• Home
  • Pivotal Greenplum HD [EOL] vs. Spark SQL

Pivotal Greenplum HD [EOL] vs Spark SQL comparison

Cancel
You must select at least 2 products to compare!
VMware Logo

Pivotal Greenplum HD [EOL]

views| comparisons
Apache Logo

Spark SQL

Read 14 Spark SQL reviews
1,534 views|1,005 comparisons
85% willing to recommend
Comparison Buyer's Guide
Download the complete report
Buyer's Guide
Hadoop
April 2024
Executive Summary

We performed a comparison between Pivotal Greenplum HD [EOL] and Spark SQL based on real PeerSpot user reviews.

Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop.
To learn more, read our detailed Hadoop Report (Updated: April 2024).
Download the complete report
767,995 professionals have used our research since 2012.
Featured Review
Use Pivotal Greenplum HD [EOL]?
Mahdi Sharifmousavi
Incorporates regular SQL syntax within tasks and very useful for querying and depicting data
Spark SQL has enabled us to perform our data preparation tasks within our analytical code.
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
  • "The solution is open-sourced and free."
  • "There is no license or subscription for this solution."
  • "The solution is bundled with Palantir Foundry at no extra charge."
  • "The on-premise solution is quite expensive in terms of hardware, setting up the cluster, memory, hardware and resources. It depends on the use case, but in our case with a shared cluster which is quite large, it is quite expensive."
  • "We use the open-source version, so we do not have direct support from Apache."
  • "We don't have to pay for licenses with this solution because we are working in a small market, and we rely on open-source because the budgets of projects are very small."

    • More Spark SQL Pricing and Cost Advice →

    report
    See Which Vendors Are Best For You
    Use our free recommendation engine to learn which Hadoop solutions are best for your needs.
    See Recommendations
    767,995 professionals have used our research since 2012.
    Questions from the Community
    Ask a question

    Earn 20 points

    What do you like most about Spark SQL?
    Top Answer:Spark SQL's efficiency in managing distributed data and its simplicity in expressing complex operations make it an essential part of our data pipeline.
    Read all 14 answers   →
    What is your experience regarding pricing and costs for Spark SQL?
    Top Answer:We don't have to pay for licenses with this solution because we are working in a small market, and we rely on open-source because the budgets of projects are very small.
    Read all 8 answers   →
    What needs improvement with Spark SQL?
    Top Answer:In terms of improvement, the only thing that could be enhanced is the stability aspect of Spark SQL. There could be additional features that I haven't explored but the current solution for working… more »
    Read all 14 answers   →
    Ranking
    Unranked
    In Hadoop
    4th
    out of 22 in Hadoop
    Views
    1,534
    Comparisons
    1,005
    Reviews
    7
    Average Words per Review
    543
    Rating
    8.3
    Comparisons
    Also Known As
    EMC Greenplum HD
    Learn More
    VMware
    Video Not Available
    Apache
    Overview
    Pivotal Greenplum is a commercial fully featured data warehouse powered by the open source Greenplum Database. It provides powerful and rapid analytics on petabyte scale data volumes. Uniquely geared toward big data analytics, Greenplum is powered by advanced cost-based query optimizer delivering high analytical query performance on large data volumes.
    Spark SQL is a Spark module for structured data processing. Unlike the basic Spark RDD API, the interfaces provided by Spark SQL provide Spark with more information about the structure of both the data and the computation being performed. There are several ways to interact with Spark SQL including SQL and the Dataset API. When computing a result the same execution engine is used, independent of which API/language you are using to express the computation. This unification means that developers can easily switch back and forth between different APIs based on which provides the most natural way to express a given transformation.
    Sample Customers
    Samsung SDI, WGSN Group
    UC Berkeley AMPLab, Amazon, Alibaba Taobao, Kenshoo, Hitachi Solutions
    Top Industries
    No Data Available
    VISITORS READING REVIEWS
    Financial Services Firm21%
    Computer Software Company14%
    University8%
    Manufacturing Company5%
    Company Size
    No Data Available
    REVIEWERS
    Small Business36%
    Midsize Enterprise43%
    Large Enterprise21%
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise13%
    Large Enterprise74%
    Buyer's Guide
    Hadoop
    April 2024
    Download Free Report
    Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: April 2024.
    DOWNLOAD NOW
    767,995 professionals have used our research since 2012.

    Pivotal Greenplum HD [EOL] doesn't meet the minimum requirements to be ranked in Hadoop while Spark SQL is ranked 4th in Hadoop with 14 reviews. Pivotal Greenplum HD [EOL] is rated 0.0, while Spark SQL is rated 7.8. On the other hand, the top reviewer of Spark SQL writes "Offers the flexibility to handle large-scale data processing". Pivotal Greenplum HD [EOL] is most compared with , whereas Spark SQL is most compared with Apache Spark, IBM Db2 Big SQL, SAP HANA, HPE Ezmeral Data Fabric and Netezza Analytics.

    See our list of best Hadoop vendors.

    We monitor all Hadoop 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.