What users are saying about
267 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>Score 8.4 out of 100
Based on 267 reviews and ratings
184 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>Score 8.5 out of 100
Based on 184 reviews and ratings
Feature Set Ratings
Platform-as-a-Service
8.3
AWS Elastic Beanstalk
83%
Elasticsearch
Feature Set Not Supported
N/A
AWS Elastic Beanstalk ranks higher in 11/11 features
AWS Elastic Beanstalk ranks higher in 11/11 features
Ease of building user interfaces
9.2
92%
18 Ratings
N/A
0 Ratings
Scalability
8.9
89%
29 Ratings
N/A
0 Ratings
Platform management overhead
8.9
89%
28 Ratings
N/A
0 Ratings
Workflow engine capability
8.9
89%
23 Ratings
N/A
0 Ratings
Platform access control
7.3
73%
28 Ratings
N/A
0 Ratings
Services-enabled integration
6.8
68%
28 Ratings
N/A
0 Ratings
Development environment creation
8.7
87%
28 Ratings
N/A
0 Ratings
Development environment replication
8.3
83%
29 Ratings
N/A
0 Ratings
Issue monitoring and notification
7.7
77%
28 Ratings
N/A
0 Ratings
Issue recovery
8.4
84%
26 Ratings
N/A
0 Ratings
Upgrades and platform fixes
7.9
79%
27 Ratings
N/A
0 Ratings
Attribute Ratings
- AWS Elastic Beanstalk is rated higher in 1 area: Support Rating
- Elasticsearch is rated higher in 4 areas: Likelihood to Recommend, Likelihood to Renew, Usability, Implementation Rating
Likelihood to Recommend
8.0
AWS Elastic Beanstalk
80%
29 Ratings
9.0
Elasticsearch
90%
46 Ratings
Likelihood to Renew
7.9
AWS Elastic Beanstalk
79%
2 Ratings
10.0
Elasticsearch
100%
1 Rating
Usability
7.7
AWS Elastic Beanstalk
77%
9 Ratings
10.0
Elasticsearch
100%
1 Rating
Support Rating
8.0
AWS Elastic Beanstalk
80%
24 Ratings
7.8
Elasticsearch
78%
18 Ratings
Implementation Rating
7.0
AWS Elastic Beanstalk
70%
4 Ratings
9.0
Elasticsearch
90%
2 Ratings
Likelihood to Recommend
AWS Elastic Beanstalk
AWS Elastic Beanstalk is well suited for [the] rapid development of applications that use standard compute platforms based on popular programming languages. So getting a Go, Python, Ruby, or Node.js app going in AWS Elastic Beanstalk will be easy. For non-standard applications, containers provide another option for using AWS Elastic Beanstalk. In either case, AWS Elastic Beanstalk is well suited for applications that are [self-contained]. AWS Elastic Beanstalk is also good for development or test environments that need a built-in deployment method.AWS Elastic Beanstalk is less appropriate for complex applications that rely on multiple AWS services. While deploying and running the base code might be easy to get going, it may be difficult to apply permissions and integrations with the other services.
Senior Systems Reliability Engineer
The Walt Disney CompanyEntertainment, 10,001+ employees
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.
DevOps Team Leader
CognyteInformation Technology & Services, 1001-5000 employees
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.
Analista de Proyectos
Cyberline SRLTelecommunications, 51-200 employees
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.

Verified User
Engineer in Engineering
Internet Company, 201-500 employeesCons
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.
Director of Engineering
NorthOutComputer Software, 51-200 employees
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
Chief Technology Officer
Berkery, Noyes & Co., LLCFinancial Services, 51-200 employees
Pricing Details
AWS Elastic Beanstalk
General
Free Trial
—Free/Freemium Version
Yes
Premium Consulting/Integration Services
—Entry-level set up fee?
No
Starting Price
$35 per month
AWS Elastic Beanstalk Editions & Modules
Edition
No Charge | $01 |
---|
- 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
Starting Price
$0
Elasticsearch Editions & Modules
Edition
Standard | $16.001 |
---|---|
Gold | $19.001 |
Platinum | $22.001 |
Enterprise | Contact Sales |
- per month
- none
Additional Pricing Details
—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.
Software Engineer
Capital OneInformation Technology and Services, 1-10 employees
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.
Senior Technologist
HumanGeoDefense & Space, 51-200 employees
Usability
AWS Elastic Beanstalk
AWS Elastic Beanstalk 7.7
Based on 9 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.

Verified User
Engineer in Information Technology
Insurance Company, 10,001+ employeesElasticsearch
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.

Verified User
Vice-President in Information Technology
Computer Software Company, 1-10 employeesSupport Rating
AWS Elastic Beanstalk
AWS Elastic Beanstalk 8.0
Based on 24 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.

Verified User
Consultant in Engineering
Computer & Network Security Company, 5001-10,000 employeesElasticsearch
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.

Verified User
Consultant in Information Technology
Information Technology & Services Company, 201-500 employeesImplementation Rating
AWS Elastic Beanstalk
AWS Elastic Beanstalk 7.0
Based on 4 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.
Software Engineer
Capital OneInformation Technology and Services, 1-10 employees
Elasticsearch
Elasticsearch 9.0
Based on 2 answers
Do not mix data and master roles. Dedicate at least 3 nodes just for Master

Verified User
Contributor in Information Technology
Pharmaceuticals Company, 51-200 employeesAlternatives Considered
AWS Elastic Beanstalk
AWS Elastic Beanstalk handles better in server autoscaling, load balancers,networking infrastructure for databases.It also helps in creating all of the architecture needed to run our apps and services.[AWS] Elastic Beanstalk also handles all of the provisioning, scaling, and implementation of the application stack unlike other competitors without a fuss.

Verified User
Team Lead in Information Technology
Financial Services Company, 51-200 employeesElasticsearch
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.

Verified User
Engineer in Engineering
Health, Wellness and Fitness Company, 1-10 employeesReturn on Investment
AWS Elastic Beanstalk
- Greatly reduced time in setting up and deploying test environments has saved a lot of hours and money.
- Near-zero maintenance means that we don't spend any time tending to servers, the app containers just work.
- The initial learning curve is a little steep to get services hosted in Elastic Beanstalk talking to external services like Redis, MongoDB, etc; but once one understands the pattern, development is a breeze.
- The command line interface has enabled us to build many utility scripts that simplify our development workflow, thereby saving time.

Verified User
C-Level Executive in Information Technology
Computer Software Company, 1-10 employeesElasticsearch
- 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.
Founder & CEO
CarevoyanceHealth, Wellness and Fitness, 1-10 employees