Compare Apache Spark vs. Informatica Big Data Parser

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"Apache Spark is open-source. You have to pay only when you use any bundled product, such as Cloudera."

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Questions from the Community
Top Answer: I like that it can handle multiple tasks parallelly. I also like the automation feature. JavaScript also helps with the parallel streaming of the library.
Top Answer: Apache Spark is open-source. You have to pay only when you use any bundled product, such as Cloudera.
Top Answer: The logging for the observability platform could be better.
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Ranking
1st
out of 22 in Hadoop
Views
10,898
Comparisons
8,755
Reviews
12
Average Words per Review
441
Rating
8.6
10th
out of 22 in Hadoop
Views
635
Comparisons
590
Reviews
0
Average Words per Review
0
Rating
N/A
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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

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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
Financial Services Firm40%
Computer Software Company20%
Marketing Services Firm10%
Non Profit10%
VISITORS READING REVIEWS
Computer Software Company23%
Comms Service Provider19%
Financial Services Firm11%
Media Company10%
VISITORS READING REVIEWS
Computer Software Company29%
Comms Service Provider19%
Financial Services Firm8%
Pharma/Biotech Company7%
Company Size
REVIEWERS
Small Business36%
Midsize Enterprise21%
Large Enterprise42%
No Data Available
Find out what your peers are saying about Apache, Cloudera, IBM and others in Hadoop. Updated: June 2021.
509,570 professionals have used our research since 2012.

Apache Spark is ranked 1st in Hadoop with 12 reviews while Informatica Big Data Parser is ranked 10th in Hadoop. Apache Spark is rated 8.6, while Informatica Big Data Parser is rated 0.0. The top reviewer of Apache Spark writes "Good Streaming features enable to enter data and analysis within Spark Stream". On the other hand, Apache Spark is most compared with Spring Boot, Azure Stream Analytics, AWS Batch, SAP HANA and AWS Fargate, whereas Informatica Big Data Parser is most compared with Cloudera Distribution for Hadoop, Cloudera DataFlow, Cask, Hortonworks Data Platform and Spark SQL.

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