CouchDB

CouchDB

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Score 6.5 out of 100
Apache CouchDB

Overview

Recent Reviews

CouchDB Fanboy

10 out of 10
March 08, 2017
It is being used within all the mobile applications we develop where offline data is needed. The ability for CouchDB to sync is truly …
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CouchDB, our data frenemy

6 out of 10
May 17, 2016
I am using CouchDB as the main NoSQL information database server for our product, a globally used network testing and security product. …
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Chillaxin

9 out of 10
April 19, 2016
CouchDB was used for data replication across different audiences and when users were in offline mode (no/low internet). It was initially …
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Pricing

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What is CouchDB?

Apache CouchDB is an HTTP + JSON document database with Map Reduce views and bi-directional replication. The Couch Replication Protocol is implemented in a variety of projects and products that span computing environments from globally distributed server-clusters, over mobile phones to web browsers.

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  • No setup fee

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  • Premium Consulting / Integration Services

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Alternatives Pricing

What is IBM Cloudant?

Cloudant is an open source non-relational, distributed database service that requires zero-configuration. It's based on the Apache-backed CouchDB project and the creator of the open source BigCouch project. Cloudant's service provides integrated data management, search, and analytics engine designed…

What is Redis™*?

Redis is an open source in-memory data structure server and NoSQL database.

Features Scorecard

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Product Details

What is CouchDB?

Apache CouchDB is an HTTP + JSON document database with Map Reduce views and bi-directional replication. The Couch Replication Protocol is implemented in a variety of projects and products that span computing environments from globally distributed server-clusters, over mobile phones to web browsers.

CouchDB Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

Comparisons

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Reviews and Ratings

 (28)

Ratings

Reviews

(1-10 of 10)
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Score 10 out of 10
Vetted Review
Verified User
Review Source
Open Source, and freely able to install it on any OS you desire (the big 3, anyways) CouchDB was selected for that, it's early-adoption of JSON and its mobile-friendly environment. Also, I have used it off and on in various non-professional projects, and it was really one of the first exposure to databases in my career
Johanes Siregar | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
Compared to MongoDB, CouchDB's Map-Reduce paradigm poses a steeper learning curve for SQL users. However, CouchDB's master-master replication is an advantage of implementing a load-balanced solution.
Even though, currently, CouchDB has strong community support, as an open source software, there is no guarantee and no dedicated support. Compared to both DynamoDB and CosmosDB, backed by big names (Amazon and Microsoft respectively) behind them, they can certainly provide better support that definitely comes with a price.
March 31, 2017

CouchDB for analytics

Sean Lang | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
MongoDB and CouchDB are both document stores, but their concurrency models and ability to scale are very different. MongoDB cannot replicate / shard over unreliable links and network partitions have been the cause of data loss in the past. MongoDB has an easier query language that is only beginning to be emulated by the Mango query and index system in CouchDB 2.0. Also, MongoDB tends to have better documentation and its communication protocol is a bit more efficient than HTTP.
Dave Lundberg | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
It has been 5+ years since we chose CouchDB. We looked an MongoDB, Cassandra, and probably some others. At the end of the day, the performance, power potential, and simplicity of CouchDB made it a simple choice for our needs. No one should use just because we did. As I said early, make sure you understand your problems, and find the right solution.

Some random reading that might be useful:
http://www.julianbrowne.com/article/viewer/brewers-cap-theorem
https://www.couchbase.com/nosql-resources/why-nosql\
https://www.infoq.com/articles/cap-twelve-years-later-how-the-rules-have-changed


March 08, 2017

CouchDB Fanboy

LeVar Berry | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
We looked at MongoDB and Firebase. MongoDB gives us the best working db engine with a very intuitive design. However, it does not work as well offline. Firebase was extremely hard to create searching and indexing. Using a third-party to search didn't work for us or at least it was too hard for us to figure out. CouchDB was the best of all worlds. Even though it is not great at any one thing ... it is second place in every category which makes it the best all around. We can get to market faster which is the key driver.
Score 6 out of 10
Vetted Review
Verified User
Review Source
I have briefly used MongoDB in other products, and it proved that it had better integration capabilities with Ruby on Rails and node.js software platforms, more than CouchDB. But I never had the chance to actually replace CouchDB with MongoDB in the current product to see what improvements it could have made. But I expect API libraries support would be better.