Optimizing Open Source Databases for Real-Time Performance


THURSDAY, MAY 28 - 11:00 am PT / 2:00 pm ET

Open source databases are a popular choice for many teams because they provide the flexibility and scalability required for latency-sensitive applications. However, open source databases like Cassandra, Redis and RocksDB have inherent inefficiencies in the form of compaction, compression, networking and storage. These functions can take up 75% of CPU power, so how do you get efficient performance?

Implementing a new database (rip and replace), continuously adding database nodes, manual tuning, combining hardware (like FPGAs) with database software, and adding in a cache layer are all options. In this session, we'll discuss our findings profiling open source databases, the ways organizations are approaching open source database optimization, and solutions for autotuning and data acceleration.

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Prasanna Sundararajan
CEO and Co Founder
Stephen Faig
Research Director
Unisphere Research and DBTA