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240 Ratings
44 Ratings
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Score 8.3 out of 101
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Score 8.1 out of 101

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Likelihood to Recommend

Amazon Aurora

Many places where Aurora is well suited:
  • If you are trying to build a serverless backend.
  • Amazon hosted relational database service (RDS). So we do not have to manage the database maintenance.
  • Backup and archival can be done to AWS S3, which is very convenient.
  • It provides high performance and scalability.
  • It's very secure. You could use AWS Key management service (KMS) to encrypt and store data on AWS Aurora.
No photo available

MongoDB

If you are a small development company or don't have access to experienced DBA folks, MongoDB can be a good choice for the developer to take the data by the horns.MongoDB is easy to handle when it comes to migrations because of its schemaless nature.It can help you get to market faster because you're not spending a ton of time with dev ops and organizing data structures. You can iterate pretty easily. I would say it's a good choice for most web apps, but you might run into restrictions on certain data queries that MongoDB just can't do as efficiently as a relational database.It can also be hard for some folks coming from a relational data model background. The idea of denormalized or redundant data can feel dirty to some. But the speed and performance in development and execution appear to make up for those faults.
Joshua Weaver profile photo

Feature Rating Comparison

NoSQL Databases

Amazon Aurora
MongoDB
8.8
Performance
Amazon Aurora
MongoDB
8.9
Availability
Amazon Aurora
MongoDB
8.8
Concurrency
Amazon Aurora
MongoDB
8.5
Security
Amazon Aurora
MongoDB
8.4
Scalability
Amazon Aurora
MongoDB
8.8
Data model flexibility
Amazon Aurora
MongoDB
9.0
Deployment model flexibility
Amazon Aurora
MongoDB
9.0

Pros

  • Aurora is a relational database as a service on AWS which is MySQL and Postgres compatible. So if you are looking for a serverless option which going through need to host and manage a database then Aurora as a service is great.
  • It is a simple and cost-effective open source database which is much cheaper than a normal database cost. Hence very efficient for microservices database where you do not need one very large centralized database but many small databases that are available and low latency.
  • Aurora provides high performance and low latency. Last year they also announced multi-master in the same region and read replicas in multiple regions. This is very convenient if you are trying to design and build a highly reliable application.
No photo available
  • As a software architect, I like the ease with which MongoDB avoids the typical "impedance mismatch" between traditional SQL and the object-oriented problem domain classes. MongoDB (via mongoid) in our Rails app is like a "hot knife through butter." It is much more akin to an OODBMS than anything else.
  • MongoDB is easy to use throughout product development as it is the "honey badger" of databases. As your product rapidly goes from idea to startup to scaling, MongoDB makes it easier than any SQL database I ever used. You spend more time building your solution, and less time worrying about feeding, nurturing, and migrating the SQL beast.
  • The ease with which you can spin up replica sets is amazing. No more excuses that you could not build a robust persistence layer. (Especially if you tack on services like MongoDB cloud offerings.)
  • I also take advantage of the geo-aware spatial indexing. To be able to geocode users, logins, problem domain classes (entities with an address), and do geo-aware queries -- like find me all of the X within Y miles of point Z. Booyah!
Jon Kern profile photo

Cons

  • Just like AWS DynamoDB which is a not a SQL solution and is truly a global DB, it would be great if AWS Aurora can become a global DB. What that means is that it is multi-region multi-master. That way writes to different regions of AWS would all be in sync and available in replicas on different regions.
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  • I love the idea of Map-Reduce native support in MongoDB. Admittedly I have not used it as much as I would like -- it always seems to trip me up.
  • Recent additions to the aggregation queries have helped reduce (no pun intended) my need to better wield the weapon that is Map-Reduce.
Jon Kern profile photo

Likelihood to Renew

No score
No answers yet
No answers on this topic
MongoDB8.6
Based on 47 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 profile photo

Usability

No score
No answers yet
No answers on this topic
MongoDB8.0
Based on 3 answers
I'm not a database expert by any means. But MongoDB has helped lower the barrier to entry in the world of full stack development. It has an expressive and easy to understand syntax and API. Additionally, their documentation is really quite detailed and easy to follow. Anyone with javascript experience should be able to work with it.
Joshua Weaver profile photo

Support

No score
No answers yet
No answers on this topic
MongoDB8.0
Based on 2 answers
I never had problems with the application. It complies with all the characteristics that the company specifies with this product.
Fernando Malave profile photo

Implementation

No score
No answers yet
No answers on this topic
MongoDB8.4
Based on 2 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.
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Alternatives Considered

Amazon Aurora is the open source AWS managed relational database service that is lesser in cost than AWS RDS.Both Postgres and MySQL are supported. Hence this is a cheaper and highly reliable service offered by AWS.If you are building applications on AWS then this should cater to all your needs for a relational database.
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I only briefly looked at CouchDB after I already began using MongoDB. Naturally, I have used many relational SQL databases.Since MongoDB did everything I needed, I saw no need to look around for alternatives.(Okay, full disclosure. I am an "association" vs "inheritance" object-oriented snob. In Rails, ActiveRecord implements persistence via inheritance for SQL databases. The MongoDB gems like mongoid and mongomapper add persistance via association. Boom!)
Jon Kern profile photo

Return on Investment

  • The costs of Aurora is 5x and 3x less than RDS MySql and Postgres on AWS. Hence tremendous cost savings.
  • Bring up your database in a matter of minutes. This is very crucial for quick solutions on the cloud.
  • Best suited for serverless backend solutions for microservices.
  • Highly secure for banking applications with AWS KMS.
No photo available
  • The ease with which applications can transform data in far greater than before. Developer productivity and happiness has gone up.
  • The integration of applications with third party services has become super easy.
Daniele Graziani profile photo

Screenshots

Amazon Aurora

Pricing Details

Amazon Aurora

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

MongoDB

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