Compare Couchbase vs. MongoDB

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Couchbase Logo
2,771 views|1,992 comparisons
MongoDB Logo
4,355 views|3,553 comparisons
Most Helpful Review
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Find out what your peers are saying about Cloudera Distribution for Hadoop vs. MongoDB and other solutions. Updated: July 2020.
431,275 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
It is pretty stable.It can scale horizontally, and we are looking to expand our capacity.

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MongoDB has a simple data-loading interface.The most valuable feature is the geometric information done with GeoJSON.I find the integration with other tools very easy.MongoDB is extremely developer-friendly because when you are starting, there is very little time needed upfront in terms of planning.The community is great if you have problem.We can define security rules at the database level or the cluster level to grant or deny access to particular users.It's easy to add and remove things in MongoDB. You can alter the tables. MongoDB is faster at reading, slower at writings.We haven't had any issues with stability.

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Cons
The failover and failback could be a bit easier. When I looked at it last time, it had to be manually done. It also took over an hour for us to rebalance all the nodes.The performance could be quicker and better, especially in the querying process.

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There should be better integration with other databases.Simplifying the aggregation framework would be an improvement.MongoDB should not be used for reporting, analytics, or number-crunching tasks.You need integration with other tools to run the query in MongoDB.Data encryption is possible using third-party tools but they should have their own encryption capability built-in to this solution.The transaction could use improvement. From MySQL, for example, you cannot create a transaction if you are reading and writing a document at the same time.We find it difficult to incorporate MongoDB in some projects.More stable indexes would be helpful in a future release. That's been an issue for some time. I don't know if it's been fixed now but we transitioned to it because we needed a search index to be able to search for things and if that goes or starts disappearing, we have to move away from that solution. I don't know if they fixed it, last time I had this issue was three years ago so they might have solved it.

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Pricing and Cost Advice
Information Not Available
This is an open-source solution.MongoDB is an open-source solution.It is rather expensive.We are using the Community Edition of MongoDB.

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431,275 professionals have used our research since 2012.
Ranking
5th
out of 16 in NoSQL Databases
Views
2,771
Comparisons
1,992
Reviews
1
Average Words per Review
376
Avg. Rating
8.0
1st
out of 16 in NoSQL Databases
Views
4,355
Comparisons
3,553
Reviews
10
Average Words per Review
596
Avg. Rating
7.9
Popular Comparisons
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Compared 5% of the time.
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Couchbase
MongoDB
Overview

Couchbase Server is a NoSQL database, which has become the de facto standard for building Systems of Engagement. It is designed with a distributed architecture for performance, scalability, and availability. It enables developers to build applications easier and faster by leveraging the power of SQL with the flexibility of JSON.

The new string, date, array, and JSON object functions that have been added to N1QL simplify data transformations and provide richer query expressions.

Faster queries in N1QL are the result of several query engine performance enhancements across many types of operations, including joins and index scans.

The most innovative enterprises are introducing NoSQL to replace or augment legacy databases, including Oracle and Microsoft SQL Server. With Couchbase Server, they get the best of both worlds – the powerful querying and enterprise features of a relational database, combined with the scalability, performance, and flexibility of a NoSQL database.

To make the transition easier, Couchbase Server provides many of the same features found in relational databases.



Open source database alternative to relational databases. It simplifies development and is extremely scalable.
Offer
Learn more about Couchbase
Learn more about MongoDB
Sample Customers
LinkedIn, Marriott, PayPalFacebook, MetLife, City of Chicago, Expedia, eBay, Google
Top Industries
VISITORS READING REVIEWS
Computer Software Company51%
Comms Service Provider20%
Media Company7%
Retailer5%
VISITORS READING REVIEWS
Computer Software Company35%
Comms Service Provider12%
Government8%
Insurance Company6%
Find out what your peers are saying about Cloudera Distribution for Hadoop vs. MongoDB and other solutions. Updated: July 2020.
431,275 professionals have used our research since 2012.
Couchbase is ranked 5th in NoSQL Databases with 1 review while MongoDB is ranked 1st in NoSQL Databases with 10 reviews. Couchbase is rated 8.0, while MongoDB is rated 8.0. The top reviewer of Couchbase writes "It can scale horizontally, and we are looking to expand our capacity". On the other hand, the top reviewer of MongoDB writes "Good security, highly-available when installed in a cluster, and no schema is needed to store data". Couchbase is most compared with Cassandra, CouchDB, Apache HBase, Oracle NoSQL and Cloudera Distribution for Hadoop, whereas MongoDB is most compared with InfluxDB, Scylla, CouchDB, Oracle NoSQL and MarkLogic.

See our list of best NoSQL Databases vendors.

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