Is CouchDB any good?

Conclusion. CouchDB itself seems to be simple and easy to use document store. It offers a few very useful, out of the box features such as optimistic locking and easy replication. Since it uses only JSON and HTTP, it can be used directly from browser JavaScript.

What is Cassandra best for?

Why use Apache Cassandra – modernise your cloud Time-series data: Cassandra excels at storing time-series data, where old data does not need to be updated. Globally-distributed data: Geographically distributed data where a local Cassandra cluster can store data and then reach consistency at later points.

Is CouchDB better than MongoDB?

We have observed that MongoDB is slightly better than CouchDB as it uses the SQL-like structure of querying, and the same is easier in the former one. Also, for using dynamic queries, MongoDB is a far better choice.

Is Cassandra better than MySQl?

Cassandra is a NoSQL type database. MySql is a RDBMS type database. Read performance is highly efficient is Cassandra as it takes O(1) time. MySQl requires reading from multiple tables using JOIN.

Is CouchDB popular?

CouchDB is 39th and comes in as the fourth most popular document-oriented NoSQL database.

What is the advantage of CouchDB?

CouchDB offers us these features: Easy replication of a database across multiple server instances. Fast indexing and retrieval. REST-like interface for document insertion, updates, retrieval and deletion.

Who should use Cassandra?

If all your queries will be based on the same partition key, Cassandra is your best bet. If you get a query on an attribute that is not the partition key, Cassandra allows you to replicate the whole data with a new partition key. So now you have 2 replicas of the same data with 2 different partition keys.

Is Cassandra good for read?

Cassandra has an excellent single-row read performance as long as eventual consistency semantics are sufficient for the use-case. Cassandra quorum reads, which are required for strict consistency, will naturally be slower than Hbase reads. Cassandra is excellent for write operations but not so fast on read operations.

Is CouchDB still popular?

Does DynamoDB support CouchDB?

1 Answer. The most notable feature of CouchDB not supported by DynamoDB is the views (see here for a high-level description).

Is Cassandra good for searching?

Cassandra reads data pretty well. But it’s good at reading as long as you know the primary key of data you want. If you don’t, Cassandra will have to scan all nodes to find what you need, which will take a while. And if the latency threshold is exceeded, the scan will not be completed at all.

Why Cassandra is fast?

Major reason behind Cassandra’s extremely faster writes is its storage engine. Cassandra uses Log-structured merge trees, whereas traditional RDBMS uses B+ Trees as underlying data structure. If you notice “B”, you will find that Oracle just like MySQL has to read before write.

Which replication methods does CouchDB support in Cassandra?

Cassandra supports Selectable Replication Factor replication method. CouchDB supports Master-Slave Replication and Master-Master Replication replication methods. 8. Cassandra provides both Eventual Consistency and Immediate Consistency methods to ensure consistency in a distributed system.

What is Apache Cassandra?

Apache Cassandra is the leading NoSQL, distributed database management system, well… MongoDB’s application data platform provides developers a unified interface to power… No single point of failure ensures 100\% availability .

Does CouchDB support master slave replication?

CouchDB supports Master-Slave Replication and Master-Master Replication replication methods. 8. Cassandra provides both Eventual Consistency and Immediate Consistency methods to ensure consistency in a distributed system. CouchDB provides Eventual Consistency method to ensure consistency in a distributed system.

What is Apache CouchDB?

Apache CouchDB is an open-source document-oriented NoSQL database that uses multiple formats and protocols to store, transfer, and process its data, it uses JSON to store data, JavaScript as its query language using MapReduce, and HTTP for an API. It was developed by Apache Software Foundation and initially released in 2005.