We cut around 30% of the execution time when executing functions on small datasets.
Terality now caches the result of computations. In other words, running the same function twice on the same inputs will return a result almost instantly.
You can now export dataframes into multiple files, using to_csv_folder / to_parquet_folder. Exporting your data in one huge file is often a big problem for the next steps in your workflow. Terality now offers the possibility to export a dataframe into multiple files, with two extra methods to the pandas API: to_csv_folder and to_parquet_folder.
Terality can now provision infrastructure in less than 500 milliseconds, allowing you to get started right away with much less latency.
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.
