What users are saying about
Top Rated
246 Ratings
Top Rated
154 Ratings
Top Rated
246 Ratings
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Score 8.5 out of 100
Top Rated
154 Ratings
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Score 8.6 out of 100

Likelihood to Recommend

AWS Elastic Beanstalk

With [AWS] Elastic Beanstalk, you can interact by using the Elastic Beanstalk console, the AWS Command Line Interface (AWS CLI), a high-level CLI designed specifically for Elastic Beanstalk. [AWS] Elastic Beanstalk can be deployed quickly and provides a lot of functionality that would otherwise take a longer time to set up and maintain
Anonymous | TrustRadius Reviewer

Elasticsearch

Elasticsearch's best use case is when you want to store loosely-structured data and be able to search for it near-instantly. And you want to do that in a highly tolerant distributed system. My company doesn't use it this way but I've heard of other companies using ES to store system logs. Another company uses it to store giant store-catalogs.
Anonymous | TrustRadius Reviewer

Feature Rating Comparison

Platform-as-a-Service

AWS Elastic Beanstalk
8.2
Elasticsearch
Ease of building user interfaces
AWS Elastic Beanstalk
8.4
Elasticsearch
Scalability
AWS Elastic Beanstalk
9.0
Elasticsearch
Platform management overhead
AWS Elastic Beanstalk
7.5
Elasticsearch
Workflow engine capability
AWS Elastic Beanstalk
8.5
Elasticsearch
Platform access control
AWS Elastic Beanstalk
8.0
Elasticsearch
Services-enabled integration
AWS Elastic Beanstalk
8.2
Elasticsearch
Development environment creation
AWS Elastic Beanstalk
8.7
Elasticsearch
Development environment replication
AWS Elastic Beanstalk
8.2
Elasticsearch
Issue monitoring and notification
AWS Elastic Beanstalk
7.7
Elasticsearch
Issue recovery
AWS Elastic Beanstalk
7.7
Elasticsearch
Upgrades and platform fixes
AWS Elastic Beanstalk
8.3
Elasticsearch

Pros

AWS Elastic Beanstalk

  • AWS Elastic Beanstalk was easy to implement, we only had to insert the application code to have it up and running in a few minutes. This helps us to launch company campaigns for different areas such as marketing, commercial and human resources.
  • It has a fast learning curve, since the training material of the platform is public on the manufacturer's portal, furthermore it is easy to interact and intuitive for developers.
  • The productivity of the equipment is optimized since they are not worrying about preparing the platform or infrastructure, they only have to attend to what is required by the application and its operation and this maintenance.
  • The indicators and metrics that it has, ensure that the application cannot be saturated and have a performance problem, with AWS Elastic Beanstalk the application can scale resources when needed automatically.
Diego Gamez | TrustRadius Reviewer

Elasticsearch

  • Super-fast search on millions of documents. We've got over 2 billion documents in our index and the retrieve speeds are still in the < 1-second range.
  • Analytics on top of your search. If you organize your data appropriately, Elasticsearch can serve as a distributed OLAP system
  • Elasticsearch is great for geographic data as well, including searching and filtering with geojson, and a variety of geospatial algorithms.
Anatoly Geyfman | TrustRadius Reviewer

Cons

AWS Elastic Beanstalk

  • Limited to the frameworks and configurations that AWS supports. There is no native way to use Elastic Beanstalk to deploy a Go application behind Nginx, for example.
  • It's not always clear what's changed on an underlying system when AWS updates an EB stack; the new version is announced, but AWS does not say what specifically changed in the underlying configuration. This can have unintended consequences and result in additional work in order to figure out what changes were made.
Joshua Dickson | TrustRadius Reviewer

Elasticsearch

  • Setting Java memory thresholds can be a pain for those not accustomed to things like Eden Space & Old Generation which can lead to over allocation, or more likely, under allocation. Apache Solr had a similar issue. It would be nice if the program would take an extra step and dogfood it's own advice by analyzing the system & processes to return a solid recommendation for that configuration. The proper configuration information is outlined in the documentation, it would be nice if that was automated.
  • The only health check that ElasticSearch reports back is a "red" status without any real solid information about what is going on, though its usually memory thresholds or disk I/O. I am currently on ElasticSearch 1.5 so that may have changed for newer versions. When the status goes "red", I as the administrator of the software, feel like I lose control of whats going on which should rarely happen. Something more verbose would eliminate that.
  • This is more of a critique of the ElasticStack in general. The whole top to bottom stack is starting to get feature creep with things that are better suited in other software and increasing the barrier for entry for people to get started with setting up a robust logging infrastructure. ElasticSearch as a storage search engine, is pretty streamlined, but I can see that the tools that comprise the ELK Stack are going to require a certification with constant study at some point. During major release for Logstash a while back, it literally took a month to learn a new language because Elastic completely changed the syntax. For a medium sized organization of only a couple of admins, that is a pretty high bar where time is money. They really should work on refining/automating the tools & search engine they have, instead of shoehorning/changing things on to an already rock solid foundation.
Colby Shores | TrustRadius Reviewer

Likelihood to Renew

AWS Elastic Beanstalk

AWS Elastic Beanstalk 7.9
Based on 2 answers
As our technology grows, it makes more sense to individually provision each server rather than have it done via beanstalk. There are several reasons to do so, which I cannot explain without further diving into the architecture itself, but I can tell you this. With automation, you also loose the flexibility to morph the system for your specific needs. So if you expect that in future you need more customization to your deployment process, then there is a good chance that you might try to do things individually rather than use an automation like beanstalk.
Rahul Chaudhary | TrustRadius Reviewer

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

AWS Elastic Beanstalk

AWS Elastic Beanstalk 7.6
Based on 10 answers
It is a great tool to manage your applications. You just need to write the codes, and after that with one click, your app will be online and accessible from the internet. That is a huge help for people who do not know about infrastructure or do not want to spend money on maintaining infrastructure.
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

AWS Elastic Beanstalk

AWS Elastic Beanstalk 7.6
Based on 19 answers
As I described earlier it has been really cost effective and really easy for fellow developers who don't want to waste weeks and weeks into learning and manually deploying stuff which basically takes month to create and go live with the Minimal viable product (MVP). With AWS Beanstalk within a week a developer can go live with the Minimal viable product easily.
Anonymous | TrustRadius Reviewer

Elasticsearch

Elasticsearch 7.5
Based on 12 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

AWS Elastic Beanstalk

AWS Elastic Beanstalk 7.0
Based on 2 answers
- Do as many experiments as you can before you commit on using beanstalk or other AWS features.- Keep future state in mind. Think through what comes next, and if that is technically possible to do so.- Always factor in cost in terms of scaling.- We learned a valuable lesson when we wanted to go multi-region, because then we realized many things needs to change in code. So if you plan on using this a lot, factor multiple regions.
Rahul Chaudhary | TrustRadius Reviewer

Elasticsearch

Elasticsearch 9.0
Based on 1 answer
Do not mix data and master roles. Dedicate at least 3 nodes just for Master
Anonymous | TrustRadius Reviewer

Alternatives Considered

AWS Elastic Beanstalk

We also use Heroku and it is a great platform for smaller projects and light Node.js services, but we have found that in terms of cost, the Elastic Beanstalk option is more affordable for the projects that we undertake. The fact that it sits inside of the greater AWS Cloud offering also compels us to use it, since integration is simpler.We have also evaluated Microsoft Azure and gave up trying to get an extremely basic implementation up and running after a few days of struggling with its mediocre user interface and constant issues with documentation being outdated. The authentication model is also badly broken and trying to manage resources is a pain. One cannot compare Azure with anything that Amazon has created in the cloud space since Azure really isn't a mature platform and we are always left wanting when we have to interface with it.
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

AWS Elastic Beanstalk

  • till now we had not Calculated ROI as the project is still evolving and we had to keep on changing the environment implementation
  • it meets our purpose of quick deployment as compared to on-premises deployment
  • till now we look good as we also controlled our expenses which increased suddenly in the middle of deployment activity
Sandeep Singh | TrustRadius Reviewer

Elasticsearch

  • Faster searches on our application have resulted in better usability and increased application use
  • Analytics dashboard has given our managers a better understanding of day-to-day activities
  • Being a backup data store, we need not touch SQL database while doing data dumps for local data science projects
Swastik Nath | TrustRadius Reviewer

Pricing Details

AWS Elastic Beanstalk

General

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

AWS Elastic Beanstalk Editions & Modules

Edition
No Charge$01
  1. Users pay for AWS resources (e.g. EC2, S3 buckets, etc.) used to store and run the application.
Additional Pricing Details

Elasticsearch

General

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

Elasticsearch Editions & Modules

Edition
Standard$16.001
Gold$19.001
Platinum$22.001
EnterpriseContact Sales
  1. per month
Additional Pricing Details

Rating Summary

Likelihood to Recommend

AWS Elastic Beanstalk
8.3
Elasticsearch
8.8

Likelihood to Renew

AWS Elastic Beanstalk
7.9
Elasticsearch
10.0

Usability

AWS Elastic Beanstalk
7.6
Elasticsearch
10.0

Support Rating

AWS Elastic Beanstalk
7.6
Elasticsearch
7.5

Implementation Rating

AWS Elastic Beanstalk
7.0
Elasticsearch
9.0

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