Oracle Database In-Memory adds columnar functionality to Oracle Database for transparently accelerating analytic queries by orders of magnitude. Oracle Database In-Memory enables decision-making based on real-time data to lower costs, improve productivity, and increase competitiveness.
Accelerating applications with Oracle Database In-Memory
Oracle Database In-Memory implements state-of-the-art algorithms for in-memory scans, joins, and aggregation. These optimizations, along with SIMD vector processing, enable Oracle Database In-Memory to run queries at billions of rows per second for each CPU core. Analytics that previously took hours or longer to run can now complete in seconds, enabling real-time business decisions.
Lufthansa benefits from the simplicity of setup, performance improvements and storage savings with Oracle Database In-Memory.
Run analytics reporting directly on operational data in real time without impacting transaction processing.
Database In-Memory enables users to speed up transaction processing by allowing them to drop analytics reporting indexes.
Achieve up to 10X performance improvements for business-critical reporting.
In-Memory Hybrid Scans is a new feature in Oracle 21c. With In-Memory Hybrid Scans, if you exclude columns for a table from being populated the query can still access that table in the in-memory (IM) column store.
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