Moreover, MongoDB does not require that all documents be the same in a given collection. One can also make schemas while one is pouring data into the database. It is flexible in that it gives the user a choice to introduce schemas or not. MongoDB doesn’t require schemas as mandatory. However, it does afford a level of flexibility by allowing the users to relocate columns within the column families. SchemaĪpache Cassandra demands that you define the schemas before you start adding data into the database. Some of these languages are C, C#, C++, JavaScript, PHP, Python, Scala, Perl, PowerShell, Ruby, Prolog, Haskell, Groovy, etc. MongoDB supports a wider variety of programming languages than Mongo does. Programming LanguagesĪpache Cassandra supports programming languages likes C#, C++, JavaScript, PHP, Python, Scala, Ruby, Perl, Go, etc. This database can store many types of data due to its flexible structure. In addition, MongoDB uses BSON, a binary format, to hold data in its system. These documents can contain nested data and are grouped in collections. In MongoDB, the data is stored in document form.

These identifiers are known as primary keys. Moreover, identifiers can be used to segregate the data. One can generate as many columns as needed within the rows.

Data Modelĭata is stored in a column tabular form in the Apache Cassandra database. Instead, it utilizes JSON fragments and a query API called MQL to support querying. MongoDB, contrary to that, does not support a query language. Although its syntax resembles SQL, both are not that similar. Query LanguageĪpache Cassandra uses a specific query language of its own called CQL (Cassandra Query Language). But this takes time and can cause unpleasant downtime. If the Master node goes down, another node is made the Master in the system. MongoDB database supports a Master-slave architecture, in which there is only one primary node, i.e., the Master. But it does not match the scalability of Cassandra. It also allows a large number of nodes to connect to the cluster. MongoDB, on the other hand, introduces increased data accessibility by ensuring load sharing both horizontally and vertically. In this way, by allowing multiple master nodes in the system, Cassandra provides matchless scalability to its users. Gossiping protocol means sharing updates and data. Also, different nodes in Apache Cassandra gossip with one other. If a node fails, the entire system does not come to a halt it keeps on functioning. You can connect as many nodes to the system as you like. Cassandra vs MongoDB Architecture & ScalabilityĬassandra database works according to a ring-based masterless replication model.