Feature
In-memory Database
Raima’s In-memory Database (IMDB) architecture allows for significant performance gains and a reduction in processing requirements when compared to the On-disk-engine. The IMDB RaimaDB runs alongside the RaimaDB On-disk engine and databases can be opened with either one. The IMDB RaimaDB is designed to be very simple to use with there being no need for proprietary keywords in the database schema to utilize the IMDB instead of the on-disk engine. Instead, the developer simply sets an option prior to opening the database to configure and use the IMDB.
Aerospace and defense
Capture lots of data Reliably store data Process data in real-time Replicate data to the cloud Securely communicate data Low compute High data volumes Backlogged data not lost Automotive industry
Automotive industry
Autonomous driving
Condition monitoring
Historical driving information
Infotainment & UX
Capture map data Reliably store data Process data in real-time Use irregular information Store alerted information Merge sensor and map data Triggers / Actionable Industrial automation
Capture sensor data Reliably store data Process data in real-time Talk to other devices Light footprint Low compute Triggers / Actionable Backlogged data not lost Healthcare
Capture lots of data Reliably store data Retrieve & process data Use irregular information Store alerted information Replicate to storage Triggers / Actionable Energy & natural resources
Capture sensor data Reliably store data Process data in real-time Use irregular information Store alerted information Low compute Light footprint Triggers / Actionable Extended Flash Media Lifetime
RaimaDB optimizes and minimizes the number of writes to the storage medium, prolonging the lifetime of the device. This means less maintenance is needed for the medium and less replacements over the lifetime of the application. Additionally, RaimaDB performs better on these devices due to the optimizations it has.
Reliability
Before the release of RaimaDB, many tests and methods have been developed to ensure a robust and usable product. This is due to the stability and robustness requirements for a database being much more stringent than many other types of applications.
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