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 main advantages were associated with it being a no SQL database. It helped us send out metrics or rewards to multiple players in our game at a very low latency."
"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 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."
"I have found the views to be very valuable."
"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."
"The most valuable features are the ease of application and the merging of data."
"One of the most valuable features is the ability to Text Search can be used anywhere and anytime."
"MongoDB is scalable and stable. The initial setup is very easy, and deployment and maintenance can be done by one person."
"MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial."
"The aggregation framework is really good, allowing a developer to build very complex queries."
"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."
"The most valuable feature is the geometric information done with GeoJSON."
"MongoDB's best features are scalability, document management, and data security."
"It stores historical data with ease. For example, if you are a healthcare member, then you will have multiple records of visits to the doctors. To store such data in Oracle Database, you have to create many records. You might also have duplication problems because your records are going in again and again, because of which the data warehouse and the maintenance cost will be huge. MongoDB is comparatively lightweight. It is a JSON extract. Once you define a schema and extract it, you can push all the relationships in any way you want. It is easier to define and get different types of transactions into MongoDB. It is also easier to set it up as compared to other solutions. MongoDB is a NoSQL database, which means it is a document DB in which you can store documents that you created in BSON. It is pretty fast in response. It is faster than relational databases because it does not define any primary keys, secondary keys, tertiary keys, and all those kinds of things."
"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."
"Needs some capacity planning to deal with too much memory, CPUs and displays."
"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."
"Couchbase could improve the design of the UI because it should be optimized for viewing statistics or a similar feature."
"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."
"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."
"I have tried multiple libraries in a demo they provide and it works fine, but when it merges with libraries, it creates a problem."
"I feel that most people don't know a lot about MongoDB, so maybe they could add some more documentation and tutorials."
"It would be good to have scalability for clusters. For example, if we have three clusters, we should be able to increase to five clusters if required. I am not sure if such a feature is currently there. I hope there is good documentation for this."
"MongoDB could improve by not having so many updates and different versions."
"MongoDB should be more stable, and support should be more efficient."
"The solution could have more integration."
"The solution can be a bit tough to set up if you don't have knowledge about how the database works."
"The scalability of the solution has room for improvement."
"The solution should more easily integrate with custom code."
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.
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