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.
"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."
"It is pretty stable."
"It is highly available for support and does not impact our operations significantly during failures."
"Sync Gateway is a great feature that supports the mobile application."
"It can scale horizontally, and we are looking to expand our capacity."
"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 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 most valuable feature is that you can store unstructured data, which is helpful when you don't know what the best structure should be and you cannot use a relational database because of that."
"The solution does not hold data in tabular format like SQL does but rather clusters data so that it can link on a large scale."
"MongoDB's best features are scalability, document management, and data security."
"It is a stable solution. Stability-wise, I rate the solution a nine out of ten...Overall, MongoDB has helped manage and analyze attachment data."
"I like that MongoDB has a free version. You can also buy the enterprise edition, which is cheaper than Oracle."
"The most valuable features of MongoDB are we have a lot of documentation and SQL-based applications that run on it."
"In our case, it is most important to have redundancy."
"like its performance and the stability. It's very stable and, performance-wise, it's really great."
"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."
"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."
"The performance could be quicker and better, especially in the querying process."
"We would like to have a better management of Kubernetes with the free, open source version of Couchbase. We don't have any major complaints other than that."
"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."
"The platform's grouping features need improvement."
"Couchbase could improve the design of the UI because it should be optimized for viewing statistics or a similar feature."
"From my point of view, they need a totally free IDE to work at high levels."
"I would like to see the scalability and security improved."
"MongoDB could improve by not having so many updates and different versions."
"Simplifying the aggregation framework would be an improvement."
"I feel that most people don't know a lot about MongoDB, so maybe they could add some more documentation and tutorials."
"MongoDB should better support small and medium companies. There are a lot of clients out there that are interested, however, they need something lighter and less complex and something not so expensive upfront."
"They could provide more documentation and examples for adding pipeline stages."
"The MongoDB documentation can be a little complicated sometimes."
Couchbase is ranked 2nd in NoSQL Databases with 11 reviews while MongoDB is ranked 1st in NoSQL Databases with 70 reviews. Couchbase is rated 8.0, 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.
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