What users are saying about
268 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 268 reviews and ratings
385 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 385 reviews and ratings
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
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
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.
Senior Systems Reliability Engineer
The Walt Disney CompanyEntertainment, 10,001+ employees
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.
Java Software Engineer
EPAM AnywhereInformation Technology & Services, 10,001+ 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
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.
Desarrollador de software
Global ConsultingComputer Software, 51-200 employees
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.
Director of Engineering
NorthOutComputer Software, 51-200 employees
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.
Developer
By the Book, Inc (Software For Churches/NonProfits)Religious Institutions, 1-10 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
—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.
Software Engineer
Capital OneInformation Technology and Services, 1-10 employees
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.
Manager Strategic Products
Intelliquip, LLCComputer Software, 11-50 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+ employeesMongoDB
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.
Software Engineer && Security researcher
UA - Universidad de Alicante / Universitat d'AlacantComputer Software, 51-200 employees
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.

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

Verified User
Consultant in Information Technology
Outsourcing/Offshoring Company, 10,001+ 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
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.
Sr. Platform Developer / UX Designer / Optimization Engineer
FunnelEnvyMarketing and Advertising, 11-50 employees
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.

Verified User
Team Lead in Information Technology
Financial Services Company, 51-200 employeesMongoDB
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.
Senior Leader
GHXHospital & Health Care, 501-1000 employees
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.

Verified User
C-Level Executive in Information Technology
Computer Software Company, 1-10 employeesMongoDB
- 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.
Application Developer
North 40 Outfitters - CSWW, Inc.Retail, 501-1000 employees