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
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

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

    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.
    Michael Jenkins | 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

    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

    • 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

    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

    • 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

    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
    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

    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

    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 7.7
    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.
    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 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.
    Anonymous | 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

    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.
    Rahul Chaudhary | TrustRadius Reviewer

    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

    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.
    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

    • 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.
    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

    Add comparison