Apache CouchDB vs. Azure Cosmos DB

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
CouchDB
Score 6.2 out of 10
N/A
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.N/A
Azure Cosmos DB
Score 8.0 out of 10
N/A
Microsoft Azure Cosmos DB is Microsoft's Big Data analysis platform. It is a NoSQL database service and is a replacement for the earlier DocumentDB NoSQL database.N/A
Pricing
Apache CouchDBAzure Cosmos DB
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
CouchDBAzure Cosmos DB
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
Apache CouchDBAzure Cosmos DB
Considered Both Products
CouchDB
Chose Apache CouchDB
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 …
Azure Cosmos DB
Chose Azure Cosmos DB
Azure Cosmos DB has the benefit of having multi-master key tenancy compared to Redis and Mongo. Reads are just as fast, if not faster than Mongo. However, the distribution of writes (i.e. ACID transactions) isn't as high as Google Cloud Spanner or CouchDB. Azure Cosmos DB …
Chose Azure Cosmos DB
Cosmos DB is unique in the industry as a true multi-model, cloud-native database engine that comes with solutions for geo-redundancy, multi-master writes, (globally!) low latency, and cost-effective hosting built in. I've yet to see anything else that even comes close to the …
Top Pros
Top Cons
Features
Apache CouchDBAzure Cosmos DB
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Apache CouchDB
7.9
2 Ratings
11% below category average
Azure Cosmos DB
9.9
7 Ratings
12% above category average
Performance8.02 Ratings10.07 Ratings
Availability8.52 Ratings10.07 Ratings
Concurrency8.52 Ratings10.07 Ratings
Security6.02 Ratings10.07 Ratings
Scalability8.02 Ratings10.07 Ratings
Data model flexibility7.02 Ratings9.07 Ratings
Deployment model flexibility9.02 Ratings10.07 Ratings
Best Alternatives
Apache CouchDBAzure Cosmos DB
Small Businesses
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache CouchDBAzure Cosmos DB
Likelihood to Recommend
9.0
(10 ratings)
10.0
(7 ratings)
Likelihood to Renew
9.0
(9 ratings)
7.6
(4 ratings)
Usability
8.0
(1 ratings)
8.8
(2 ratings)
Support Rating
-
(0 ratings)
9.2
(2 ratings)
Implementation Rating
9.0
(1 ratings)
-
(0 ratings)
User Testimonials
Apache CouchDBAzure Cosmos DB
Likelihood to Recommend
Apache
Great for REST API development, if you want a small, fast server that will send and receive JSON structures, CouchDB is hard to beat. Not great for enterprise-level relational database querying (no kidding). While by definition, document-oriented databases are not relational, porting or migrating from relational, and using CouchDB as a backend is probably not a wise move as it's reliable, but It may not always be highly available.
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Microsoft
Like any NoSQL database, whether it's MongoDB or not, it's best suited for unstructured data. It's also well suited for storing raw data before processing it and performing any type of ETL on the data.
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Pros
Apache
  • It can replicate and sync with web browsers via PouchDB. This lets you keep a synced copy of your database on the client-side, which offers much faster data access than continuous HTTP requests would allow, and enables offline usage.
  • Simple Map/Reduce support. The M/R system lets you process terabytes of documents in parallel, save the results, and only need to reprocess documents that have changed on subsequent updates. While not as powerful as Hadoop, it is an easy to use query system that's hard to screw up.
  • Sharding and Clustering support. As of CouchDB 2.0, it supports clustering and sharding of documents between instances without needing a load balancer to determine where requests should go.
  • Master to Master replication lets you clone, continuously backup, and listen for changes through the replication protocol, even over unreliable WAN links.
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Microsoft
  • Scalable Instantly and automatically serverless database for any large scale business.
  • Quick access and response to data queries due to high speed in reading and writing data
  • Create a powerful digital experience for your customers with real-time offers and agile access to DB with super-fast analysis and comparison for best recommendation
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Cons
Apache
  • NoSQL DB can become a challenge for seasoned RDBMS users.
  • The map-reduce paradigm can be very demanding for first-time users.
  • JSON format documents with Key-Value pairs are somewhat verbose and consume more storage.
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Microsoft
  • Expensive, so be careful of the use case.
  • We had a thought time migrating from traditional DBs to Cosmos. Azure should provide a seamless platform for the migration of data from on-premises to cloud.
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Likelihood to Renew
Apache
Because our current solution S3 is working great and CouchDB was a nightmare. The worst is that at first, it seemed fine until we filled it with tons of data and then started to create views and actually delete.
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Microsoft
It's efficient, easy to scale, and works. We do have to do a bit of administration, but less now than when we started with this a couple of years ago. Microsoft continues to improve its self-management capability.
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Usability
Apache
Couchdb is very simple to use and the features are also reduced but well implemented. In order to use it the way its designed, the ui is adequate and easy. Of course, there are some other task that can't be performed through the admin ui but the minimalistic design allows you to use external libraries to develop custom scripts
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Microsoft
It has very good compatibility and adaptability with other APIs and developers can safely create new apps because it is compatible with various tools and can be easily managed and run under the cloud, and in terms of security, it is one of the best of its kind, which is very powerful and excellent.
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Support Rating
Apache
No answers on this topic
Microsoft
Microsoft is the best when it comes to after-sales support. They have a well-structured training and knowledge base portal that anyone can use. They are usually quick to respond to cases and are on point for on-call support. I have no complaints from a support standpoint. Pretty happy with the support.
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Implementation Rating
Apache
it support is minimal also hw requirements. Also for development, we can have databases replicated everywhere and the replication is automagical. once you set up the security and the rules for replication, you are ready to go. The absence of a model let you build your app the way you want it
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Microsoft
No answers on this topic
Alternatives Considered
Apache
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
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Microsoft
Cosmos DB is unique in the industry as a true multi-model, cloud-native database engine that comes with solutions for geo-redundancy, multi-master writes, (globally!) low latency, and cost-effective hosting built in. I've yet to see anything else that even comes close to the power that Cosmos DB packs into its solution. The simplicity and tooling support are nice bonus features as well.
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Return on Investment
Apache
  • It has saved us hours and hours of coding.
  • It is has taught us a new way to look at things.
  • It has taught us patience as the first few weeks with CouchDB were not pleasant. It was not easy to pick up like MongoDB.
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Microsoft
  • It's made managing raw data much easier
  • It provides a way to maintain raw data at a low cost
  • It's easy to massage the data
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ScreenShots