Terality can now provision infrastructure in less than 500 milliseconds, allowing you to get started right away with much less latency.
In our first benchmarks, we are experiencing, on average, a 10x faster experience with Terality than Pandas on 1GB+ files.
We have released a side engine that will run all the functions we haven't optimized and parallelized yet. This means that you can execute (almost) any pandas function with Terality, even the ones we haven't hand-optimized. You don't have to do anything to use this side engine: our scheduler will automatically use it when needed.
We have released a side engine that will run all the functions we haven't optimized and parallelized yet. We keep Terality's promise: it's fully serverless, scalable, and compatible with the pandas API.
At Terality, we want to be transparent with our users and keep our community updated regularly. That's why we will publish updates about our product every two weeks or so. First news: Our documentation is online!
Terality is a distributed data processing engine for Data Scientists to execute all their Pandas code 100 times faster, even on terabytes of data, by only changing one line of code. Terality is hosted, so there is no infrastructure to manage, and memory is virtually unlimited. Data Scientists can be up and running within minutes, even on an existing Pandas codebase.