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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    CouchDB

    Score6 out of 10
    N/AApache 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

    Couchbase

    Score8.6 out of 10
    N/ACouchbase is a distributed NoSQL database platform that combines a JSON document store with a high-performance In-Memory architecture. The solution is designed to support high-throughput applications by integrating multiple data services—including Key-Value, Full-Text Search (FTS), Vector Search, and Real-Time Analytics—within a single unified platform.N/A

    MongoDB

    Score8.8 out of 10
    N/AMongoDB is an open source document-oriented database system. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster.

    $0.10

    million reads

    Pricing
    CouchDBCouchbaseMongoDB
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Shared
    $0
    per month
    Serverless
    $0.10million reads
    million reads
    Dedicated
    $57
    per month
    Offerings
    Pricing Offerings
    CouchDBCouchbaseMongoDB
    Free Trial
    NoYesYes
    Free/Freemium Version
    NoYesYes
    Premium Consulting/Integration Services
    NoYesNo
    Entry-level Setup FeeNo setup feeOptionalNo setup fee
    Additional Details——Fully managed, global cloud database on AWS, Azure, and GCP
    More Pricing Information
    Community Pulse
    CouchDBCouchbaseMongoDB
    Considered Multiple Products
    Apache
    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 …
    Incentivized
    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 …
    Incentivized
    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 …
    Incentivized
    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 …
    Incentivized
    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 …
    Incentivized
    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 …
    Incentivized
    Chose CouchDB
    Developing spring boot apps with Couchbase using Spring Data JPA really solves complexity of programming.
    Incentivized
    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.
    Incentivized
    Couchbase
    Chose Couchbase
    We have good experiences with MongoDB, Elasticsearch, and today we expect to be able to improve our products with Couchbase and in the near future replace 2 products with 1, which will simplify our product architecture.
    Incentivized
    Chose Couchbase
    While considering NoSQL database options, we evaluated MongoDB and Couchbase. We decided to go with Couchbase as our dabatase of choice primarily because we had previous Couchbase experience within the team and we knew that this existing expertise could reduce the time needed …
    Incentivized
    Chose Couchbase
    Couchbase's server is more scalable than MongoDB, as MongoDB degrades its performance if the number of users grows. Also, Couchbase allows us to integrate more third-party applications, Couchbase’s query language extends ANSI SQL.
    Incentivized
    Chose Couchbase
    Couchbase has a database monitoring tool kit and performance-wise Couchbase is a step beyond MongoDB so we chose the Couchbase Database solution.
    Incentivized
    Chose Couchbase
    Couchbase is easier to use and higher performing than Mongo DB. We also evaluated MongoDB but decided to use Couchbase.
    Incentivized
    Chose Couchbase
    When we compare MongoDB with the Couchbase, Couchbase performance is higher than the MongoDB product so we purchased Couchbase as our database solution.
    Incentivized
    Chose Couchbase
    It is optimized for interactive applications
    Incentivized
    Chose Couchbase
    The project we are developing with Couchbase, was very inconsistent for few years of the beginning. We had to change data model multiple times. We knew this before starting the project. So we had to choose a NoSQL solution. We also wanted a syncing solution. After some research …
    Incentivized
    Chose Couchbase
    Couchbase was mainly selected because it provided professional support, which was mandatory. I did not participate in the technical decisions.
    Incentivized
    Chose Couchbase
    Ease of use and highly secure
    Incentivized
    Chose Couchbase
    Couchbase offers p2p sync and offline sync capabilities which gave an advantage over mongo. The sync has filter functions.
    Incentivized
    Chose Couchbase
    Couchbase is scalable and very secure. It also offers better features and is very capable.
    Incentivized
    Chose Couchbase
    Easy to deploy and manage. Clustering and replication is fairly simple and straightforward. According to developers, Couchbase scored higher points compared to the other products that we evaluated.
    Incentivized
    Chose Couchbase
    Experience with DataStax Cassandra was seamless, but the cost and effort to support it was not justified. Also commercial process experience with Couchbase was much better. ActiveSpaces is a good technology for big TIBCO shop, but keeping with the lifecycle of it is not easy. I …
    Incentivized
    Chose Couchbase
    None of the products mentioned above provided a seamless synchronization strategy that could be available on-premises at the time.
    Incentivized
    Chose Couchbase
    I'm not qualified enough to make a meaningful comparison, but 2 years after, I hear regularly about issues on Mongo from the other teams, especially on the SRE side. On our side, not much to say, except that it works. Ram, CPU, disk behave like expected. Same for bandwidth. …
    Incentivized
    Chose Couchbase
    • All the selected products above are free but don't have peer to peer syncing cloud to mobile.
    • The GUI for maintaining and clustering the DB is wonderful.
    • We can use community release for the mobile app.
    Incentivized
    Chose Couchbase
    All in only 1 product
    Incentivized
    Chose Couchbase
    Couchbase takes most of the best features of products such as Amazon Aurora, DynamoDB, Mongo DB, or Realm IO. It by the way might be lacking a good AWS strategy compared to other solutions. Couchbase has a great field for improvements in establishing specific deployment …
    Incentivized
    Chose Couchbase
    We looked at several different SQL and NoSQL systems. Most were either too expensive, didn't provide the needed functionality, or were too hard to use with the size of our team. We ultimately went with Couchbase because of its performance, horizontal scalability, and price.
    Incentivized
    Chose Couchbase
    Couchbase is faster.
    Incentivized
    Chose Couchbase
    Comparable but more costly. More features but not necessarily correlated to the price point.
    Incentivized
    Chose Couchbase
    I have used both for developing, but I feel Couchbase is more reliable.
    Incentivized
    Chose Couchbase
    Couchbase's product features and their reputation was the main reason.
    Incentivized
    MongoDB
    Chose MongoDB
    Both Couchbase and MongoDB are document-oriented NoSQL databases, so they have very similar features. While they do have some fundamental differences in terms of how they scale, shard, etc. the one key reason why we went with MongoDB is its availability and support from the …
    Incentivized
    Chose MongoDB
    MongoDB is probably the most famous NoSQL database of the moment. it has become one of the most promising startups. Some companies that currently use MongoDB are Foursquare or eBay. This type of database is designed to perform queries and aggregations on large amounts of data. …
    Incentivized
    Chose MongoDB
    SQL server is ancient, and Couchbase doesn't let you accomplish anything special--it's too basic, especially from a security standpoint.
    Incentivized
    Chose MongoDB
    I only briefly looked at CouchDB after I already began using MongoDB. Naturally, I have used many relational SQL databases.

    Since MongoDB did everything I needed, I saw no need to look around for alternatives.
    Incentivized
    Chose MongoDB
    MongoDB was the most full-featured NoSQL database we evaluated - that offered atomic transactions at a document level, built-in HA & DR, open source, robust queries, and enterprise level support.

    Other platforms had specific parts of what we were looking for - MongoDB had it all.
    Incentivized
    Chose MongoDB
    - Mongo had a query language
    - Mongo could be run easily on my laptop
    Incentivized
    Chose MongoDB
    MySQL is a great for querying related data, but it's unable to store structured data and has a fixed schema. Also SQL can be non-intuitive. DynamoDB, CouchDB and Redis all make querying the data quite difficult and lack important features. The problem CouchDB tries to solve is …
    Incentivized
    Chose MongoDB
    Cassandra: may be better for bigger use cases, in PB range, due to our use cases being slightly smaller, we did not need this, but we highly rely on efficient indexing, and low latency, which seemed to be better based on our testing in Mongodb.
    Couchbase Server: Document …
    Incentivized
    Chose MongoDB
    MongoDB provides better performance on a big database. If you prefer to define indexes rather than a map/reduce function, MongoDB is good for you. It's quick to start it up and very easy to learn, basically no entry barrier. MongoDB's community is very welcoming.
    Incentivized
    Chose MongoDB
    We chose MongoDB because it fit our specific use cases better than the other two NoSQL products that I've identified. There are some use cases where those products would be better. Be sure to use the right tool for the job, for us, it was MongoDB, for you it might not be.
    Incentivized
    Chose MongoDB
    Cassandra, CouchDB were master less technology platforms. MongoDB single master per shard is well suited for many business models
    Incentivized
    Key User Insights
    Would buy again
    No answers on this topic
    90%
    Would buy again
    27 Answers
    100%
    Would buy again
    12 Answers
    Delivers good value for the price
    No answers on this topic
    92%
    Delivers good value for the price
    22 Answers
    100%
    Delivers good value for the price
    12 Answers
    Happy with the feature set
    No answers on this topic
    93%
    Happy with the feature set
    28 Answers
    100%
    Happy with the feature set
    12 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    95%
    Lived up to sales and marketing promises
    19 Answers
    100%
    Lived up to sales and marketing promises
    9 Answers
    Implementation went as expected
    No answers on this topic
    83%
    Implementation went as expected
    20 Answers
    100%
    Implementation went as expected
    12 Answers
    Features
    CouchDBCouchbaseMongoDB
    NoSQL Databases
    Comparison of NoSQL Databases features of Apache CouchDB and Couchbase and MongoDB
    Feature
    Apache CouchDB
    7.9
    2 Ratings
    8% below category average
    Couchbase
    8.9
    97 Ratings
    4% above category average
    MongoDB
    10.0
    39 Ratings
    16% above category average
    Performance8.02 Ratings8.997 Ratings10.039 Ratings
    Availability8.52 Ratings9.496 Ratings10.039 Ratings
    Concurrency8.52 Ratings8.994 Ratings10.039 Ratings
    Security6.02 Ratings9.094 Ratings10.039 Ratings
    Scalability8.02 Ratings9.495 Ratings10.039 Ratings
    Data model flexibility7.02 Ratings9.095 Ratings10.039 Ratings
    Deployment model flexibility9.02 Ratings8.094 Ratings10.038 Ratings
    Best Alternatives
    CouchDBCouchbaseMongoDB
    Small Businesses
    IBM Cloudant
    Score7.4 out of 10
    IBM Cloudant
    Score7.4 out of 10
    IBM Cloudant
    Score7.4 out of 10
    Medium-sized Companies
    IBM Cloudant
    Score7.4 out of 10
    IBM Cloudant
    Score7.4 out of 10
    IBM Cloudant
    Score7.4 out of 10
    Enterprises
    IBM Cloudant
    Score7.4 out of 10
    IBM Cloudant
    Score7.4 out of 10
    IBM Cloudant
    Score7.4 out of 10
    All AlternativesView all alternativesView all alternativesView all alternatives
    User Ratings
    CouchDBCouchbaseMongoDB
    Likelihood to Recommend
    9.0
    (10 ratings)
    8.8
    (100 ratings)
    10.0
    (79 ratings)
    Likelihood to Renew
    9.0
    (9 ratings)
    2.1
    (3 ratings)
    10.0
    (67 ratings)
    Usability
    8.0
    (1 ratings)
    8.0
    (1 ratings)
    10.0
    (15 ratings)
    Availability
    -
    (0 ratings)
    8.0
    (1 ratings)
    9.0
    (1 ratings)
    Performance
    -
    (0 ratings)
    9.3
    (95 ratings)
    -
    (0 ratings)
    Support Rating
    -
    (0 ratings)
    8.5
    (5 ratings)
    9.6
    (13 ratings)
    Implementation Rating
    9.0
    (1 ratings)
    -
    (0 ratings)
    8.4
    (2 ratings)
    Product Scalability
    -
    (0 ratings)
    7.0
    (52 ratings)
    -
    (0 ratings)
    User Testimonials
    CouchDBCouchbaseMongoDB
    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.
    Incentivized
    Read full review
    Couchbase
    Best suited when edge devices have interrupted internet connection. And Couchbase provides reliable data transfer. If used for attachment Couchbase has a very poor offering. A hard limit of 20 MB is not okay. They have the best conflict resolution but not so great query language on Couchbase lite.
    Incentivized
    Read full review
    MongoDB
    If asked by a colleague I would highly recommend MongoDB. MongoDB provides incredible flexibility and is quick and easy to set up. It also provides extensive documentation which is very useful for someone new to the tool. Though I've used it for years and still referenced the docs often. From my experience and the use cases I've worked on, I'd suggest using it anywhere that needs a fast, efficient storage space for non-relational data. If a relational database is needed then another tool would be more apt.
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    Couchbase
    • Couchbase performance is exceptional both for in-memory and persisted transactions.
    • Handling of node failures and cluster rebalancing (high availability).
    • Enterprise support from Couchbase themselves
    • Good documentation
    • Streaming of bucket (database) level mutations via their Database Change Protocol (DCP).
    • Replication of datasets between native clients and Couchbase buckets
    • Handling of simultaneous writes to the same record with performance penalties
    Incentivized
    Read full review
    MongoDB
    • Being a JSON language optimizes the response time of a query, you can directly build a query logic from the same service
    • You can install a local, database-based environment rather than the non-relational real-time bases such a firebase does not allow, the local environment is paramount since you can work without relying on the internet.
    • Forming collections in Mango is relatively simple, you do not need to know of query to work with it, since it has a simple graphic environment that allows you to manage databases for those who are not experts in console management.
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    Couchbase
    • The N1QL engine performs poorly compared to SQL engines due to the number of interactions needed, so if your use case involves the need for a lot of SQL-like query activity as opposed to the direct fetch of data in the form of a key/value map you may want to consider a RDBMS that has support for json data types so that you can more easily mix the use of relational and non-relational approaches to data access.
    • You have to be careful when using multiple capabilities (e.g. transactions with Sync Gateway) as you will typically run into problems where one technology may not operate correctly in combination with another.
    • There are quality problems with some newly released features, so be careful with being an early adopter unless you really need the capability. We somewhat desperately adopted the use of transactions, but went through multiple bughunt cycles with Couchbase working the kinks out.
    Incentivized
    Read full review
    MongoDB
    • An aggregate pipeline can be a bit overwhelming as a newcomer.
    • There's still no real concept of joins with references/foreign keys, although the aggregate framework has a feature that is close.
    • Database management/dev ops can still be time-consuming if rolling your own deployments. (Thankfully there are plenty of providers like Compose or even MongoDB's own Atlas that helps take care of the nitty-gritty.
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    Couchbase
    I rarely actually use Couchbase Server, I just stay up-to-date with the features that it provides. However, when the need arises for a NoSQL datastore, then I will strongly consider it as an option
    Incentivized
    Read full review
    MongoDB
    I am looking forward to increasing our SaaS subscriptions such that I get to experience global replica sets, working in reads from secondaries, and what not. Can't wait to be able to exploit some of the power that the "Big Boys" use MongoDB for.
    Incentivized
    Read full review
    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
    Incentivized
    Read full review
    Couchbase
    Couchbase has been quite a usable for our implementation. We had similar experience with our previous "trial" implementation, however it was short lived.
    Couchbase has so far exceeded expectation. Our implementation team is more confident than ever before.
    When we are Live for more than 6 months, I'm hoping to enhance this rating.
    Read full review
    MongoDB
    NoSQL database systems such as MongoDB lack graphical interfaces by default and therefore to improve usability it is necessary to install third-party applications to see more visually the schemas and stored documents. In addition, these tools also allow us to visualize the commands to be executed for each operation.
    Incentivized
    Read full review
    Performance
    Apache
    No answers on this topic
    Couchbase
    One of Couchbase’s greatest assets is its performance with large datasets. Properly set up with well-sized clusters, it is also highly reliable and scalable. User management could be better though, and security often feels like an afterthought. Couchbase has improved tremendously since we started using it, so I am sure that these issues will be ironed out.
    Incentivized
    Read full review
    MongoDB
    No answers on this topic
    Support Rating
    Apache
    No answers on this topic
    Couchbase
    I haven't had many opportunities to request support, I will look forward to better the rating. We have technical development and integration team who reach out directly to TAM at Couchbase.
    Read full review
    MongoDB
    Finding support from local companies can be difficult. There were times when the local company could not find a solution and we reached a solution by getting support globally. If a good local company is found, it will overcome all your problems with its global support.
    Incentivized
    Read full review
    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
    Incentivized
    Read full review
    Couchbase
    No answers on this topic
    MongoDB
    While the setup and configuration of MongoDB is pretty straight forward, having a vendor that performs automatic backups and scales the cluster automatically is very convenient. If you do not have a system administrator or DBA familiar with MongoDB on hand, it's a very good idea to use a 3rd party vendor that specializes in MongoDB hosting. The value is very well worth it over hosting it yourself since the cost is often reasonable among providers.
    Incentivized
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    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
    Incentivized
    Read full review
    Couchbase
    The Apache Cassandra was one type of product used in our company for a couple of use-cases. The Aerospike is something we [analyzed] not so long time ago as an interesting alternative, due to its performance characteristics. The Oracle Coherence was and is still being used for [the] distributed caching use-case, but it will be replaced eventually by Couchbase. Though each of these products [has] its own strengths and weaknesses, we prefer sticking to Couchbase because of [the] experience we have with this product and because it is cost-effective for our organization.
    Incentivized
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    MongoDB
    We have [measured] the speed in reading/write operations in high load and finally select the winner = MongoDBWe have [not] too much data but in case there will be 10 [times] more we need Cassandra. Cassandra's storage engine provides constant-time writes no matter how big your data set grows. For analytics, MongoDB provides a custom map/reduce implementation; Cassandra provides native Hadoop support.
    Read full review
    Scalability
    Apache
    No answers on this topic
    Couchbase
    So far, the way that we mange and upgrade our clusters has be very smooth. It works like a dream when we use it in concert with AWS and their EC2 machines. Having access to powerful instances along side the Couchbase interface is amazing and allows us to do rebalances or maintenance without a worry
    Incentivized
    Read full review
    MongoDB
    No answers on this topic
    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.
    Incentivized
    Read full review
    Couchbase
    • Great performance.
    • Leading Couchbase Lite capabilities for mobile use.
    • Developers' learning curve with replica reads and multi cluster can be long. Needs guidance and nurturing.
    • Cluster maintenance during OS patching, etc. has multiple ways to approach. Operational teams may need some guidance.
    Incentivized
    Read full review
    MongoDB
    • Open Source w/ reasonable support costs have a direct, positive impact on the ROI (we moved away from large, monolithic, locked in licensing models)
    • You do have to balance the necessary level of HA & DR with the number of servers required to scale up and scale out. Servers cost money - so DR & HR doesn't come for free (even though it's built into the architecture of MongoDB
    Read full review
    ScreenShots

    MongoDB Screenshots

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