Be the first to try it
One email when early access opens. Nothing else.
Questions? info@krishiv.ai
Available today: Krishiv Engine 0.2, the open-source compute engine the platform is built on. Explore the engine
Spark-compatible compute. Written in Rust.
In development
Workspaces, catalog, pipelines and notebooks, running your existing Spark code.
SQL editor and notebooks for teams, on shared data.
One place for tables, with access control.
Batch and streaming pipelines, scheduled and monitored.
Compute that sizes itself, with no tuning knobs.
Single sign-on, roles and an audit trail.
See what every team and job uses.
Existing PySpark over Spark Connect (in progress). Krishiv is compatible with Apache Spark™.
One engine for all three (streaming and incremental views are in progress).
The same engine embedded in your process today; server and distributed modes are in progress.
The engine is open source under Apache 2.0. Explore Krishiv Engine.
Running Spark today and wanting a faster, simpler engine under the same code.
Building an internal data platform and wanting a foundation to build it on.
Wanting one engine for batch and streaming work.
We will share timelines with early-access members first.
Yes: Krishiv Engine 0.2.
Krishiv is compatible with Apache Spark™; see the compatibility page.
Deployment options, cloud and self-hosted, will be shared with early-access members first.
One email when early access opens. Nothing else.
Questions? info@krishiv.ai
Available today: Krishiv Engine 0.2, the open-source compute engine the platform is built on. Explore the engine
Krishiv AI. Contact: info@krishiv.ai. Krishiv Engine is open source under Apache-2.0.
Apache Spark and Spark are trademarks of the Apache Software Foundation. Krishiv is not Apache Spark and is not endorsed by or affiliated with the Apache Software Foundation.