What users are saying about
44 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener noreferrer'>trScore algorithm: Learn more.</a>Score 8.7 out of 100
Based on 44 reviews and ratings
4 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener noreferrer'>trScore algorithm: Learn more.</a>Score 8.4 out of 100
Based on 4 reviews and ratings
Likelihood to Recommend
Amazon EMR
Amazon Elastic MapReduce is useful in cases where two conditions are met. First, that you are planning on using multiple big data tools simultaneously to analyze big data sets. And second, that you need a tool that simplifies managing big data tools. If these two conditions are met, MapReduce does a great job. The user interface is simple. The program eliminates some programming requirements. The software also makes setting up big data analyses much easier. With these benefits acknowledged, MapReduce is not a good tool for "small" data analyses, given that there are other tools that do the job quicker and much more professional output. If you're on the fence, try out MapReduce with competing "small" data tools and see if you really need big data software.
Owner, previous CEO
Econometric StudiosFinancial Services, 11-50 employees
Db2 Big SQL
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.
Vice President, Chief Architect, Development Manager and Software Engineer
WySTAR Global Retirement Solutions, a Wells Fargo CompanyFinancial Services, 10,001+ employees
Pros
Amazon EMR
- Easier to implement than older on-premise solutions
- Works with open source technologies.
- Keeps processing cost low.
- It is flexible and works also for short term workloads and the pricing changes to that model.
Director of Customer Operations & Account Management
KoombeaInternet, 51-200 employees
Db2 Big SQL
- data storage
- data manipulation
- data definitions
- data reliability
Database Administrator
RewardsLive.comInternet, 51-200 employees
Cons
Amazon EMR
- It could have been more matured with machine learning capabilities.
- The support material available online on Elastic MapReduce is limited and we might end up spending more time in understanding/researching the tool.

Verified User
Analyst in Research & Development
Information Technology & Services Company, 1001-5000 employeesDb2 Big SQL
- Cloud readiness.
- Ease of implementation.
Vice President, Chief Architect, Development Manager and Software Engineer
WySTAR Global Retirement Solutions, a Wells Fargo CompanyFinancial Services, 10,001+ employees
Usability
Amazon EMR
Amazon EMR 8.2
Based on 4 answers
I give Amazon EMR this rating because while it is great at simplifying running big data frameworks, providing the Amazon EMR highlights, product details, and pricing information, and analyzing vast amounts of data, it can be run slow, freeze and glitch sometimes. So overall Amazon EMR is pretty good to use other than some basic issues.

Verified User
Team Lead in Information Technology
Information Technology & Services Company, 11-50 employeesDb2 Big SQL
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.
Database Administrator
RewardsLive.comInternet, 51-200 employees
Support Rating
Amazon EMR
Amazon EMR 9.3
Based on 4 answers
AWS and EMR support are on par with the best out there. You pay a premium for the support but they can save you time and money by quickly resolving issues or helping you get your problem taken care of. They are competing with Google and MS, and it shows in their support.

Verified User
Administrator in Information Technology
Government Administration Company, 501-1000 employeesDb2 Big SQL
Db2 Big SQL 8.7
Based on 2 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!
Vice President, Chief Architect, Development Manager and Software Engineer
WySTAR Global Retirement Solutions, a Wells Fargo CompanyFinancial Services, 10,001+ employees
Alternatives Considered
Amazon EMR
The alternatives to EMR are mainly hadoop distributions owned by the 3 companies above. I have not used the other distributions so it is difficult to comment, but the general tradeoff is, at the cost of a longer setup time and more infra management, you get more flexible versioning and potentially faster access to newer versions of some frameworks such as Spark.

Verified User
Director in Engineering
Computer Software Company, 10,001+ employeesDb2 Big SQL
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.
Vice President, Chief Architect, Development Manager and Software Engineer
WySTAR Global Retirement Solutions, a Wells Fargo CompanyFinancial Services, 10,001+ employees
Return on Investment
Amazon EMR
- It was obviously cheaper and convenient to use as most of our data processing and pipelines are on AWS. It was fast and readily available with a click and that saved a ton of time rather than having to figure out the down time of the cluster if its on premises.
- It saved time on processing chunks of big data which had to be processed in short period with minimal costs. EMR solved this as the cluster setup time and processing was simple, easy, cheap and fast.
- It had a negative impact as it was very difficult in submitting the test jobs as it lags a UI to submit spark code snippets.

Verified User
Engineer in Information Technology
Automotive Company, 1001-5000 employeesDb2 Big SQL
- better data visibility
- solid reliability for mission critical data
Database Administrator
RewardsLive.comInternet, 51-200 employees
Pricing Details
Amazon EMR
General
Free Trial
—Free/Freemium Version
—Premium Consulting/Integration Services
—Entry-level set up fee?
No
Db2 Big SQL
General
Free Trial
—Free/Freemium Version
—Premium Consulting/Integration Services
—Entry-level set up fee?
No