Compare Couchbase vs. MongoDB

Couchbase is ranked 4th in NoSQL Databases with 1 review while MongoDB is ranked 2nd in NoSQL Databases with 3 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 "Scales well and is easy to replicate but needs more stable indexes". Couchbase is most compared with Cassandra, MongoDB and CouchDB, whereas MongoDB is most compared with InfluxDB, Scylla and Oracle NoSQL.
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Couchbase Logo
2,587 views|1,980 comparisons
MongoDB Logo
4,107 views|3,384 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: September 2019.
373,262 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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We haven't had any issues with stability.Scalability seems good. I've never been even close to finding the limits. I've run a couple of notes of redundancy but I've never had any problems with scalability.Easier to maintain the data with its document-based storage.The installation is very stable.

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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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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.The improvements could be made to intelligence to detect disk storage and prevent MongoDB from crashing.

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Ranking
4th
out of 14 in NoSQL Databases
Views
2,587
Comparisons
1,980
Reviews
1
Average Words per Review
376
Avg. Rating
8.0
2nd
out of 14 in NoSQL Databases
Views
4,107
Comparisons
3,384
Reviews
2
Average Words per Review
534
Avg. Rating
8.0
Top Comparisons
Compared 20% of the time.
Compared 20% of the time.
Compared 18% of the time.
Compared 14% of the time.
Compared 13% of the time.
Compared 12% 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.
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Sample Customers
LinkedIn, Marriott, PayPalFacebook, MetLife, City of Chicago, Expedia, eBay, Google
We monitor all NoSQL Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
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