Compare Apache Spark vs. Informatica Big Data Parser

Apache Spark is ranked 1st in Hadoop with 7 reviews while Informatica Big Data Parser is ranked 10th in Hadoop. Apache Spark is rated 8.0, while Informatica Big Data Parser is rated 0. The top reviewer of Apache Spark writes "Fast performance and has an easy initial setup". On the other hand, Apache Spark is most compared with Spring Boot, AWS Lambda and Azure Stream Analytics, whereas Informatica Big Data Parser is most compared with Apache Spark, Spark SQL and Cloudera Distribution for Hadoop.
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Ranking
1st
out of 24 in Hadoop
Views
11,254
Comparisons
9,257
Reviews
7
Average Words per Review
207
Avg. Rating
8.0
10th
out of 24 in Hadoop
Views
882
Comparisons
806
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
Compared 32% of the time.
Compared 12% of the time.
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 SolutionsWestern Union, UPMC, BNY Mellon
Top Industries
REVIEWERS
Financial Services Firm29%
Software R&D Company29%
Marketing Services Firm14%
Healthcare Company14%
VISITORS READING REVIEWS
Software R&D Company31%
Comms Service Provider13%
Financial Services Firm9%
Media Company8%
No Data Available
Find out what your peers are saying about Apache, Cloudera, Hortonworks and others in Hadoop. Updated: November 2019.
378,397 professionals have used our research since 2012.
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