Hadoop: Hadoop is an open source framework from Apache that is used to store and process large datasets distributed across a cluster of servers. Four main components of Hadoop are Hadoop Distributed File System(HDFS), Yarn, MapReduce, and libraries. It involves not only large data but a mixture of structured, semi-structured, and unstructured information. Amazon, IBM, Microsoft, Cloudera, ScienceSoft, Pivotal, Hortonworks are some of the companies using Hadoop technology.
HBase: HBase is an open source database from Apache that runs on Hadoop cluster. It falls under the non-relational database management system. Three important components of HBase are HMaster, Region server, Zookeeper. CapitalOne, JPMorganchase, apple, MTB, AT& T, Lockheed Martin are some of the companies using HBase.
Below is a table of differences between Hadoop and HBase:
| S.No. | Hadoop | HBase |
|---|
| 1 | Hadoop is a collection of software tools | HBase is a part of hadoop eco-system |
| 2 | Stores data sets in a distributed environment | Stores data in a column-oriented manner |
| 3 | Hadoop is a framework | HBase is a NOSQL database |
| 4 | Data are stored in form of chunks | Data are stored in form of key/value pair |
| 5 | Hadoop does not allow run time changes | HBase allows run time changes |
| 6 | File can be written only once, can be read many times | File can be read and write multiple times |
| 7 | Hadoop has low latency operations | HBase has high latency operations |
| 8 | HDFS can be accessed through MapReduce | HBase can be accessed through shell commands, Java API, REST |