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Amazon OpenSearch Service optimized for log analytics

Amazon OpenSearch Service introduces a new engine purpose-built for log analytics, delivering up to 4x better price-performance and combining full-text search with analytical queries.

Amazon OpenSearch Service now offers a new engine optimized for log analytics workloads. This engine delivers up to 4x better price-performance on internal benchmarks, combining full-text search capabilities with efficient aggregations and trend analysis. It reduces storage by up to 70% with a new columnar storage format for aggregation workloads, allowing users to retain up to 3x more data at the same cost. The engine also provides up to 2x higher ingestion throughput and 2x faster analytical queries on the same hardware. To get started, create a new domain on OpenSearch 3.5 or above using the AWS console, select the observability use case, and set the engine mode to optimized. Users can build visualizations and explore data through PPL in the OpenSearch UI, or query via SQL using the API, JDBC/ODBC drivers, and Query Workbench. The engine supports combining full-text search predicates with analytical SQL in the same query. The optimized engine is available across 12 regions globally at no additional charge.

Read the original AWS announcement