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Edge computing and RaimaDB

Most tech discussions today arrive at the same conclusion: the future of big data is edge computing. Raima provides new value in database management, accommodating the huge demand for reliable data storage from the edge to the cloud.

While discussions around edge computing are not necessarily new, the growth of the Internet of Things (IoT) has clarified how critical establishing the right presence at the edge can be.


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Easy to Use provides this definition of edge computing: “Edge computing is a distributed information technology (IT) architecture in which client data is processed at the periphery of the network, as close to the originating source as possible.”

The site further points to the factors behind the shift toward edge computing: “The move toward edge computing is driven by mobile computing, the decreasing cost of computer components and the sheer number of networked devices in the internet of things (IoT). Depending on the implementation, time-sensitive data in an edge computing architecture may be processed at the point of origin by an intelligent device or sent to an intermediary server located in close geographical proximity to the client. Data that is less time sensitive is sent to the cloud for historical analysis, big data analytics and long-term storage.”[I]


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The innovations within RaimaDB address the increasing need, driven by the IoT, for applications that can process and manage data in real time, alleviating the strain on network resources. Raima has introduced new efficiency to the database management process itself, while also adding portability and flexibility. Scalable and responsive, it permits data and applications to be placed near the source; it’s an IoT solution that addresses edge-of-the cloud needs.

RaimaDB features an innovative in-memory database that keeps data up to date and available in real time; it is reliable and portable. The RaimaDB data storage engine has been optimized specifically for working with in-memory resident datasets; performance gains are significant, while processing requirements are reduced.

To create such increased performance, Raima has implemented a “packed” row format in the database engine. These packs contain byte streams that are both compact and portable across different OS and processor platforms. So, application developers can develop on one platform and deploy on another. While the ease of use is evident, this feature alone decreases time to market for enterprise applications.

Another distinctive feature of RaimaDB is its high availability functionality (HA), which permits mirroring/replicating edge information to the cloud, either to a different Raima database solution or to other cloud-based databases such as Oracle, DB2 and PostgreSQL. Many competitors can replicate only to other instances of their own database; Raima holds the competitive edge.

Consider some of the following client edge computing use cases, assisted by the efficiency of Raima database management:

Try it for yourself. Visit and download a free demo. You’ll experience the high performance standards that Raima has held for years, along with the speed you require. As so many users already know:

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