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Compare IBM Db2 Big SQL vs. Spark SQL

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IBM Db2 Big SQL Logo
80 views|62 comparisons
Spark SQL Logo
674 views|292 comparisons
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"The solution is open-sourced and free."

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Top Answer: Data validation and ease of use are the most valuable features.
Top Answer: There should be better integration with other solutions.
Ranking
14th
out of 22 in Hadoop
Views
80
Comparisons
62
Reviews
0
Average Words per Review
0
Rating
N/A
3rd
out of 22 in Hadoop
Views
674
Comparisons
292
Reviews
5
Average Words per Review
297
Rating
7.0
Comparisons
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Overview

IBM Db2® Big SQL is an enterprise-grade, hybrid ANSI-compliant SQL-on-Hadoop engine, delivering massively parallel processing (MPP) and advanced data query. Db2 Big SQL offers a single database connection or query for disparate sources such as Hadoop HDFS and WebHDFS, RDMS, NoSQL databases and object stores. Benefit from low latency, high performance, security, SQL compatibility and federation capabilities to do ad hoc and complex queries.

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.
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Sample Customers
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UC Berkeley AMPLab, Amazon, Alibaba Taobao, Kenshoo, Hitachi Solutions
Top Industries
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VISITORS READING REVIEWS
Computer Software Company32%
Comms Service Provider26%
Financial Services Firm8%
Healthcare Company6%
Find out what your peers are saying about Apache, Cloudera, IBM and others in Hadoop. Updated: September 2021.
541,462 professionals have used our research since 2012.

IBM Db2 Big SQL is ranked 14th in Hadoop while Spark SQL is ranked 3rd in Hadoop with 5 reviews. IBM Db2 Big SQL is rated 0.0, while Spark SQL is rated 7.0. On the other hand, the top reviewer of Spark SQL writes "GUI could be improved. Useful for speedily processing big data". IBM Db2 Big SQL is most compared with , whereas Spark SQL is most compared with Amazon EMR, Apache Spark, Informatica Big Data Parser, AtScale Adaptive Analytics (A3) and Netezza Analytics.

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