Unified Engine
One runtime for batch, streaming, and incremental processing.
Rust-native Unified Compute Engine
One engine for
Batch, Streaming,
and Incremental
Processing
Krishiv unifies batch, streaming, and incremental workloads in a single, high-performance engine — from local development to distributed scale.
SQL
Rust
Python
Krishiv Runtime
Batch · Streaming · Incremental Processing
DataFusion · Apache Arrow
Scheduling · Shuffle · State · Checkpoints
Iceberg · Kafka · Parquet · Object Storage · Catalogs
Incremental by Design
Compute only what changes with IVM and delta processing.
Rust-Native Performance
Built for speed, safety, and predictable performance.
Iceberg First
Native table format support with ACID guarantees.
Local to Distributed
Run locally, then scale to single-node or distributed clusters.
Reliable Foundations
Correctness, state management, and fault tolerance.
Developer Experience
Start locally.
Scale without limits.
Same APIs. Same engine. From your laptop to a distributed cluster — Krishiv grows with your workload.
Local Mode
Run and debug on your laptop.
Single Node
Deploy to a server or VM for more power.
Distributed Cluster
Scale out for massive data and high availability.
1SELECT customer_id, SUM(amount) AS total_spend2FROM orders3WHERE event_time >= NOW() - INTERVAL '1' DAY4GROUP BY customer_id;5