Amazon DocumentDB (with MongoDB compatibility) vs. MongoDB

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon DocumentDB (with MongoDB compatibility)
Score 8.5 out of 10
N/A
Amazon DocumentDB (with MongoDB compatibility) is presented by the vendor as a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. As a document database, Amazon DocumentDB is designed to make it easy to store, query, and index JSON data.N/A
MongoDB
Score 8.6 out of 10
N/A
MongoDB is an open source document-oriented database system. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster.
$0
per month
Pricing
Amazon DocumentDB (with MongoDB compatibility)MongoDB
Editions & Modules
No answers on this topic
Shared
$0
per month
Serverless
$0.10million reads
million reads
Dedicated
$57
per month
Offerings
Pricing Offerings
Amazon DocumentDB (with MongoDB compatibility)MongoDB
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsFully managed, global cloud database on AWS, Azure, and GCP
More Pricing Information
Community Pulse
Amazon DocumentDB (with MongoDB compatibility)MongoDB
Features
Amazon DocumentDB (with MongoDB compatibility)MongoDB
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Amazon DocumentDB (with MongoDB compatibility)
-
Ratings
MongoDB
10.0
Ratings
12% above category average
Performance00 Ratings10.00 Ratings
Availability00 Ratings10.00 Ratings
Concurrency00 Ratings10.00 Ratings
Security00 Ratings10.00 Ratings
Scalability00 Ratings10.00 Ratings
Data model flexibility00 Ratings10.00 Ratings
Deployment model flexibility00 Ratings10.00 Ratings
Best Alternatives
Amazon DocumentDB (with MongoDB compatibility)MongoDB
Small Businesses
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon DocumentDB (with MongoDB compatibility)MongoDB
Likelihood to Recommend
8.0
(0 ratings)
10.0
(0 ratings)
Likelihood to Renew
-
(0 ratings)
10.0
(0 ratings)
Usability
-
(0 ratings)
10.0
(0 ratings)
Availability
-
(0 ratings)
9.0
(0 ratings)
Support Rating
-
(0 ratings)
9.6
(0 ratings)
Implementation Rating
-
(0 ratings)
8.4
(0 ratings)
User Testimonials
Amazon DocumentDB (with MongoDB compatibility)MongoDB
Likelihood to Recommend
AWS Document DB (with MongoDB compatibility) is well suited when for all the workloads due to its huge feature offerings which will reduce our operational overhead and due to that we can focus more on our WorkLoad rather than optimising and fine tuning Databases. Its Offerings are Advanced Monitoring, DB cluster Upgrades, Migration Assistant, High Availability, Fault Tolerance, Data Durability, Security, Storage Auto Scaling, Backup Restore policies.AWS Document DB (with MongoDB compatibility) some of the features that are there in some other services like MongoDB Atlas that offers vast amount of features plus Supports Multi Cloud while Deploying Database clusters, Immediate support to latest Mongo DB versions, Mobile & Edge Sync like Atlas Edge Sync, Freedom to choose Database deployment in Any top Public Cloud, Having more then 100 plus Monitoring and Telemetry metrics for index and schema recommendations, More Compatibility with MongoDB queries.
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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.
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Pros
  • Amazon DocumentDB (with MongoDB compatibility) provides Auto scaling of cluster as a by default functionality through this we can focus on more on our applications end
  • Through AWS Document DB without much operation overhead we can configure for Database's high availability, Durability, Backup Restores policies, Advanced Monitoring, Security Parameters.
  • Also they can provide us a Guide for Database Migration from any Supported Mongo DB vendor to AWS Document DB.
  • Via AWS Document DB query Logging ( Profiling ) we can fine tune our database queries and hence improving our END to END Customer Experience and Product Enhancements.
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  • Easy to learn. When I picked up MongoDB for the first time, I had little background in database management or modeling. If you have a background in javascript (and JSON)... then you can figure out how to use MongoDB pretty fast.
  • Fast performance.
  • It's relatively easy to set up in certain environments because there are lots of ready-made solutions out there.
  • There's a lot of support in the existing ecosystem for it —, especially in the node.js realm.
  • Query syntax is pretty simple to grasp and utilize.
  • Aggregate functions are powerful.
  • Scaling options.
  • Documentation is quite good and versioned for each release.
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Cons
  • Give support for Latest Mongo DB versions available in market
  • AWS Document DB is limited up to 32 shards per cluster and 2 shards per Document DB instance and all within single region
  • Start supporting more numbers of Rich data types
  • Should have access to MongoDB experts who throw light on Cutting edge mongoDB features and integration consulting.
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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.
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Likelihood to Renew
No answers on this topic
MongoDB is one of the most famous non-relational databases in the world, there are famous active projects that use this database. I think that the same company that develops the database gives you the online induction totally free is something that really is very positive. Accounts with a first-class support to be able to relate the correct implementation of the database, in addition to teaching you the best practices to optimize your projects, I believe that with this decision it is more than obvious which is the best decision at the time of seeing with which database to work.
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Usability
No answers on this topic
It is one of the reasons why we prefer it to store documents in a JSON-style format, to access the desired document very quickly regardless of its size, to be readable by human eyes, and to be easily scalable and manageable.
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Support Rating
No answers on this topic
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.
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Implementation Rating
No answers on this topic
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
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The environment I work in is somewhat unique in that we use both MySQL and MongoDB. However, each is used for specific purposes that the other is not well suited for. MongoDB is not a relational database like MySQL, so it serves as the perfect place to dump key bits of data for quick retrieval later. This is something we can't easily do with MySQL. On this smaller database, MongoDB also lets us retrieve data more quickly with its fast and efficient querying.
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Return on Investment
  • Great Customer Experience as DB queries are fine tuned
  • Less Operational Overhead to manage and take care of the Database
  • Automatic applying of Small patches
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  • We can make more open and flexible systems due to its easy adaptation to new evolutions in web applications.
  • In the latest versions it offers support for different transactions and we could carry out real tests related to the concurrency of the application.
  • MongoDB allows you to have distributed clusters, which improves the speed of the queries by reducing the latency that exists between the database cluster and the service that executes the query.
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ScreenShots

Amazon DocumentDB (with MongoDB compatibility) Screenshots

Screenshot of Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDBScreenshot of Creating an Amazon DocumentDB clusterScreenshot of Scaling Amazon DocumentDB

MongoDB Screenshots

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