IBM Analytics Engine vs Db2 Big SQL

Likelihood to Recommend

Well suited for my big data related project or a static data set analysis especially for uploading huge dataset to the cluster.
But had some issues with connecting IoT real-time data and feeding to Power BI. It might be my understanding please take it as a mere comment rather than a suggestion.

Graduate Assistant

California State University-Los AngelesHigher Education, 1001-5000 employees

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.

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Gene Baker

Vice President, Chief Architect, Development Manager and Software Engineer

WySTAR Global Retirement Solutions, a Wells Fargo CompanyFinancial Services, 10,001+ employees

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Pros

It integrates easily with other IBM Watson Data Platform services thus improving collaboration.
The use of object storage helps to protect data and improve availability.
Users can spin up Hadoop and Spark clusters within minutes and manage them from a single point of control.

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Christopher Parker

Senior Test Engineer

Vetronix Research CorporationComputer Software, 201-500 employees

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data storage
data manipulation
data definitions
data reliability

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John Spies

Database Administrator

RewardsLive.comInternet, 51-200 employees

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Cons

I find most of the functions user friendly and most importantly best fits in multi business setup and users easily adapt to the system. Also, you get a lot done in a very short period of time.

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Verified User

Director in Professional Services

Executive Office Company, 11-50 employees

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Cloud readiness.
Ease of implementation.

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Gene Baker

Vice President, Chief Architect, Development Manager and Software Engineer

WySTAR Global Retirement Solutions, a Wells Fargo CompanyFinancial Services, 10,001+ employees

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Pricing Details

General

Free Trial

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Free/Freemium Version

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Premium Consulting/Integration Services

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Entry-level set up fee?

No

Starting Price

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General

Free Trial

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Free/Freemium Version

—

Premium Consulting/Integration Services

—

Entry-level set up fee?

No

Starting Price

—

Usability

No score

No answers yet

No answers on this topic

Db2 Big SQL 8.0

Based on 1 answer

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.

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John Spies

Database Administrator

RewardsLive.comInternet, 51-200 employees

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Support Rating

No score

No answers yet

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Db2 Big SQL 8.8

Based on 4 answers

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!

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Gene Baker

Vice President, Chief Architect, Development Manager and Software Engineer

WySTAR Global Retirement Solutions, a Wells Fargo CompanyFinancial Services, 10,001+ employees

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Alternatives Considered

IBM Analytics is a great tool and a welcome addition to your overall IBM strategy. I think in cases of tools like this, you either go with what your platform works best with or you go completely different with a 3rd party, like Snowflake. We are an Azure shop and just happened to have a division on IBM and wanted to give it a try. Performance-wise it stacks up against the other platform-specific tools, so you should feel comfortable when your data strategy tips in favor of needing more organization.

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Verified User

Manager in Finance and Accounting

Consumer Goods Company, 10,001+ employees

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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.

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Gene Baker

Vice President, Chief Architect, Development Manager and Software Engineer

WySTAR Global Retirement Solutions, a Wells Fargo CompanyFinancial Services, 10,001+ employees

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Return on Investment

The cost to implement was definitely a plus when it came to choosing the IBM Analytics Engine.
While sufficient, the overall support received from IBM was less than that for which we had planned.
We were able to separate storage and computing while paving the way for easier cluster administration.

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Verified User

Consultant in Information Technology

Information Technology and Services Company, 51-200 employees

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better data visibility
solid reliability for mission critical data

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John Spies

Database Administrator

RewardsLive.comInternet, 51-200 employees

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IBM Analytics Engine vs Db2 Big SQL