What users are saying about
385 Ratings
268 Ratings
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Score 8.4 out of 100
385 Ratings
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Score 8.5 out of 100

Feature Set Ratings

    Platform-as-a-Service

    8.3

    AWS Elastic Beanstalk

    83%

    MongoDB

    Feature Set Not Supported
    N/A
    AWS Elastic Beanstalk ranks higher in 11/11 features

    Ease of building user interfaces

    9.3
    93%
    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

    8.6
    86%
    28 Ratings
    N/A
    0 Ratings

    Development environment replication

    8.3
    83%
    29 Ratings
    N/A
    0 Ratings

    Issue monitoring and notification

    7.6
    76%
    28 Ratings
    N/A
    0 Ratings

    Issue recovery

    8.5
    85%
    26 Ratings
    N/A
    0 Ratings

    Upgrades and platform fixes

    7.9
    79%
    27 Ratings
    N/A
    0 Ratings

    NoSQL Databases

    AWS Elastic Beanstalk

    Feature Set Not Supported
    N/A
    8.9

    MongoDB

    89%
    MongoDB ranks higher in 7/7 features

    Performance

    N/A
    0 Ratings
    9.1
    91%
    35 Ratings

    Availability

    N/A
    0 Ratings
    9.2
    92%
    35 Ratings

    Concurrency

    N/A
    0 Ratings
    8.1
    81%
    35 Ratings

    Security

    N/A
    0 Ratings
    8.6
    86%
    35 Ratings

    Scalability

    N/A
    0 Ratings
    9.6
    96%
    35 Ratings

    Data model flexibility

    N/A
    0 Ratings
    8.9
    89%
    35 Ratings

    Deployment model flexibility

    N/A
    0 Ratings
    9.1
    91%
    34 Ratings

    Attribute Ratings

    • MongoDB is rated higher in 5 areas: Likelihood to Recommend, Likelihood to Renew, Usability, Support Rating, Implementation Rating

    Likelihood to Recommend

    8.0

    AWS Elastic Beanstalk

    80%
    29 Ratings
    9.2

    MongoDB

    92%
    75 Ratings

    Likelihood to Renew

    7.9

    AWS Elastic Beanstalk

    79%
    2 Ratings
    9.9

    MongoDB

    99%
    67 Ratings

    Usability

    7.7

    AWS Elastic Beanstalk

    77%
    9 Ratings
    8.8

    MongoDB

    88%
    11 Ratings

    Availability

    AWS Elastic Beanstalk

    N/A
    0 Ratings
    9.0

    MongoDB

    90%
    2 Ratings

    Support Rating

    8.0

    AWS Elastic Beanstalk

    80%
    24 Ratings
    9.3

    MongoDB

    93%
    12 Ratings

    Implementation Rating

    7.0

    AWS Elastic Beanstalk

    70%
    4 Ratings
    8.4

    MongoDB

    84%
    4 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

    MongoDB

    MongoDB [is] great at storing JSON data grouped into "collections". In this format, you can store any JSON documents and conveniently categorize them by collections. The JSON document contained in MongoDB is called binary JSON or BSON and, like any other document in this format, is unstructured. Therefore, unlike traditional DBMS, any kind of data can be stored in collections, and this flexibility is combined with the horizontal scalability of the database. It should be noted that MongoDB does not have links between documents and “collections” (this is partially compensated by the Database Reference - links in the DBMS, but this does not completely solve the problem). As a result, a situation arises in which there is a certain set of data that is not related to other information in the database, and there is no way to combine data from different documents. In SQL systems, this would be an elementary task.
    Oleg Chumin | 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

    MongoDB

    • Being a JSON language optimizes the response time of a query, you can directly build a query logic from the same service
    • You can install a local, database-based environment rather than the non-relational real-time bases such a firebase does not allow, the local environment is paramount since you can work without relying on the internet.
    • Forming collections in Mango is relatively simple, you do not need to know of query to work with it, since it has a simple graphic environment that allows you to manage databases for those who are not experts in console management.
    Ronald Melendez | 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

    MongoDB

    • An aggregate pipeline can be a bit overwhelming as a newcomer.
    • There's still no real concept of joins with references/foreign keys, although the aggregate framework has a feature that is close.
    • Database management/dev ops can still be time-consuming if rolling your own deployments. (Thankfully there are plenty of providers like Compose or even MongoDB's own Atlas that helps take care of the nitty-gritty.
    Joshua Weaver | 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

    MongoDB

    General

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

    Starting Price

    MongoDB Editions & Modules

    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

    MongoDB

    MongoDB 9.9
    Based on 67 answers
    I am looking forward to increasing our SaaS subscriptions such that I get to experience global replica sets, working in reads from secondaries, and what not. Can't wait to be able to exploit some of the power that the "Big Boys" use MongoDB for.
    Jon Kern | 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

    MongoDB

    MongoDB 8.8
    Based on 11 answers
    NoSQL database systems such as MongoDB lack graphical interfaces by default and therefore to improve usability it is necessary to install third-party applications to see more visually the schemas and stored documents. In addition, these tools also allow us to visualize the commands to be executed for each operation.
    Jose Manuel Ortega | 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

    MongoDB

    MongoDB 9.3
    Based on 12 answers
    I have reached multiple times to the MongoDB community for the help and they have provided each and easy solution for every problem. Over the internet and on stack overflow many people responds over the challenges. Now this tool is very much used in every company and projects so internally many people are there to give a support.
    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

    MongoDB

    MongoDB 8.4
    Based on 4 answers
    While the setup and configuration of MongoDB is pretty straight forward, having a vendor that performs automatic backups and scales the cluster automatically is very convenient. If you do not have a system administrator or DBA familiar with MongoDB on hand, it's a very good idea to use a 3rd party vendor that specializes in MongoDB hosting. The value is very well worth it over hosting it yourself since the cost is often reasonable among providers.
    Tom Maiaroto | 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

    MongoDB

    MongoDB was the most full-featured NoSQL database we evaluated - that offered atomic transactions at a document level, built-in HA & DR, open source, robust queries, and enterprise level support.Other platforms had specific parts of what we were looking for - MongoDB had it all.
    Jeff Sherard | 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

    MongoDB

    • Much faster development time.
    • Price is fantastic compared to MSSQL when you consider OS costs and the entire package.
    • Only negative to me is the lack of DBA skills for it, due to it being a new player in the field. I feel like that will get better as time moves on however.
    Joshua Austill | TrustRadius Reviewer

    Screenshots

    AWS Elastic Beanstalk

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