Jump to section
To build the future data layer of the web.
Once applications begin to gain popularity, databases need to be able to handle an increased volume of requests, larger data sets, and more complicated queries. Databases that can’t keep up can lead to substantial business losses precisely when there’s most to be gained: Super Bowl weekend, for example, or Black Friday. ReadySet is looking to help companies dodge this issue.
The company is developing a plug-and-play data caching layer that pre-computes and caches query results in relational databases, meaning that database reads can remain fast. In fact, ReadySet claims that the layer supports millions of reads per second “with sub-millisecond latencies on a single node”.
This is a hugely impressive feat from the company, founded by a team of data systems researchers from MIT, for whom ReadySet began as Noria - the open source streaming data-flow system developed in the lab. Plus, whilst it’s still in development, surveys suggest that there’s substantial enterprise appetite for this kind of product. This is partly thanks to unfit legacy systems, and partly in anticipation of the swelling user and data volumes anticipated for the years ahead - both are good news for ReadySet.
Freddie
Company Specialist at Welcome to the Jungle
Apr 2022
$29m
SERIES A
This company has top investors
Alana Marzoev
(CEO)Previously worked on ML engineering at BioBots, then ML and Computer Systems Research first at UC Berkeley College of Engineering's RISELab, then at Cornell University College of Engineering. Subsequently worked in cloud infrastructure at Microsoft, and recently completed an MIT PhD in distributed systems and databases.
Jon Gjengset
(Co-Founder)Completed a PhD on distributed systems at MIT and worked a spell there as a TA, before moving into a Senior Software Development Engineer role at AWS. Has also spent nearly two decades as a Supervisor and Web Developer at Oksnøen Leir camp.