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."
"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 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."
"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."
"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."
"I have found the views to be very valuable."
"MongoDB is simpler to learn and implement than traditional SQL solutions like MySQL."
"The installation is very easy to do and understand."
"I value the API integrations."
"MongoDB is easy to use."
"It is very easy to create a MongoDB cluster. You can deploy three nodes in one hour. You can do small configurations to enable routing. It is easy to implement."
"Easier to maintain the data with its document-based storage."
"MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial."
"I found that MongoDB is most valuable for storing school-related queries. It's also user-friendly, and I found no difficulty accessing it. Setting it up is easy too."
"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."
"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 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."
"Needs some capacity planning to deal with too much memory, CPUs and displays."
"The performance could be quicker and better, especially in the querying process."
"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."
"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."
"I have found the solution difficult to operate as an administrator."
"I suppose it could be a little more secure."
"You need integration with other tools to run the query in MongoDB."
"MongoDB can improve large-size video or media frame operations. There are a lot of customers who want to upload media frames and video games but there is some difficulty. In MongoDB, we are looking out for solutions that are for large-size media files that can be saved and navigated efficiently."
"I'd like to see an ID generator. It's very technical but I don't think it has one, so we have to go to great lengths to work around that."
"The stability could be improved."
"We'd like information about client onboarding experience and success stories. It would help to have something to show to internal stakeholders."
"It isn't easy to recognize entities with MongoDB."
Couchbase is ranked 2nd in NoSQL Databases with 10 reviews while MongoDB is ranked 1st in NoSQL Databases with 69 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, Oracle NoSQL, Cassandra and Oracle Berkeley DB. See our Couchbase vs. MongoDB report.
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