Apache CouchDB vs. Redis Software

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
Redis Software
Score 8.3 out of 10
N/A
Redis is an open source in-memory data structure server and NoSQL database.N/A
Pricing
Apache CouchDBRedis Software
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
CouchDBRedis Software
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
Apache CouchDBRedis Software
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.
Redis Software
Chose Redis Software
Redis Software has a simpler data model than Aerospike.
Memcached doesn't provide any data structures.
Chose Redis Software
UI isn't that great compared to the other competitors.
The management of our memcached cluster was becoming pretty complicated as the application grew in size. Redis is a much better option compared to memcached.
Redis is bit unreliable compared to the alternative RabbitMQ …
Chose Redis Software
We divide projects between Redis and Elasticsearch Service. In some parts or modules one of these two databases fit better than the other.
Chose Redis Software
Alibaba Cloud Elastic Compute Service (ECS) and Amazon ElastiCache
Chose Redis Software
All are good products. MongoDB is a great NoSQL DB but didn't seem to have the high performance caching of Redis. Coherence and Xtreme Scale are expensive. In my opinion for our particular use case, Redis was the clear winner.
Chose Redis Software
Redis is faster, provides documents JSON-wise with the proper odule and it is far more stable than Mongodb (we had really bad experiences with Mongo, especially when ops tends to increase).
Chose Redis Software
DynamoDB is a fully managed key-value store by Amazon. It provides more powerful indexing to the tables, which certainly increases the performance if searching is what you need. However, it is also a lot more expensive to use compared to Redis. If your use case is more on the …
Chose Redis Software
We evaluated Oracle and at first it seems competitive but after the contract term pricing would jump. Heard this from business associates and online communities
Chose Redis Software
Microsoft SQL requires a lot of resources to run at its optimal performance level. Redis runs faster search queries at a reduced cost.
Chose Redis Software
ElastiCache also offers Redis, but it's quite cryptic and you have to pay for support separately (it's quite expensive as well). With Redis Enterprise we were able to set-up our cluster with constant support from their team, and we were even able to set-up a particular set of …
Chose Redis Software
We initially used Memcached for some of the caching and locking solutions we now use Redis for; we found that for the purposes of our system Memcache could not match up to Redis for performance. We also found Redis to be a bit more reliable, but that could have just been down …
Chose Redis Software
I can't evaluate. I didn't use them personally.
Chose Redis Software
We selected Redis over Memcached because Redis provided more client processing options and better server handling with its computations.
Chose Redis Software
We are big users of MySQL and PostgreSQL. We were looking at replacing our aging web page caching technology and found that we could do it in SQL, but there was a NoSQL movement happening at the time. We dabbled a bit in the NoSQL scene just to get an idea of what it was about …
Chose Redis Software
We initially tried ElastiCache with Redis hosting. While it did the job of running Redis, we still had to deal with server sizing. We switched to Redis Cloud since that had auto-scaling and easy to use tools.
Chose Redis Software
It's cheaper than Microsoft Azure offerings.
Chose Redis Software
We prefer DynamoDB whenever possible. We have more predictable performance at the tail end, better isolation and cheaper costs per GB of storage.
Chose Redis Software
Redshift has relatively high latency and thus produces unscalable solution.
Chose Redis Software
MemSQL is awesome and really fast, but extremely expensive.
Features
Apache CouchDBRedis Software
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Apache CouchDB
7.9
Ratings
11% below category average
Redis Software
8.6
Ratings
3% below category average
Performance8.00 Ratings9.00 Ratings
Availability8.50 Ratings7.00 Ratings
Concurrency8.50 Ratings9.00 Ratings
Security6.00 Ratings8.00 Ratings
Scalability8.00 Ratings9.00 Ratings
Data model flexibility7.00 Ratings9.00 Ratings
Deployment model flexibility9.00 Ratings9.00 Ratings
Best Alternatives
Apache CouchDBRedis Software
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 CouchDBRedis Software
Likelihood to Recommend
9.0
(0 ratings)
8.0
(0 ratings)
Likelihood to Renew
9.0
(0 ratings)
8.7
(0 ratings)
Usability
8.0
(0 ratings)
9.0
(0 ratings)
Support Rating
-
(0 ratings)
8.7
(0 ratings)
Implementation Rating
9.0
(0 ratings)
7.3
(0 ratings)
User Testimonials
Apache CouchDBRedis Software
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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Perfect solution for caching needs. If you have a bottleneck due to frequent data access to your database, then Redis can really help you by diverting those traffic away from your database. Its key/value pair structure also makes data lookup very efficient, providing excellent performance.
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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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  • Easy for developers to understand. Unlike Riak, which I've used in the past, it's fast without having to worry about eventual consistency.
  • Reliable. With a proper multi-node configuration, it can handle failover instantly.
  • Configurable. We primarily still use Memcache for caching but one of the teams uses Redis for both long-term storage and temporary expiry keys without taking on another external dependency.
  • Fast. We process tens of thousands of RPS and it doesn't skip a beat.
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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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  • Redis is super fast but it comes with a cost. Whole dataset resides in RAM. So it can be costly as primary memory is more costly, then secondary ones.
  • Persistence issues: To achieve it, Redis uses a memory dump to create a persistence snapshot, that's cool. But it requires some Linux Kernel tweaking to avoid performance degradation while the Redis server process is forking. This further causes latency.
  • Master-slave structure side effect: Master-slave architecture comes with its own side effects. Please note that there will be only one master with multiple slaves for replication. All writing goes to the master, which creates more load on the master node. So, when the master goes down, the whole architecture does.
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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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We will definitely continue using Redis because: 1. It is free and open source. 2. We already use it in so many applications, it will be hard for us to let go. 3. There isn't another competitive product that we know of that gives a better performance. 4. We never had any major issues with Redis, so no point turning our backs.
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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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It is quite simple to set up for the purpose of managing user sessions in the backend. It can be easily integrated with other products or technologies, such as Spring in Java. If you need to actually display the data stored in Redis in your application this is a bit difficult to understand initially but is possible.
Read full review
Support Rating
No answers on this topic
The support team has always been excellent in handling our mostly questions, rarely problems. They are responsive, find the solution and get us moving forward again. I have never had to escalate a case with them. They have always solved our problems in a very timely manner. I highly commend the support team.
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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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Whitelisting of the AWS lambda functions.
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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
Read full review
UI isn't that great compared to the other competitors. The management of our memcached cluster was becoming pretty complicated as the application grew in size. Redis is a much better option compared to memcached. Redis is bit unreliable compared to the alternative RabbitMQ especially when it needs to be integrated with Celery.
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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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  • Existing tools like Redisson that were built over Redis reduced dev time in solving challenging problems, which had a positive impact on ROI.
  • We initially misused Redis for persistent storage which had a negative impact on ROI because we were paying a lot for inactive users.
  • The increased performance we achieved using Redis in areas like locking helped us improve the performance of our system reducing the likelihood of system timeouts.
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ScreenShots

Redis Software Screenshots

Screenshot of Database configurationScreenshot of Database metricsScreenshot of DatabasesScreenshot of NodesScreenshot of Alerts