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Apache Spark vs Informatica Big Data Parser comparison

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Executive Summary

We performed a comparison between Apache Spark and Informatica Big Data Parser based on real PeerSpot user reviews.

Find out in this report how the two Hadoop solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Apache Spark vs. Informatica Big Data Parser report (Updated: September 2022).
635,513 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."
  • "Spark is an open-source solution, so there are no licensing costs."
  • "Apache Spark is open-source. You have to pay only when you use any bundled product, such as Cloudera."
  • More Apache Spark Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:I don't think using Apache Spark without Hadoop has any major drawbacks or issues. I have used Apache Spark quite successfully with AWS S3 on many projects which are batch based. Yes for very high… more »
    Top Answer:It's an open-source product. I don't know much about the licensing aspect.
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    Ranking
    1st
    out of 22 in Hadoop
    Views
    10,933
    Comparisons
    8,698
    Reviews
    13
    Average Words per Review
    422
    Rating
    8.2
    8th
    out of 22 in Hadoop
    Views
    391
    Comparisons
    349
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Big Data Parser
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    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

    Informatica Big Data Parser enables access to the most difficult data and file formats in Hadoop, reducing the time and cost of developing data handlers by 70 percent. It enables IT organizations to efficiently manage industry standards, binary documents, and hierarchical data.

    Big Data Parser provides a unique development environment for lean data integration. With this software, your IT organization can view data samples within Big Data Parser Studio and understand their structure and layout through a set of integrated tools

    Offer
    Learn more about Apache Spark
    Learn more about Informatica Big Data Parser
    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
    Western Union, UPMC, BNY Mellon
    Top Industries
    REVIEWERS
    Computer Software Company29%
    Financial Services Firm29%
    Marketing Services Firm7%
    Non Profit7%
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Computer Software Company18%
    Comms Service Provider15%
    Retailer5%
    VISITORS READING REVIEWS
    Computer Software Company19%
    Financial Services Firm13%
    Comms Service Provider12%
    Manufacturing Company10%
    Company Size
    REVIEWERS
    Small Business42%
    Midsize Enterprise23%
    Large Enterprise35%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise12%
    Large Enterprise72%
    VISITORS READING REVIEWS
    Small Business12%
    Midsize Enterprise7%
    Large Enterprise82%
    Buyer's Guide
    Hadoop
    September 2022
    Find out what your peers are saying about Apache, Cloudera, IBM and others in Hadoop. Updated: September 2022.
    635,513 professionals have used our research since 2012.

    Apache Spark is ranked 1st in Hadoop with 13 reviews while Informatica Big Data Parser is ranked 8th in Hadoop. Apache Spark is rated 8.2, while Informatica Big Data Parser is rated 0.0. The top reviewer of Apache Spark writes "Provides fast aggregations, AI libraries, and a lot of connectors". On the other hand, Apache Spark is most compared with Spring Boot, Azure Stream Analytics, AWS Batch, AWS Lambda and SAP HANA, whereas Informatica Big Data Parser is most compared with HPE Ezmeral Data Fabric and Spark SQL.

    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.