Couchbase and MongoDB are two types of document-oriented NoSQL databases with flexible data models. Couchbase is widely used for web, mobile, and IoT applications. Like Couchbase, MongoDB is a general-purpose database, suitable for large enterprises, that can be used for a wide variety of use cases.
Whether it’s technical features, adoption and support, or cloud solutions, MongoDB is trusted by more organizations to run a wider range of applications than Couchbase for a number of key reasons.
Here’s a brief look at seven key feature differences between both databases.
Couchbase vs. MongoDB: More than NoSQL databases
Starting out as a key-value (k-v) store for simple caching workloads, Couchbase has evolved over the past few years to include support for indexing, text and vector search, and analytics.
However, this growth in functionality comes at a cost: an explosion in complexity for developers. Couchbase requires developers to learn four different, incompatible query languages. And, for ops teams that run Couchbase clusters, each node type introduces different hardware, scaling, and high-availability requirements to navigate.
As a result, organizations are more likely to use Couchbase as a memcached replacement, or as a simple session store (see Amadeus example below). Memcached is an open-source, in-memory key-value store, often used for short-term storage.
MongoDB, on the other hand, avoids this complexity with:
- A human-readable data model that resembles json documents. However, instead of handling JSON data, MongoDB operates and stores data in a more efficient format (BSON).
- A flexible schema that supports evolving data structures.
- Consistent secondary indexes.
- The rich, unified MongoDB Query Language.
- Built-in data replication strategies for high availability.
- Three sharding strategies (hash-based, range-based and zone-based) for efficient data retrieval on frequently accessed data.
- Zone-sharded deployments for data geolocation and efficient data distribution.
Couchbase Server vs. MongoDB Cluster Deployment
Both MongoDB and Couchbase support scaling horizontally. In MongoDB, this is done by sharding the collection across multiple nodes.
Couchbase is multi-dimensionally distributed because the individual services such as indexing, querying, and data storage can be scaled depending on which service has the increased demand. MongoDB is uniformly distributed, with data distributed evenly across shards and using the mongod and mongos services. Mongod manages the data, indexing, and queries on every node and/or shard. Mongos manages the querying process and merging of results from distributed nodes.
MongoDB = Developer Velocity
Developers want to work with MongoDB. A lot.
MongoDB was voted StackOverflow's most popular NoSQL database in 2024. In the same survey, Couchbase ranked as the sixth least popular database overall.
The results matter for a couple of reasons:
- Stack Overflow’s annual developer survey is the largest of its kind anywhere in the world. For the 2024 edition, the publication canvassed 65,000 developers from 186 countries.
Being at the bottom of the “most popular” list is a stark warning for IT and business decision makers looking at Couchbase.
We live in a “developer-defined economy,” where business success is tightly linked to how empowered developers at your organization are. Developers, hamstrung by tools they dislike, will hinder an organization's ability to innovate and compete.
A recent study by McKinsey takes this concept a step further. Ranking businesses on a “Developer Velocity Index (DVI),” McKinsey found that firms with a higher DVI score were more successful than their peers on a number of critical business measures, like revenue CAGR. The report concludes, “Our research shows that best-in-class tools are the top contributor to business success—enabling greater productivity, visibility, and coordination.”
The message is clear: If you’re an enterprise that wants to compete, don’t choose the database developers “dread” working with.
Innovators Choose MongoDB
It’s not just developers choosing MongoDB.
When faced with a decision between Couchbase and MongoDB, leading companies choose MongoDB.
According to Olaf Schnapauff, CTO of travel technology firm Amadeus, "Amadeus is using MongoDB as the Swiss army knife of NoSQL technology. We also use Couchbase as a key-value store and as a caching layer for large query volumes when the search is across only a few dimensions.”
Elsewhere, iconic computer game studio Sega selected MongoDB over Couchbase for its new mobile game development studio, Sega HARDlight, due to its ease of management and more mature support and tools.
For Jeremy Kelley, co-founder of SaaS provider Leveler.com, the move from Couchbase to MongoDB brought 30x higher performance and 3x lower development overhead.
“We started out with Couchbase. As many of our customers are field rather than office-based, I was attracted by its mobile capabilities. But it really didn’t work out for us.” According to Kelley, Couchbase was fast for simple key-value lookups (sound familiar?), but performance suffered when attempting anything more sophisticated.
The list goes on.
MongoDB Atlas vs. Couchbase Capella
More organizations are moving to the cloud, and more recently a multi-cloud model. Perhaps the starkest difference between MongoDB and Couchbase, therefore, is their respective cloud offerings.
MongoDB's fully managed DBaaS (Database as a Service), launched in 2016. Couchbase Capella (f.k.a. Couchbase Cloud) launched in June 2020.
MongoDB Atlas is available across all of the major cloud providers (AWS, Google Cloud, and Microsoft Azure) in over 125 regions around the world.
Couchbase Cloud, on the other hand, is only available in a limited number of AWS and Azure regions across North America, South America, Europe, and Asia Pacific. True multi-cloud support is also not available from Couchbase. How about a data lake equivalent? Nope. Put simply, if you're an enterprise deploying to the cloud, there's a clear choice. MongoDB Atlas is by far the more mature, powerful, and versatile offering.
Comparison Summary
To recap, MongoDB is:
- Developers’ most wanted database to work with.
- Preferred by customers for a wide range of tasks, with Couchbase regularly relegated to a simple key-value store or memcached replacement.
- The superior DBaaS cloud offering, with MongoDB Atlas leagues ahead of Couchbase Cloud.
With a rapidly growing customer base, a global presence—including more than half of the Fortune 100 companies—millions of downloads, a broad partner ecosystem, and a community of millions of developers and IT professionals engaging with MongoDB University, MongoDB is the most widely deployed NoSQL (non-tabular), document-based database in the market.