more insights with real-time reports from the dashboard.
    Top Answer:From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera. Oracle could also improve Big Data… more »
    Top Answer:I use Big Data Appliance to have a single source of truth for my data and to keep all my data in one place.
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    Ranking
    12th
    out of 34 in Data Warehouse
    Views
    804
    Comparisons
    621
    Reviews
    1
    Average Words per Review
    235
    Rating
    8.0
    Unranked
    In Data Warehouse
    Comparisons
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    SAND Technology
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    Overview

    Oracle Big Data Appliance is a flexible, high-performance, secure platform for running diverse workloads on Hadoop and NoSQL systems. With Oracle Big Data SQL, Oracle Big Data Appliance extends Oracle’s industry-leading implementation of SQL to Hadoop and NoSQL systems. By combining the newest technologies from the Hadoop ecosystem and powerful Oracle SQL capabilities together on a single pre-configured platform, Oracle Big Data Appliance is uniquely able to support rapid development of new Big Data applications and tight integration with existing relational data.

    For more information on Oracle Big Data Appliance, visit Oracle.com

    SAND delivers a world class performing Enterprise Analytic Database Platform. The SAND Platform is a patented columnar database management system (CDBMS), delivering optimal performance for every user. Generation based concurrency control (GBCC) technology supports thousands of concurrent users with massive and constantly growing data. SAND delivers on the promise of sharing data throughout the Enterprise, providing instant access, driving decision-making, and ensuring the best information is in the hands of the right people at the right time.

    Sample Customers
    Caixa Bank
    Information Not Available
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm22%
    Computer Software Company10%
    University9%
    Government6%
    No Data Available
    Company Size
    REVIEWERS
    Small Business14%
    Midsize Enterprise14%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise13%
    Large Enterprise66%
    No Data Available
    Buyer's Guide
    Data Warehouse
    April 2024
    Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: April 2024.
    767,995 professionals have used our research since 2012.

    Oracle Big Data Appliance is ranked 12th in Data Warehouse with 5 reviews while SAND [EOL] doesn't meet the minimum requirements to be ranked in Data Warehouse. Oracle Big Data Appliance is rated 8.0, while SAND [EOL] is rated 0.0. The top reviewer of Oracle Big Data Appliance writes "Fast, and you don't need technical expertise to use it and produce results". On the other hand, Oracle Big Data Appliance is most compared with Oracle Exadata, Apache Hadoop, Teradata and Microsoft Azure Synapse Analytics, whereas SAND [EOL] is most compared with .

    See our list of best Data Warehouse vendors.

    We monitor all Data Warehouse 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.