View From the Top by Prasanna Sundararajan CEO and Co-Founder
Drop-In Optimization for Open Source Databases
To support data-centric applications like AI, ML, recommendation engines, or even something as common as payment processing, massive and ever-increasing amounts of data must be gathered, decomposed, merged, personalized, and presented—BUT —open source databases are spending ~75% of CPU cycles on backend operations like compaction, compression, networking and storage.
This is not a weakness in open source databases themselves. The problem is that databases perform functions—in fact, the most common and performance-sensitive functions—that do not execute well on a standard CPU-based server. rENIAC discovered this inherent inefficiency and built a solution to allow users to supercharge, rightsize and optimize their existing open source DBs through a 10x leap in performance and 15x reduction in latency with no change to existing apps or architecture.
rENIAC provides huge performance, space and power benefits. As a result, clusters are:
- Supercharged: Both READ and WRITE maximum capacity are immediately increased.
- Rightsized: If a user already has a large cluster, “right” might mean capping the node count for now and forever, adding new data onto existing nodes.
- Simplified: No time, effort, and expertise is required any more to execute and continually tune or optimize.
- Past and future-proofed: No database modifications are needed. You don’t need to move away from your existing SQL or NoSQL database.
rENIAC is available for cloud and on-prem deployments and can be implemented as a cache, transparent proxy or storage engine, and can be used to supercharge and optimize user profile stores, recommendation engines, product catalogs, fraud prevention, payment processing, or any applications that leverage AI or ML.
Request a demo at www.reniac.com.