Announcing Amazon DocumentDB (with MongoDB compatibility) version 8.0

Amazon DocumentDB (with MongoDB compatibility) announces version 8.0, which now offers added support for drivers supporting the MongoDB API versions 6.0, 7.0, and 8.0. Amazon DocumentDB 8.0 also improves query latency by up to 7x and compression ratio by up to 5x, enabling you to build high-performance applications at a lower cost. 

The following are features and capabilities introduced in Amazon DocumentDB 8.0:

• Compatibility with MongoDB 8.0: Amazon DocumentDB 8.0 provides compatibility with MongoDB 8.0 by adding support for MongoDB 8.0 API drivers. Amazon DocumentDB 8.0 also supports applications that are built using MongoDB API versions 6.0 and 7.0.
• Planner Version3: New query planner in Amazon DocumentDB 8.0 extends performance improvements to aggregation stage operators, along with supporting aggregation pipeline optimizations and distinct commands.
• New aggregation stages and operators: Amazon DocumentDB 8.0 offers 6 new aggregation stages: $replaceWith, $vectorSearch, $merge, $set, $unset, $bucket, and 3 new aggregation operators $pow, $rand, $dateTrunc.
• Compression: Support for dictionary-based compression through the Zstandard compression algorithm improves compression ratio by up to 5x, thus improving storage efficiency and reducing I/O costs.
• New capabilities: Amazon DocumentDB 8.0 supports collation and views.
• A new version of text index: Text index v2 in Amazon DocumentDB 8.0 introduces additional tokens, enhancing text search capabilities.
• Vector search improvements: Through parallel vector index build, Amazon DocumentDB 8.0 reduces index build time by up to 30x.

You can use AWS Database Migration Service (DMS) to upgrade your Amazon DocumentDB 5.0 instance-based clusters to Amazon DocumentDB 8.0 clusters. Please see upgrading your DocumentDB cluster to learn more. Amazon DocumentDB 8.0 is available in all AWS Regions where Amazon DocumentDB is available. To learn more about Amazon DocumentDB 8.0 visit the documentation.

Categories: marketing:marchitecture/databases

Source: Amazon Web Services

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