Data compression vs data compaction

What is database compaction?
Database compaction compresses the database file by removing unused file sections created during updates.
Old documents revisions are replaced with small amount of metadata called tombstone which are used for conflicts resolution during replication..
What is the difference between compression and compaction data?
Compression is very useful if the original data contains large amounts of repeated characters.
Compaction is similar to compression in that it is an attempt to reduce the number of characters sent over communication lines.
To use compaction, you must first define one or more compaction tables..
What is the difference between data compression and deduplication?
Compression is effective in decreasing the size of unique files, such as images, videos and databases.
While deduplication typically works at the block level, compression tends to work at the file level.
While deduplication and compression are storage-focused, encryption is more of a security feature..

What is the difference between compression and compaction?

Compaction works on individual messages including very small messages—IoT and machine data—messages as small as 8 bytes

By contrast, Compression only works on large groups of messages, or files that are large (at least 1 KB and larger)

Compaction works best on repetitive, low entropy IoT or machine data

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