We compared MongoDB and Couchbase based on our user's reviews in several parameters.
MongoDB is praised for its flexibility, scalability, and powerful query language, while Couchbase stands out for its high performance, ease of use, and seamless integration capabilities. MongoDB users appreciate its document-oriented data model and replication features, while Couchbase users value its robust querying and data handling abilities. Both offer positive customer service experiences and a good return on investment, but MongoDB users have concerns about performance optimization and data replication, while Couchbase users desire better scalability and documentation.
Features: MongoDB offers flexibility, scalability, efficient handling of large data, easy organization and retrieval, support for multiple data structures, powerful query language, and robust replication. Conversely, Couchbase excels in high performance, scalability, easy administration, robust querying, seamless integration, and flexible data handling.
Pricing and ROI: In terms of setup cost, there are some differences between MongoDB and Couchbase. Users have provided feedback on MongoDB regarding its pricing, setup cost, and licensing. On the other hand, based on user experiences, the pricing, setup cost, and licensing of Couchbase are considered reasonable and straightforward., Users have reported positive returns on investment for both MongoDB and Couchbase. However, Couchbase stands out with its ability to handle large amounts of data quickly and securely, as well as its robust features like caching, replication, and indexing that contribute to cost savings and improved productivity.
Room for Improvement: MongoDB could improve its performance optimization, data replication, query language flexibility, and ease of database management. On the other hand, Couchbase needs enhancement in performance, stability, scalability, documentation, and user-friendly support resources.
Deployment and customer support: Based on user reviews, MongoDB and Couchbase have varying feedback regarding the duration required to establish a new tech solution. Some MongoDB users mention separate timeframes for deployment and setup, while others consider them as the same period. Couchbase users also have varying durations for deployment and setup, emphasizing the importance of understanding the context in which these terms are used., MongoDB's customer service is highly praised for its timely and efficient assistance, knowledgeable and helpful responses, and effectiveness in resolving issues. Couchbase's customer service is also commended for prompt and helpful assistance, as well as its knowledgeable and responsive nature.
The summary above is based on 35 interviews we conducted recently with MongoDB and Couchbase users. To access the review's full transcripts, download our report.
"It can scale horizontally, and we are looking to expand our capacity."
"The most valuable feature of Couchbase is document indexing. It is better than MongoDB. Additionally, the solution is easy to use."
"It is pretty stable."
"The valuable features of Couchbase are the many documents and index types, and they made a lot of features available enabling us to use it as a complete solution for our needs."
"The most valuable features are the ease of application and the merging of data."
"The principal advantage of Couchbase is that we can have multiple database paradigms in the same product, without deploying multiple databases. We also like that it has lower latency, when compared to its competitor: Cassandra."
"I can input any kind of document into the solution and it is integrated using a dynamic API. This has been the most valuable aspect of using this solution."
"The whole stack is valuable, but the portion of the stack that we're finding really handy is the analytics engine because that allows us to take and pre-build views."
"MongoDB has a simple data-loading interface."
"MongoDB is simpler to learn and implement than traditional SQL solutions like MySQL."
"Sharding is an excellent feature of MongoDB."
"MongoDB is easy to use."
"The solution is user-friendly with a good object retrieval feature."
"I find the integration with other tools very easy."
"One of the most valuable features of MongoDB is it is Its open source."
"One of the first things I noticed when I had my first experience with MongoDB was how easy it was to use. I was expecting more difficulties or at least some challenges, but it was very, very easy to use. It's great technology, performs well, and is very convenient."
"It's easy to deploy. Where the challenge comes in is when you start putting data in, doing the indexes, and doing the integration with systems. Integration is one of their weakest points. Natively, there should be a wide range of integration options to be able to get data in."
"The scripting language for this solution could be improved. A big selling point is that they're like SQL server but there is still quite a lot of missing functionality."
"There are some limitations to the database. The SQL database cannot handle real-time processing for critical IoT scenarios. What we have to do is store our data into the database then code it out, this wastes a lot of time."
"Needs some capacity planning to deal with too much memory, CPUs and displays."
"The failover and failback could be a bit easier. When I looked at it last time, it had to be manually done. It also took over an hour for us to rebalance all the nodes."
"It is very difficult to load the backup of the older version to the newer version."
"One thing that could improved upon is the level of concurrency. The documentation for this solution could also be improved."
"I have tried multiple libraries in a demo they provide and it works fine, but when it merges with libraries, it creates a problem."
"The dashboard is an area of concern in the solution where improvements are required."
"The solution should more easily integrate with custom code."
"The transaction could use improvement. From MySQL, for example, you cannot create a transaction if you are reading and writing a document at the same time."
"The performance can be improved."
"I would like to see the scalability and security improved."
"The on-premises version of the solution is still pretty expensive, especially compared to the cloud version."
"We'd like information about client onboarding experience and success stories. It would help to have something to show to internal stakeholders."
"It would help if MongoDB offered a light solution for small projects."
Couchbase is ranked 2nd in NoSQL Databases with 10 reviews while MongoDB is ranked 1st in NoSQL Databases with 70 reviews. Couchbase is rated 8.2, while MongoDB is rated 8.2. The top reviewer of Couchbase writes "No SQL cloud based solution used to manage unstructured data and push out large volumes of metrics at a low latency". On the other hand, the top reviewer of MongoDB writes "Lightweight with good flexibility and very fast performance for searching data". Couchbase is most compared with Cassandra, ScyllaDB, CouchDB, Aerospike Database 7 and InfluxDB, whereas MongoDB is most compared with InfluxDB, ScyllaDB, Cassandra, Oracle NoSQL and Oracle Berkeley DB. See our Couchbase vs. MongoDB report.
See our list of best NoSQL Databases vendors.
We monitor all NoSQL Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.