![]() Cassandra uses Cassandra Query Language (CQL) for queries and data fetching. One needs to have knowledge of any of these platforms to query data objects. Options include the existing Mongo shell, Compass, Python, Java, Node.js, PHP, Perl, and Ruby. Support for QueriesĪs MongoDB is based on JSON-like documents, it offers a variety of choices for effective querying and data fetching. As a result, Cassandra provides 100% uptime. ![]() Failure of a single node does not cause any downtime because, in this architecture, the request is handled by the remaining nodes. Unlike MongoDB, Cassandra avoids using the master or primary replica concept. During the election process, write operations are not possible on the replica sets. The auto-election process takes approximately 10-40 seconds to go into effect. In case the master is unavailable, one of the slaves will be auto-elected as the new master. Read and write operations are performed on the primary replica. Figure 1 – Structure of a Column in Cassandra Database Data Replication and High Availability A column in a Cassandra database contains three fields: the name of the column or key, the value against the key, and a time stamp. Cassandra, on the other hand, is a columnar NoSQL database, storing data in columns instead of rows. These BSON documents are equivalent to a record in the RDBMS, where a table can be equated with the collection of documents. It stores data in BSON (Binary JSON) format documents which provides the flexibility to combine and insert multi-structured data without declaring the schema. MongoDB uses a document-oriented data model. If you are looking for a NoSQL database for your application, you should consider the below comparison between the two. Feature-set ComparisonĪlthough both Cassandra and MongoDB are types of NoSQL databases, they vary in terms of implementation and feature set. In July 2008, Facebook released Cassandra as an open-source project. They originally developed this NoSQL database for Facebook as an inbox search feature. Cassandra, however, was developed by Avinash Lakshman and Prashant Malik, two developers who work at Facebook. The final version of MongoDB was released in 2009. The company then known as 10gen began developing MongoDB in 2007. ![]() However, Cassandra and MongoDB are the most popular and are ranked among the top 10 databases according to the DB engine database popularity metric. There are plenty of NoSQL database options available in the market, including Cassandra, MongoDB, Hbase, CouchDB, Riak, Redis, and others. These days, NoSQL databases are used in some of the most data-heavy applications available, such as cloud-based solutions, e-commerce websites, and airlines’ management systems. ![]()
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