Oracle TimesTen
Oracle TimesTen is an in-memory, relational database that is optimized for performance-critical applications. It provides fast access to frequently updated data and supports ACID-compliant transactions.
Oracle TimesTen: High-Performance In-Memory Database
Oracle TimesTen is an in-memory, relational database optimized for performance-critical applications, providing fast access to frequently updated data and ACID-compliant transactions.
What is Oracle TimesTen?
Oracle TimesTen is an in-memory, relational database management system that is designed to improve application performance and reduce system overhead for transaction-intensive applications. Unlike traditional disk-based relational databases, TimesTen holds databases fully in physical memory to avoid disk I/O delays during transactions.
Key features of TimesTen include:
- Extreme performance - By eliminating disk I/O, TimesTen can provide very low predictable response and throughput times measured in microseconds.
- Memory optimizations - TimesTen uses advanced memory and disk management to optimize memory utilization.
- SQL support - Applications can interact with TimesTen using standard SQL interfaces like JDBC, ODBC, and Pro*C.
- Recoverability - TimesTen databases can persist to disk for disaster recovery. Transactions are logged for reliable recovery after any planned or unplanned shutdown.
- Integration - TimesTen works seamlessly with Oracle Database for a high-performance transactional data store.
In summary, TimesTen is designed to boost transaction throughput and reduce latency for time-sensitive applications that require real-time responsiveness. Its in-memory architecture makes it well-suited for telecom, financial trading, gaming, and other high volume workloads.
Oracle TimesTen Features
Features
- In-memory database for low latency
- Persistence for durability and recovery
- SQL support for relational data
- Integration with Oracle Database
- Support for mobile and embedded systems
Pricing
- Subscription-Based
- Pay-As-You-Go
Pros
Very fast response times
Efficient data management
ACID compliance for reliability
Scalability across cores and nodes
Small memory footprint
Cons
Limited to RAM capacity
Less functionality than full RDBMS
Requires expertise to tune and optimize
License costs for some features
Limited third party support
Reviews & Ratings
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