Qaiser ShakoorETL DeveloperDeveloper at PumaSight
Jorge OlmedoSoftware Developer at Empresa de Telecomunicaciones de Cuba
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The most valuable features are the ease of application and the merging of data."
"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."
"We haven't had any issues with stability."
"It's easy to add and remove things in MongoDB. You can alter the tables. MongoDB is faster at reading, slower at writings."
"We can define security rules at the database level or the cluster level to grant or deny access to particular users."
"The community is great if you have problem."
"MongoDB is extremely developer-friendly because when you are starting, there is very little time needed upfront in terms of planning."
"I find the integration with other tools very easy."
"The most valuable feature is the geometric information done with GeoJSON."
"MongoDB has a simple data-loading interface."
"I have tried multiple libraries in a demo they provide and it works fine, but when it merges with libraries, it creates a problem."
"It is very difficult to load the backup of the older version to the newer version."
"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 find it difficult to incorporate MongoDB in some projects."
"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."
"Data encryption is possible using third-party tools but they should have their own encryption capability built-in to this solution."
"You need integration with other tools to run the query in MongoDB."
"MongoDB should not be used for reporting, analytics, or number-crunching tasks."
"Simplifying the aggregation framework would be an improvement."
"There should be better integration with other databases."
"The performance can be improved."
"The price of this solution is better than some of the other competitors."
"We are using the Community Edition of MongoDB."
"It is rather expensive."
"MongoDB is an open-source solution."
"This is an open-source solution."
"We use the open-source version, which is available to use free of charge."
"I don't know, but I have heard from people who procure it that it is much cheaper than Oracle."
"MongoDB is not expensive."
"At the moment, all customers are using the community version."
Couchbase Server is a NoSQL database, which has become the de facto standard for building Systems of Engagement. It is designed with a distributed architecture for performance, scalability, and availability. It enables developers to build applications easier and faster by leveraging the power of SQL with the flexibility of JSON.
The new string, date, array, and JSON object functions that have been added to N1QL simplify data transformations and provide richer query expressions.
Faster queries in N1QL are the result of several query engine performance enhancements across many types of operations, including joins and index scans.
The most innovative enterprises are introducing NoSQL to replace or augment legacy databases, including Oracle and Microsoft SQL Server. With Couchbase Server, they get the best of both worlds – the powerful querying and enterprise features of a relational database, combined with the scalability, performance, and flexibility of a NoSQL database.
To make the transition easier, Couchbase Server provides many of the same features found in relational databases.
Couchbase is ranked 5th in NoSQL Databases with 3 reviews while MongoDB is ranked 1st in NoSQL Databases with 29 reviews. Couchbase is rated 9.0, while MongoDB is rated 8.2. The top reviewer of Couchbase writes "Good interface, dashboard, and analytics, and I have never needed anything else with it". On the other hand, the top reviewer of MongoDB writes "Good security, highly-available when installed in a cluster, and no schema is needed to store data". Couchbase is most compared with Cassandra, Apache HBase, Scylla, CouchDB and Cloudera Distribution for Hadoop, whereas MongoDB is most compared with InfluxDB, Scylla, Neo4j, Oracle NoSQL and Cloudera Distribution for Hadoop. 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.