What users are saying about
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57 Ratings
185 Ratings

Amazon EMR

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57 Ratings
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Score 8.5 out of 100
185 Ratings
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Score 8.5 out of 100

Attribute Ratings

  • Amazon EMR (Elastic MapReduce) is rated higher in 1 area: Support Rating
  • Elasticsearch is rated higher in 2 areas: Likelihood to Recommend, Usability

Likelihood to Recommend

8.4

Amazon EMR

84%
20 Ratings
9.0

Elasticsearch

90%
46 Ratings

Likelihood to Renew

Amazon EMR

N/A
0 Ratings
10.0

Elasticsearch

100%
1 Rating

Usability

8.3

Amazon EMR

83%
3 Ratings
10.0

Elasticsearch

100%
1 Rating

Support Rating

9.0

Amazon EMR

90%
3 Ratings
7.8

Elasticsearch

78%
18 Ratings

Implementation Rating

Amazon EMR

N/A
0 Ratings
9.0

Elasticsearch

90%
2 Ratings

Likelihood to Recommend

Amazon EMR

We are running it to perform preparation which takes a few hours on EC2 to be running on a spark-based EMR cluster to total the preparation inside minutes rather than a few hours. Ease of utilization and capacity to select from either Hadoop or spark. Processing time diminishes from 5-8 hours to 25-30 minutes compared with the Ec2 occurrence and more in a few cases.
José David Rodríguez Gómez | TrustRadius Reviewer

Elasticsearch

Elasticsearch is a really scalable solution that can fit a lot of needs, but the bigger and/or those needs become, the more understanding & infrastructure you will need for your instance to be running correctly.Elasticsearch is not problem-free - you can get yourself in a lot of trouble if you are not following good practices and/or if are not managing the cluster correctly.Licensing is a big decision point here as Elasticsearch is a middleware component - be sure to read the licensing agreement of the version you want to try before you commit to it.Same goes for long-term support - be sure to keep yourself in the know for this aspect you may end up stuck with an unpatched version for years.
Borislav Traykov | TrustRadius Reviewer

Pros

Amazon EMR

  • Amazon Elastic MapReduce works well for managing analyses that use multiple tools, such as Hadoop and Spark. If it were not for the fact that we use multiple tools, there would be less need for MapReduce.
  • MapReduce is always on. I've never had a problem getting data analyses to run on the system. It's simple to set up data mining projects.
  • Amazon Elastic MapReduce has no problems dealing with very large data sets. It processes them just fine. With that said, the outputs don't come instantaneously. It takes time.
Thomas Young | TrustRadius Reviewer

Elasticsearch

  • As I mentioned before, Elasticsearch's flexible data model is unparalleled. You can nest fields as deeply as you want, have as many fields as you want, but whatever you want in those fields (as long as it stays the same type), and all of it will be searchable and you don't need to even declare a schema beforehand!
  • Elastic, the company behind Elasticsearch, is super strong financially and they have a great team of devs and product managers working on Elasticsearch. When I first started using ES 3 years ago, I was 90% impressed and knew it would be a good fit. 3 years later, I am 200% impressed and blown away by how far it has come and gotten even better. If there are features that are missing or you don't think it's fast enough right now, I bet it'll be suitable next year because the team behind it is so dang fast!
  • Elasticsearch is really, really stable. It takes a lot to bring down a cluster. It's self-balancing algorithms, leader-election system, self-healing properties are state of the art. We've never seen network failures or hard-drive corruption or CPU bugs bring down an ES cluster.
Anonymous | TrustRadius Reviewer

Cons

Amazon EMR

  • Sometimes bootstrapping certain tools comes with debugging costs. The tools provided by some of the enterprise editions are great compared to EMR.
  • Like some of the enterprise editions EMR does not provide on premises options.
  • No UI client for saving the workbooks or code snippets. Everything has to go through submitting process. Not really convenient for tracking the job as well.
Anonymous | TrustRadius Reviewer

Elasticsearch

  • Joining data requires duplicate de-normalized documents that make parent child relationships. It is hard and requires a lot of synchronizations
  • Tracking errors in the data in the logs can be hard, and sometimes recurring errors blow up the error logs
  • Schema changes require complete reindexing of an index
Keith Lubell | TrustRadius Reviewer

Pricing Details

Amazon EMR

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Starting Price

Amazon EMR Editions & Modules

Additional Pricing Details

Elasticsearch

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Starting Price

$0

Elasticsearch Editions & Modules

Edition
Standard$16.001
Gold$19.001
Platinum$22.001
EnterpriseContact Sales
  1. per month
  2. none
Additional Pricing Details

Likelihood to Renew

Amazon EMR

No score
No answers yet
No answers on this topic

Elasticsearch

Elasticsearch 10.0
Based on 1 answer
We're pretty heavily invested in ElasticSearch at this point, and there aren't any obvious negatives that would make us reconsider this decision.
Aaron Gussman | TrustRadius Reviewer

Usability

Amazon EMR

Amazon EMR 8.3
Based on 3 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

Elasticsearch

Elasticsearch 10.0
Based on 1 answer
To get started with Elasticsearch, you don't have to get very involved in configuring what really is an incredibly complex system under the hood. You simply install the package, run the service, and you're immediately able to begin using it. You don't need to learn any sort of query language to add data to Elasticsearch or perform some basic searching.If you're used to any sort of RESTful API, getting started with Elasticsearch is a breeze. If you've never interacted with a RESTful API directly, the journey may be a little more bumpy. Overall, though, it's incredibly simple to use for what it's doing under the covers.
Anonymous | TrustRadius Reviewer

Support Rating

Amazon EMR

Amazon EMR 9.0
Based on 3 answers
There's a vast group of trained and certified (by AWS) professionals ready to work for anyone that needs to implement, configure or fix EMR. There's also a great amount of documentation that is accessible to anyone who's trying to learn this. And there's also always the help of AWS itself. They have people ready to help you analyze your needs and then make a recommendation.
Nicolas Costa Ossa | TrustRadius Reviewer

Elasticsearch

Elasticsearch 7.8
Based on 18 answers
We've only used it as an opensource tooling. We did not purchase any additional support to roll out the elasticsearch software. When rolling out the application on our platform we've used the documentation which was available online. During our test phases we did not experience any bugs or issues so we did not rely on support at all.
Anonymous | TrustRadius Reviewer

Implementation Rating

Amazon EMR

No score
No answers yet
No answers on this topic

Elasticsearch

Elasticsearch 9.0
Based on 2 answers
Do not mix data and master roles. Dedicate at least 3 nodes just for Master
Anonymous | TrustRadius Reviewer

Alternatives Considered

Amazon EMR

Snowflake is a lot easier to get started with than the other options. Snowflake's data lake building capabilities are far more powerful. Although Amazon EMR isn't our first pick, we've had an excellent experience with EC2 and S3. Because of our current API interfaces, it made more sense for us to continue with Hadoop rather than explore other options.
Anonymous | TrustRadius Reviewer

Elasticsearch

As far as we are concerned, Elasticsearch is the gold standard and we have barely evaluated any alternatives. You could consider it an alternative to a relational or NoSQL database, so in cases where those suffice, you don't need Elasticsearch. But if you want powerful text-based search capabilities across large data sets, Elasticsearch is the way to go.
Anonymous | TrustRadius Reviewer

Return on Investment

Amazon EMR

  • Positive: Helped process the jobs amazingly fast.
  • Positive: Did not have to spend much time to learn the system, therefore, saving valuable research time.
  • Negative: Not flexible for some scenarios, like when some plugins are required, or when the project has to be moved in-house.
Anonymous | TrustRadius Reviewer

Elasticsearch

  • We have had great luck with implementing Elasticsearch for our search and analytics use cases.
  • While the operational burden is not minimal, operating a cluster of servers, using a custom query language, writing Elasticsearch-specific bulk insert code, the performance and the relative operational ease of Elasticsearch are unparalleled.
  • We've easily saved hundreds of thousands of dollars implementing Elasticsearch vs. RDBMS vs. other no-SQL solutions for our specific set of problems.
Anatoly Geyfman | TrustRadius Reviewer

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