Best pgp application cassandra
Hadoop data is directly written in the data note, whereas Cassandra is first written in memory, and then in the disk. While Hadoop provides audit and access control, Cassandra has a commit log design that provides functions like backup and restores. If we draw our attention to data protection, then both technologies are best in their ways.
Data Compression and ProtectionĪt most, Hadoop can compress the data up to 15% while Cassandra can compress it up to 80%. In master-slave design, a slight fault can bring down the whole system while in distributed design, other nodes will take care of all the requests. Cassandra is always the first choice if the probability of fault occurrence is required to be low. Tolerance to FaultĪs mentioned prior, architectural design is highly responsible for the performance, and so are faults and failures. In the cluster, each node has the same role, unlike Hadoop, and the communication among those is in a peer-to-peer fashion.
While Hadoop is famous for master-slave architectural design ( Name Node is the master and Data Node is the slave), Cassandra works on distributed architectural design. The key difference lies in architecture, which affects the performance and speed. Read: Top Hadoop Project Ideas & Topics Architecture Formats SupportedĬasandra and Hadoop support all the formats, i.e., structured, semi-structured, unstructured, and images except, Cassandra does not support images. Hadoop focuses on CP, i.e., Consistency and Partition Tolerance while Cassandra follows AP or Availability with Partition Tolerance. Must Read: Hadoop Tutorial for Beginners Consistency, Availability, and Partition Tolerance (CAP)
#Best pgp application cassandra pro
Furthermore, both are PRO in the analysis of data generated through the online mode, like mobile or web, and can address online requests instantly. While Hadoop goes with batch processing, Cassandra is famous for real-time processing. They may appear similar, but they are two different entities serving different purposes. Hadoop is a Big Data processing framework, while Cassandra is the distributed NoSQL database made to process a large amount of data. Consistency, Availability, and Partition Tolerance (CAP)ĭifference Between Cassandra and Hadoop Fundamental Difference.Difference Between Cassandra and Hadoop.