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Unlock cost savings using compression with Amazon DocumentDB
- Amazon DocumentDB now supports document compression using the LZ4 compression algorithm with compressed documents up to seven times smaller.
- Document compression can reduce storage usage and I/O cost leading to lower storage and I/O costs.
- You can use the Amazon DocumentDB Compression Review Tool to get a sense of how compressible your data is, before enabling compression.
- Using existing APIs, you can monitor compression status and collection size after compression.
- Compressed documents require less storage space and fewer I/O operations during database reads and writes, leading to lower storage and I/O costs.
- Document compression/decompression requires additional CPU as well as increases read/write latency – but the benefits will outweigh the overhead if you have collections with compressible data.
- You can configure document compression for individual Amazon DocumentDB collections based on collection access patterns and storage requirements.
- Document compression is only supported on Amazon DocumentDB version 5.0 and only collection data is compressed in Amazon DocumentDB.
- You can always enable compression on a collection as your workload changes in future.
- Amazon DocumentDB Compression can be a great way to reduce costs and improve performance for your DocumentDB workloads with compressible data.
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