Compare IBM Db2 Big SQL vs. Spark SQL

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IBM Db2 Big SQL Logo
71 views|56 comparisons
Spark SQL Logo
662 views|286 comparisons
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"The solution is open-sourced and free."

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Top Answer: It is a stable solution.
Top Answer: Being a new user, I am not able to find out how to partition it correctly. I probably need more information or knowledge. In other database solutions, you can easily optimize all partitions. I haven't… more »
Top Answer: We use it to gather all the transaction data. We have Hadoop and Spark in our system, and we use some easy process flows for transport.
Ranking
15th
out of 22 in Hadoop
Views
71
Comparisons
56
Reviews
0
Average Words per Review
0
Rating
N/A
4th
out of 22 in Hadoop
Views
662
Comparisons
286
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.
534,226 professionals have used our research since 2012.

IBM Db2 Big SQL is ranked 15th in Hadoop while Spark SQL is ranked 4th 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 and Netezza Analytics.

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