HBase Data Compression Techniques

There are several types of data compression techniques available in HBase.

1. Gzip is a widely-used data compression format that can be utilized in HBase to reduce storage space usage.
2. Snappy is a fast compression and decompression algorithm that can be used in HBase to enhance the performance of reading and writing data.
3. LZO is an efficient data compression algorithm that can be used for compressing and decompressing data in HBase.
4. Bzip2 is a slower algorithm that offers higher compression ratios, and can be used for compressing data in HBase.
5. LZ4 is an extremely fast compression algorithm that can be used in HBase for compressing data, offering high compression and decompression speeds.

These compression techniques allow for the selection of appropriate algorithms based on actual needs to compress data, reducing storage space usage and improving read/write performance.