Reliability of In-Memory Databases on the example of Tarantool
Exness
About speaker
Seasoned architect specializing in distributed systems and database development, with a huge background in various programming languages, and extensive experience in developing highly available and cloud solutions across leading tech companies. Independent database researcher.
About speakers's company
World's largest retail CFD broker
4 July, 15:50, «Hall 3»
Abstracts
An in-memory database is not a new concept. To date, there is a fairly strong relation of such solutions with the terms "cache", "non-persistent" and "unreliable".
In-memory databases have a much wider application than a cache. And their reliability is not worse than that of the most proven relational databases.
I will tell you about approaches that allow an in-memory database to be as reliable as sunrise.
I will analyze the database engine from the incoming request to the synchronous replication and transactional mechanism at a speed of 1 million RPS.
The purpose of my talk is to show that in-memory technologies are already mature and reliable enough to be the primary data storage for your product.
The talk was accepted to the conference program
