Oracle Big Data Appliance vs VMware Tanzu Greenplum comparison

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Executive Summary

We performed a comparison between Oracle Big Data Appliance and VMware Tanzu Greenplum 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: 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:
Pros
"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.""This is a comprehensive solution that is easy to deploy.""The best thing about the product is that the end-user can build the reports by themselves without really knowing anything about databases."

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"The parallel load features mean that Greenplum is capable of high-volume data loading in parallel to all of the cluster segments, which is really valuable.""We chose Greenplum because of the architecture in terms of clustering databases and being able to have, or at least utilize the resources that are sitting on a database.""Pivotal Greenplum's shared-nothing architecture.""Very fast for query processing.""Helps us to achieve large-scale analytics.""It works very well with large database queries.""Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform.""Scalable (Massive) Parallel Processing (MPP) – The ability to bring to bear large amounts of compute against large data sets with Greenplum and the EMC DCA has proven itself to be very effective."

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Cons
"The product should be simplified for the average user.""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.""It seems like the deployment of repositories has become more difficult in later versions of the product rather than easier."

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"Extra filters would be helpful.""Lacks sufficient inbuilt machine-learning functions for complex use cases.""The initial setup is somewhat complex and the out-of-the-box configuration requires optimization.""It will be very useful if we could communicate with other database types from Greenplum (using a database link).""They need to enhance integration with other Big Data products... to integrate with Big Data platforms, and to open a bi-directional connection between Greenplum and Big Data.""One of the disadvantages, not a disadvantage with the product itself, but overall, is the expertise in the marketplace. It's not easy to find a Greenplum administrator in the market, compared to other products such as Oracle.""We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL.""I saw some limitation with respect to the column store, and removing this would be an improvement."

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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 →

  • "It is the best product with best fit for price/performance customer objectives."
  • "Pricing is good compared to other products. It's fine."
  • "We are using the open-source version of this solution."
  • "Tanzu Greenplum's pricing is really competitive and gives excellent value for money."
  • "It’s an open-source solution."
  • More VMware Tanzu Greenplum 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.
    Top Answer:It’s an open-source solution. There are no expenses for using it.
    Top Answer:Maintenance is time-consuming. It takes time to VACUUM and ANALYZE the tables to remove the fragmentations.
    Ranking
    12th
    out of 33 in Data Warehouse
    Views
    850
    Comparisons
    668
    Reviews
    1
    Average Words per Review
    235
    Rating
    8.0
    9th
    out of 33 in Data Warehouse
    Views
    2,186
    Comparisons
    1,771
    Reviews
    6
    Average Words per Review
    370
    Rating
    7.3
    Comparisons
    Also Known As
    Greenplum, Pivotal Greenplum
    Learn More
    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

    VMware Tanzu Greenplum is a massively parallel processing (MPP) data platform that enables organizations to store, manage, and analyze large volumes of data. It provides a unified analytics platform that supports various data types and sources, including structured, semi-structured, and unstructured data. 

    The solution is highly scalable and can be deployed on-premises, in the cloud, or hybrid environments. It includes advanced security features, high availability, and disaster recovery capabilities to minimize downtime and ensure business continuity. Tanzu Greenplum provides a comprehensive set of tools and services for building, deploying, and managing modern applications.

    Sample Customers
    Caixa Bank
    General Electric, Conversant, China CITIC Bank, Aridhia, Purdue University
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm22%
    University10%
    Computer Software Company9%
    Government6%
    REVIEWERS
    Financial Services Firm52%
    Marketing Services Firm12%
    Comms Service Provider12%
    Retailer8%
    VISITORS READING REVIEWS
    Financial Services Firm30%
    Computer Software Company13%
    Manufacturing Company6%
    Insurance Company5%
    Company Size
    REVIEWERS
    Small Business14%
    Midsize Enterprise14%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise13%
    Large Enterprise66%
    REVIEWERS
    Small Business20%
    Midsize Enterprise14%
    Large Enterprise66%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise12%
    Large Enterprise70%
    Buyer's Guide
    Data Warehouse
    March 2024
    Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    Oracle Big Data Appliance is ranked 12th in Data Warehouse with 5 reviews while VMware Tanzu Greenplum is ranked 9th in Data Warehouse with 36 reviews. Oracle Big Data Appliance is rated 8.0, while VMware Tanzu Greenplum is rated 7.8. 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, the top reviewer of VMware Tanzu Greenplum writes "Very efficient at large scale analytics; lacks inbuilt machine-learning functions for complex use cases". Oracle Big Data Appliance is most compared with Oracle Exadata, Apache Hadoop, Teradata and Microsoft Azure Synapse Analytics, whereas VMware Tanzu Greenplum is most compared with Oracle Exadata, Vertica, Oracle Database Appliance, Apache Hadoop and Snowflake.

    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.