Oracle TimesTen In-Memory Database Documentation
Release 26.1
Oracle TimesTen In-Memory Database is the world's fastest OLTP database. It is a relational in-memory database with a rich feature set. TimesTen supports SQL, standard APIs, complete ACID properties, and highly available replication mechanisms. A TimesTen database resides entirely in physical memory and is persistent and recoverable. By managing data in memory and optimizing data structures and access algorithms, database operations run efficiently, achieving dramatic gains in responsiveness and throughput.
You can deploy TimesTen as a standalone database and a cache to a backend Oracle database. You can use the TimesTen Kubernetes Operator to deploy, manage, and monitor your TimesTen databases in a Kubernetes environment. These options provide powerful, robust, and fully supported solutions to meet your specific business and data requirements.
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What's New?
TimesTen supports the
JSON data type. You can now store, manage, query, and index JSON data in a TimesTen database. To facilitate this, TimesTen introduces new SQL/JSON conditions and functions.
Encryption at rest
You can enable and configure encryption at rest for database files, such as checkpoint and transaction-log files.
TLS 1.3 support
TimesTen supports Transport Layer Security (TLS) 1.3 for secure network communication for client/server and replication uses cases.
Static and dynamic read-only log-based cache groups support in Oracle GoldenGate
TimesTen supports log-based read-only cache groups. Log-based read-only cache groups provide an alternative approach to trigger-based read-only cache groups by leveraging redo logs instead of triggers to synchronize data between Oracle Database and TimesTen.
See the Release Notes to learn more about these and other new features.
Learn More

Resources
- Get up to speed with our GitHub examples
- LiveLab Accelerate your applications with caching
- TimesTen product website

Related Technologies
- Manage TimesTen databases with Kubernetes
- Use GoldenGate for caching
- Troubleshoot TimesTen with Prometheus
