We just raised a $30M Series A: Read our story

Compare IBM Db2 Big SQL vs. Splice Machine

Cancel
You must select at least 2 products to compare!
IBM Db2 Big SQL Logo
80 views|62 comparisons
Splice Machine Logo
90 views|43 comparisons
Ranking
14th
out of 22 in Hadoop
Views
80
Comparisons
62
Reviews
0
Average Words per Review
0
Rating
N/A
15th
out of 22 in Hadoop
Views
90
Comparisons
43
Reviews
0
Average Words per Review
0
Rating
N/A
Find out what your peers are saying about Apache, Cloudera, IBM and others in Hadoop. Updated: September 2021.
540,984 professionals have used our research since 2012.
Comparisons
Learn More
Splice Machine
Video Not Available
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.

Splice Machine is an application platform built to power predictive applications that manage operational processes, large-scale IoT infrastructures, analytical processing and machine learning. It is a Hybrid RDBMS that can be delivered as a cloud service, or used on premise through our Enterprise Edition or Community Edition.
Offer
Learn more about IBM Db2 Big SQL
Learn more about Splice Machine
Sample Customers
Information Not Available
Cetera Financial Group, Clearsense, Infinera, Maryland, Kroger
Find out what your peers are saying about Apache, Cloudera, IBM and others in Hadoop. Updated: September 2021.
540,984 professionals have used our research since 2012.

IBM Db2 Big SQL is ranked 14th in Hadoop while Splice Machine is ranked 15th in Hadoop. IBM Db2 Big SQL is rated 0.0, while Splice Machine is rated 0.0. On the other hand, IBM Db2 Big SQL is most compared with Spark SQL, whereas Splice Machine is most compared with .

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.