IBM Analytics for Apache Spark vs. IBM Db2 Big SQL

IBM Analytics for Apache Spark

IBM Analytics for Apache Spark

2 Reviews and Ratings

IBM Db2 Big SQL

IBM Db2 Big SQL

17 Reviews and Ratings

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
IBM Analytics for Apache Spark	Score 8.0 out of 10	N/A	IBM Analytics for Apache Spark for Cloud is a service designed to provide the fast in-memory performance of Apache Spark without the hassle of self-managing Spark clusters, relying instead on the convenience of IBM Cloud.	N/A
Db2 Big SQL	Score 9.0 out of 10	N/A	IBM offers Db2 Big SQL, an enterprise grade hybrid ANSI-compliant SQL on Hadoop engine, delivering massively parallel processing (MPP) and advanced data query. Big SQL offers a single database connection or query for disparate sources such as HDFS, RDMS, NoSQL databases, object stores and WebHDFS.	N/A

Pricing

IBM Analytics for Apache Spark

IBM Db2 Big SQL

Editions & Modules

No answers on this topic

No answers on this topic

Offerings

Pricing Offerings
IBM Analytics for Apache Spark	Db2 Big SQL
Free Trial
No	No
Free/Freemium Version
No	No
Premium Consulting/Integration Services
No	No

Entry-level Setup Fee

No setup fee

No setup fee

Additional Details

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More Pricing Information

Community Pulse
	IBM Analytics for Apache Spark	IBM Db2 Big SQL

Best Alternatives
	IBM Analytics for Apache Spark	IBM Db2 Big SQL
Small Businesses	No answers on this topic	No answers on this topic
Medium-sized Companies	Cloudera Manager Score 9.9 out of 10	Cloudera Manager Score 9.9 out of 10
Enterprises	IBM Analytics Engine Score 7.2 out of 10	IBM Analytics Engine Score 7.2 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	IBM Analytics for Apache Spark	IBM Db2 Big SQL
Likelihood to Recommend	- (0 ratings)	9.0 (2 ratings)
Usability	- (0 ratings)	8.0 (1 ratings)
Support Rating	- (0 ratings)	8.8 (2 ratings)

User Testimonials
	IBM Analytics for Apache Spark	IBM Db2 Big SQL
Likelihood to Recommend	IBM No answers on this topic	IBM My recommendation obviously would depend on the application. But I think given the right requirements, IBM DB2 Big SQL is definitely a contender for a database platform. Especially when disparate data and multiple data stores are involved. I like the fact I can use the product to federate my data and make it look like it's all in one place. The engine is high performance and if you desire to use Hadoop, this could be your platform. Incentivized Gene Baker Vice President, Chief Architect, Development Manager and Software Engineer Read full review
Pros	IBM No answers on this topic	IBM data storage data manipulation data definitions data reliability Incentivized JS John Spies Database Administrator Read full review
Cons	IBM No answers on this topic	IBM Cloud readiness. Ease of implementation. Incentivized Gene Baker Vice President, Chief Architect, Development Manager and Software Engineer Read full review
Usability	IBM No answers on this topic	IBM IBM DB2 is a solid service but hasn't seen much innovation over the past decade. It gets the job done and supports our IT operations across digital so it is fair. Incentivized JS John Spies Database Administrator Read full review
Support Rating	IBM No answers on this topic	IBM IBM did a good job of supporting us during our evaluation and proof of concept. They were able to provide all necessary guidance, answer questions, help us architect it, etc. We were pleased with the support provided by the vendor. I will caveat and say this support was all before the sale, however, we have a ton of IBM products and they provide the same high level of support for all of them. I didn't see this being any different. I give IBM support two thumbs up! Incentivized Gene Baker Vice President, Chief Architect, Development Manager and Software Engineer Read full review
Alternatives Considered	IBM No answers on this topic	IBM MS SQL Server was ruled out given we didn't feel we could collapse environments. We thought of MS-SQL as more of a one for one replacement for Sybase ASE, i.e., server for server. SAP HANA was evaluated and given a big thumbs up but was rejected because the SQL would have to be rewritten at the time (now they have an accelerator so you don't have to). Also, there was a very low adoption rate within the enterprise. IBM DB2 Big SQL was not selected even though technically it achieved high scores, because we could not find readily available talent and low adoption rate within the enterprise (basically no adoption at the time). We ended up selecting Exadata because of the high adoption rate within the enterprise even though technically HANA and Big SQL were superior in our evaluations. Incentivized Gene Baker Vice President, Chief Architect, Development Manager and Software Engineer Read full review
Return on Investment	IBM No answers on this topic	IBM better data visibility solid reliability for mission critical data Incentivized JS John Spies Database Administrator Read full review
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