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Datameer vs Spark SQL comparison

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Datameer Logo

Datameer

Read 4 Datameer reviews
51 views|48 comparisons
40% willing to recommend
Apache Logo

Spark SQL

Read 14 Spark SQL reviews
1,534 views|1,005 comparisons
85% willing to recommend
Featured Review
Anonymous User
It has got basic and advanced functions of SQL, but there are issues when saving the workbook or applying any...
Datameer has improved our process of extracting and filtering of data as it's much easier and effective when compared to how we were doing this... Read more →
Lucas Dreyer
Processing solution used for data engineering and transformation with the ability to process large datasets
Certain data sets that are very large are very difficult to process with Pandas and Python libraries. Spark SQL has helped us a lot with that.
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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."

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    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
    1st
    out of 8 in BI on Hadoop
    Views
    51
    Comparisons
    48
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    4th
    out of 22 in Hadoop
    Views
    1,534
    Comparisons
    1,005
    Reviews
    7
    Average Words per Review
    543
    Rating
    8.3
    Comparisons
    Learn More
    Datameer
    Apache
    Overview
    Datameer specializes in analysis of large volumes of data for business users of Apache Hadoop. The company's product, Datameer Analytics Solution (DAS), is a business integration platform for Hadoop and includes data source integration, an analytics engine with a spreadsheet interface designed for business users with over 200 analytic functions and visualization including reports, charts and dashboards. DAS is available for major Hadoop distributions including Apache, Cloudera, EMC Greenplum HD, IBM BigInsights, MapR, Yahoo! and Amazon.
    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
    Trustev, DetroitCrime Commission, Sears, Visa, citi, vivint, workday, Kabam, USA Olympic Team, CDW, BT, at&t, Bank of America, NetApp., expresso
    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%

    Datameer is ranked 1st in BI on Hadoop while Spark SQL is ranked 4th in Hadoop with 14 reviews. Datameer is rated 7.2, while Spark SQL is rated 7.8. The top reviewer of Datameer writes "It has got basic and advanced functions of SQL, but there are issues when saving the workbook or applying any filtering criteria". On the other hand, the top reviewer of Spark SQL writes "Offers the flexibility to handle large-scale data processing". Datameer is most compared with Databricks, whereas Spark SQL is most compared with Apache Spark, IBM Db2 Big SQL, SAP HANA, HPE Ezmeral Data Fabric and Netezza Analytics.

    We monitor all BI on 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.