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 most valuable features are the ease of application and the merging of data."
"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 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."
"It can scale horizontally, and we are looking to expand our capacity."
"It is pretty stable."
"I have found the views to be very valuable."
"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."
"It facilitates the generation of heatmaps for graphical data analysis."
"It's easy to add and remove things in MongoDB. You can alter the tables. MongoDB is faster at reading, slower at writings."
"It has visible benefits, actually, in terms of price of ownership if you compare it to, for example, Oracle."
"The initial setup isn't really that complex."
"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 solution's most important aspect is its seamless database."
"Its flexibility, and cost. It is reasonably priced."
"It can handle a lot of files quickly."
"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 is very difficult to load the backup of the older version to the newer version."
"Couchbase could improve the design of the UI because it should be optimized for viewing statistics or a similar feature."
"Needs some capacity planning to deal with too much memory, CPUs and displays."
"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."
"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 tried multiple libraries in a demo they provide and it works fine, but when it merges with libraries, it creates a problem."
"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."
"Data encryption is possible using third-party tools but they should have their own encryption capability built-in to this solution."
"People coming from RDBMS should have the flexibility to write queries in SQL that can be converted into JSON queries."
"MongoDB should incorporate more features, particularly search functionality, and real-time communication capabilities, to improve the database and provide data listening services. Currently, we rely on the Atlas offering, but it would be fantastic if MongoDB could develop a new solution or updated version that includes these features within its internal database and driver. However, I am uncertain if this would be a viable or profitable move for them, and I am speaking from a mobile-centric viewpoint."
"I think that MongoDB's search engine should be improved."
"The performance could be faster."
"The scalability of the solution has room for improvement."
"More stable indexes would be helpful in a future release. That's been an issue for some time. I don't know if it's been fixed now but we transitioned to it because we needed a search index to be able to search for things and if that goes or starts disappearing, we have to move away from that solution. I don't know if they fixed it, last time I had this issue was three years ago so they might have solved it."
"Enhancing the documentation to make it more beginner-friendly is crucial."
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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