SAN FRANCISCO, February 12, 2024 — voltron data Today we announced the release of Ibis 8.0. Downloaded over 10 million times, Ibis is a Python dataframe API that allows developers to easily run code across a myriad of data platforms, enabling the right query engine to do the job.
New release has the first dedicated streaming backend for Apache Flink and RisingWave, now offers a variety of batches, and a streaming execution engine integrated with a single Python dataframe API .
“Finally, developers can write code once and use it across local, batch, CPU, GPU, and even real-time query engines. Ibis is a bridge between batch and stream processing execution engines. “We are leading the effort to break down barriers. This is a major step toward a modular, configurable data ecosystem across all paradigms,” said Josh Patterson, co-founder and CEO of Voltron Data.
Ibis is an independently managed open source project supported by Voltron Data and contributors across the data platform, including Google, Starburst Data, and RisingWave. With today’s release, users can now run their Ibis on 20 different query engines, ranging from DuckDB for small-scale queries to BigQuery, Spark, Theeus, and more for large-scale distributed preprocessing/ETL jobs. It will be. It can also be run on his two streaming engines, Apache Flink and RisingWave, without any code changes.
“As the Ibis API improves and new features are added, such as ML preprocessing, all supported backends improve with it. “The open source community can add integrations to the Ibis ecosystem to improve working with data in Python on any data platform supported by Ibis.” said Zhenzhong “Z” Xu, President.
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Voltron Data provides a new way to design and build composable data systems for enterprises and government agencies. For more information about Voltron Data, please visit: https://voltrondata.com.
Source: Voltron Data