Apache CouchDB vs. Azure Cosmos DB

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
CouchDB
Score 6.0 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 6.8 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 CouchDB
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 …
Chose 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 …
Chose CouchDB
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 …
Chose CouchDB
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 …
Chose CouchDB
S3 blew this out of the water, we can get over 30 files a second, almost no failures, auto backed up, don't need our own server, and a much simpler interface with PHP Laravel.
Chose CouchDB
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 …
Chose CouchDB
Developing spring boot apps with Couchbase using Spring Data JPA really solves complexity of programming.
Chose CouchDB
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 …
Chose CouchDB
It stacks up well against Mongo DB. Mongo DB definitely has more marketing and developer and customer mindshare because it is so widely known.
Chose CouchDB
CouchbaseDB is essentially faster with more options but of course with a cost. Cloudant is the hosted option with a better security schema.
Azure Cosmos DB
Chose Azure Cosmos DB
Azure Cosmos DB for MongoDB is more affordable than many other solutions and works incredibly well if you're within the Azure ecosystem.
Chose Azure Cosmos DB
Because we often use Microsoft products for large corporate projects and other customer projects, and compatibility and integration are important to us, we used this platform, which in addition to very high security, has a very good response speed, also, building modern …
Chose Azure Cosmos DB
We evaluated Mongo DB and Amazon Redshift. In the end, we decided to have both Redshift and Cosmos but for different app stacks. For apps hosted on Azure, Cosmos plays a very important role. Also from a support standpoint, Microsoft offers very good service and an equally good …
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
Azure Cosmos DB is a fully managed NoSQL database & globally distributed NoSQL database service. Its very fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development DB platform compare to MongoDB.
Chose Azure Cosmos DB
Our development and administration teams are just more familiar with the Microsoft Stack, and there was very little additional knowledge required to put this into production.
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 …
Features
Apache CouchDBAzure Cosmos DB
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Apache CouchDB
7.9
Ratings
11% below category average
Azure Cosmos DB
9.9
Ratings
11% above category average
Performance8.00 Ratings10.00 Ratings
Availability8.50 Ratings10.00 Ratings
Concurrency8.50 Ratings10.00 Ratings
Security6.00 Ratings10.00 Ratings
Scalability8.00 Ratings10.00 Ratings
Data model flexibility7.00 Ratings9.00 Ratings
Deployment model flexibility9.00 Ratings10.00 Ratings
Best Alternatives
Apache CouchDBAzure Cosmos DB
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
Apache CouchDBAzure Cosmos DB
Likelihood to Recommend
9.0
(0 ratings)
10.0
(0 ratings)
Likelihood to Renew
9.0
(0 ratings)
7.6
(0 ratings)
Usability
8.0
(0 ratings)
8.8
(0 ratings)
Support Rating
-
(0 ratings)
9.2
(0 ratings)
Implementation Rating
9.0
(0 ratings)
-
(0 ratings)
User Testimonials
Apache CouchDBAzure Cosmos DB
Likelihood to Recommend
It's good as a general JSON document store and basic map/reduce system. For more specialized tasks like message queuing, graph traversal, streaming metrics aggregation, or arbitrary table joins, I'd recommend another database.
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NoSQL platforms are very useful when it comes to security, speed, accuracy, high accessibility with high read and write power. Everything is managed under the cloud and we have the various capabilities of Azure and support for Microsoft products with us. Flexibility in price and variety of features, as well as real-time results, are some of the popular [features] of this platform.
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Pros
  • Ease of install and setup.
  • Ease of syncing with another database. This was truly set it and forget it.
  • The REST API to read data. No additional drivers are needed to work with CouchDB.
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  • Turn-key geo-redundancy with multi-master writes is unprecedented and unparalleled in the industry!
  • Guaranteed low latency makes Cosmos DB an excellent fit for most of our performance-intensive situations.
  • The tunable consistency model simplifies so many challenges in distributed systems engineering that otherwise require advanced knowledge of computer science topics. I continue to be impressed at how Cosmos DB has abstracted away so much complexity.
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Cons
  • SUPER SLOW. We do tons of data and S3 and just using the file system were both way faster
  • Using views is too complex
  • Stores entire DB as 1 file, good luck when it becomes many TB
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  • When searching by default, it is case sensitive, which must be changed by default
  • In many ways, the price should be more flexible according to the requested facilities, because the price is very expensive for startup companies.
  • It is not fully compatible with most common Streaming Analytics tools applications and developers should be worked on it
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Likelihood to Renew
As a highly distributed database system, CouchDB naturally has strong high availability with traffic load-balancing capability. It is also easy to scale and replicate data in a cluster for redundancy. However, there is still some room for query performance improvement in the future.
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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
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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Like I said, Cosmos is the way to go. From all of the services that Azure has, Cosmos is very robust in terms of usability. It's ever-evolving and integrates with other applications seamlessly. The interface is pretty easy to understand. I implemented various solutions for my company and Cosmos was one of them.
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Support Rating
No answers on this topic
The support team is very responsive and we are generally satisfied with Microsoft support, in my opinion support team of a product and service is just as valuable as its quality and performance. Telephone answering, 24-hour hotline, email support and ticketing are excellent.
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Implementation Rating
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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No answers on this topic
Alternatives Considered
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
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Azure Cosmos DB for MongoDB is more affordable than many other solutions and works incredibly well if you're within the Azure ecosystem.
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Return on Investment
  • Biggest impact on our business has been that CouchDB has been pretty invisible from a cost or issues perspective. It just works.
  • We use the Apache releases, so it's free. Of course there is a cost to "free" - we have invested time to become fluent in using and understanding CouchDB. But we feel the investment was well worth the effort and we have a solid, fundamental technology to our products that "just works".
  • There are some things we do - SaaS vs self-hosting - that have probably been kept simple by using CouchDB. Overall, we are extremely happy with CouchDB.
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  • Expensive but works if your infra is on Azure data center.
  • No latency and nearly no downtime.
  • Takes time for end users to adapt.
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