Use case
Edge-to-cloud replication
Raima can help you manage data securely from IoT devices to on-oremise servers to the cloud. In today’s computing environments, the ability to share critical information to allow for critical actions to be taken and decisions to be made, is an important requirement for any software application. When gathering data securely with Raima on the IoT edge devices, users can replicate that data to edge servers with Raima-to-Raima replication and then summarized data to any cloud database vendor through a parternship with SymmetricDS.
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
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 Cross-platform replication
Raima’s ultra-fast replication allows for replication from IoT edge devices running real-time operating systems to edge/fog infrastructure like on-premise servers, gateways etc.
Cloud Database Management
Optimized for performance and scalability, replicate thousands of databases asynchronously in near real-time, and span replication across multiple tiers.
Get started with Raima Database Manager today
Try Raima Database Manager for free today and see how screaming fast data management can get you to market on schedule and under budget.
