What users are saying about
44 Ratings
4 Ratings
44 Ratings
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Score 8.7 out of 100
4 Ratings
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Score 8.4 out of 100

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.
Thomas Young | TrustRadius Reviewer

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.
Gene Baker | TrustRadius Reviewer

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.
Nicolas Costa Ossa | TrustRadius Reviewer

Db2 Big SQL

  • data storage
  • data manipulation
  • data definitions
  • data reliability
John Spies | TrustRadius Reviewer

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.
Anonymous | TrustRadius Reviewer

Db2 Big SQL

  • Cloud readiness.
  • Ease of implementation.
Gene Baker | TrustRadius Reviewer

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.
Anonymous | TrustRadius Reviewer

Db2 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.
John Spies | TrustRadius Reviewer

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.
Anonymous | TrustRadius Reviewer

Db2 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!
Gene Baker | TrustRadius Reviewer

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.
Anonymous | TrustRadius Reviewer

Db2 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.
Gene Baker | TrustRadius Reviewer

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.
Anonymous | TrustRadius Reviewer

Db2 Big SQL

  • better data visibility
  • solid reliability for mission critical data
John Spies | TrustRadius Reviewer

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

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