• Home
  • Spark SQL vs. Zettaset Data Platform

Spark SQL vs Zettaset Data Platform comparison

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

Spark SQL

Read 14 Spark SQL reviews
1,534 views|1,005 comparisons
85% willing to recommend
Zettaset Logo

Zettaset Data Platform

44 views|25 comparisons
Comparison Buyer's Guide
Download the complete report
Buyer's Guide
Hadoop
April 2024
Executive Summary

We performed a comparison between Spark SQL and Zettaset Data Platform 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
768,246 professionals have used our research since 2012.
Featured Review
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.
Use Zettaset Data Platform?
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
  • "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 →

    Information Not Available
    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
    768,246 professionals have used our research since 2012.
    Questions from the Community
    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   →
    Ask a question

    Earn 20 points

    Ranking
    4th
    out of 22 in Hadoop
    Views
    1,534
    Comparisons
    1,005
    Reviews
    7
    Average Words per Review
    543
    Rating
    8.3
    19th
    out of 22 in Hadoop
    Views
    44
    Comparisons
    25
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Learn More
    Apache
    Zettaset
    Video Not Available
    Overview
    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.
    Customers worldwide choose XCrypt Data Encryption solutions for use in high performance, high availability and seamlessly scalable data environments. XCrypt Data Encryption solutions are designed to function with near-zero latency to support the most demanding deployment requirements, including high-speed transactions, in-memory databases, and real-time, web-based applications.
    Sample Customers
    UC Berkeley AMPLab, Amazon, Alibaba Taobao, Kenshoo, Hitachi Solutions
    HP Enterprise Security
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm21%
    Computer Software Company14%
    University8%
    Manufacturing Company5%
    No Data Available
    Company Size
    REVIEWERS
    Small Business36%
    Midsize Enterprise43%
    Large Enterprise21%
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise13%
    Large Enterprise74%
    No Data Available
    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
    768,246 professionals have used our research since 2012.

    Spark SQL is ranked 4th in Hadoop with 14 reviews while Zettaset Data Platform is ranked 19th in Hadoop. Spark SQL is rated 7.8, while Zettaset Data Platform is rated 0.0. The top reviewer of Spark SQL writes "Offers the flexibility to handle large-scale data processing". On the other hand, Spark SQL is most compared with Apache Spark, IBM Db2 Big SQL, SAP HANA, HPE Ezmeral Data Fabric and Netezza Analytics, whereas Zettaset Data Platform is most compared with .

    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.