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What is the difference between hbase and mongodb and cassandra?


Asked by Scarlette Anderson on Dec 08, 2021 Cassandra



Another difference between HBase and MongoDB and Cassandra is that the HBase and Cassandra are column-oriented whereas the MongoDB is document oriented. HBase is written in Java while MongoDB is written in C, C++ and JavaScript and Cassandra is written in Java.
One may also ask,
Cassandra is designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure. 2. MongoDB : MongoDB is a cross-platform document-oriented and a non relational (i.e NoSQL) database program.
Consequently, HBase is an important part of HDFS and runs on top of the Hadoop Cluster. HBase is not a traditional relational database, it requires different data modeling approach. Cassandra works on the data replication model so in case of the unavailability of any node there will be no loss of data.
Keeping this in consideration,
HBase is used to store structured data. MongoDB is used to store any kind of data. It has distributed database. It has decentralized database. HBase is less complex than MongoDB. It is more complex than HBase. Attention reader! Don’t stop learning now.
In this manner,
Unlike Cassandra, you can nest key-value pairs as much as you want. JSON also supports arrays and understands different data types, such as strings, numbers and boolean values. Querying I believe column-family stores can only be queried by key, or by writing map-reduce functions. You cannot query the values like you would in an SQL database.