Apache Spark vs Datameer comparison

Cancel
You must select at least 2 products to compare!
Apache Logo
2,498 views|1,884 comparisons
89% willing to recommend
Datameer Logo
51 views|48 comparisons
40% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Apache Spark and Datameer 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).
768,740 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:
Pricing and Cost Advice
  • "Since we are using the Apache Spark version, not the data bricks version, it is an Apache license version, the support and resolution of the bug are actually late or delayed. The Apache license is free."
  • "Apache Spark is open-source. You have to pay only when you use any bundled product, such as Cloudera."
  • "We are using the free version of the solution."
  • "Apache Spark is not too cheap. You have to pay for hardware and Cloudera licenses. Of course, there is a solution with open source without Cloudera."
  • "Apache Spark is an expensive solution."
  • "Spark is an open-source solution, so there are no licensing costs."
  • "On the cloud model can be expensive as it requires substantial resources for implementation, covering on-premises hardware, memory, and licensing."
  • "It is an open-source solution, it is free of charge."
  • More Apache Spark Pricing and Cost Advice →

    Information Not Available
    report
    Use our free recommendation engine to learn which Hadoop solutions are best for your needs.
    768,740 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:We use Spark to process data from different data sources.
    Top Answer:In data analysis, you need to take real-time data from different data sources. You need to process this in a subsecond, and do the transformation in a subsecond
    Ask a question

    Earn 20 points

    Ranking
    1st
    out of 22 in Hadoop
    Views
    2,498
    Comparisons
    1,884
    Reviews
    25
    Average Words per Review
    432
    Rating
    8.7
    1st
    out of 8 in BI on Hadoop
    Views
    51
    Comparisons
    48
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Learn More
    Overview

    Spark provides programmers with an application programming interface centered on a data structure called the resilient distributed dataset (RDD), a read-only multiset of data items distributed over a cluster of machines, that is maintained in a fault-tolerant way. It was developed in response to limitations in the MapReduce cluster computing paradigm, which forces a particular linear dataflowstructure on distributed programs: MapReduce programs read input data from disk, map a function across the data, reduce the results of the map, and store reduction results on disk. Spark's RDDs function as a working set for distributed programs that offers a (deliberately) restricted form of distributed shared memory

    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.
    Sample Customers
    NASA JPL, UC Berkeley AMPLab, Amazon, eBay, Yahoo!, UC Santa Cruz, TripAdvisor, Taboola, Agile Lab, Art.com, Baidu, Alibaba Taobao, EURECOM, Hitachi Solutions
    Trustev, DetroitCrime Commission, Sears, Visa, citi, vivint, workday, Kabam, USA Olympic Team, CDW, BT, at&t, Bank of America, NetApp., expresso
    Top Industries
    REVIEWERS
    Computer Software Company30%
    Financial Services Firm15%
    University9%
    Marketing Services Firm6%
    VISITORS READING REVIEWS
    Financial Services Firm24%
    Computer Software Company13%
    Manufacturing Company7%
    Comms Service Provider6%
    No Data Available
    Company Size
    REVIEWERS
    Small Business40%
    Midsize Enterprise19%
    Large Enterprise40%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise71%
    No Data Available
    Buyer's Guide
    Hadoop
    April 2024
    Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: April 2024.
    768,740 professionals have used our research since 2012.

    Apache Spark is ranked 1st in Hadoop with 60 reviews while Datameer is ranked 1st in BI on Hadoop. Apache Spark is rated 8.4, while Datameer is rated 7.2. The top reviewer of Apache Spark writes "Reliable, able to expand, and handle large amounts of data well". On the other hand, 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". Apache Spark is most compared with Spring Boot, AWS Batch, Spark SQL, SAP HANA and Cloudera Distribution for Hadoop, whereas Datameer is most compared with Databricks.

    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.