Apache HBase provides real-time access to data in Hadoop. Apache HBase is designed to host large tables, making it an excellent choice for storing multi-structured data. Apache Hive facilitates the analysis of data stored in various databases and file systems integrated with Apache Hadoop.
Reliability
High Availability
Run Analytics workloads at Scale
Distributed storage
Modular scalability
Optimize Cost and Performance
In Apache HBase data is highly available and accessible despite hardware failure due to multiple copies of data. If a machine crashes, data will be accessed from another path.
Replication of data in the cluster, data reliably stored on the cluster of machines despite machine failures.
Apache HBase and Apache Hive support scalability in both linear and modular form and is centered around maintaining the Performance requirements.
In Apache HBase data replicates across the data centre. lt keep syncing the data in the cluster, so if any, one node goes down, data from that node can be recovered from other nodes.
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