Splitgraph is a...
The way you interact with Splitgraph is by submitting queries and getting results, instead of provisioning, managing and scaling a database.
Splitgraph is built for the OLAP use case. It uses columnar storage and is optimized for fast aggregation queries.
If you're looking to build an interactive read-heavy application that needs to run analytics on a large dataset, Splitgraph is for you. On the other hand, if your application will be dealing with a large volume of single-row reads and writes, Splitgraph might not be a good fit.
Splitgraph is designed for modern Web applications that might be running on a server, in a serverless environment or on your end user's browser. It can cache query results and is suitable for a zero-trust environment.
In a way, you can think of Splitgraph as a CDN for data.
The next article gives a quick overview of how Splitgraph organizes data and how you can discover, query and add your own data to it.
Splitgraph is a publicly available multi-tenant service. However, we also offer private, single-tenant deployments of Splitgraph. They are available on managed or self-hosted infrastructure including all major clouds. To learn more, join the beta.