Speedb blog

RocksDB is a versatile, embeddable persistent key-value store designed for fast storage including memory (RAM), flash, SSD, and NVMe. It is popular because of its performance capabilities and versatility which are due in large part to how RocksDB memory management works and the ability to tune its many parameters and options.

RocksDB is highly versatile for applications that need low-latency databases. Part of what we need to understand when tuning for efficiency and performance is the way RocksDB stores and organizes data.

What are the differences and advantages of an LSM (Log Structured Merge) Tree data structure over B-Tree? We’ve shared about the ongoing debate on the performance impact of 3 amplification factors in RocksDB. 

There are many complex factors that affect the RocksDB performance. It’s a perpetual debate among members in the RocksDB community of developers, expert and novice alike. Everyone building applications wants the highest performance from their key-value store, but few have the expertise and resources available to get the most from the platform.

Which data architecture performs best: Microservices or Monolithic? It depends! Although both architecture-types each have their own distinct advantages, they also both have inherent limitations that lead to performance issues, so there isn’t necessarily a clear winner

To keep up with data growth, developers must continuously shard their databases instead of focusing on higher-value work. With Speedb, businesses can once again focus on how they can leverage the data they store instead of seeing it as a burden.

I/O hangs and delays may lead to poor customer experience and churn. Speedb eliminates this issue and provides superb and consistent performance to the most write-intensive workloads

It’s time for businesses to change how they approach database management.