DataKnits empowers data engineering teams to visually compose complex pipeline graphs, orchestrate executions in real-time, and automatically generate highly optimized PySpark and Scala execution files, with SQL push-down where it makes sense. No black box, no runtime vendor lock-in.
Traditional ETL forces you to choose between slow visual platforms and massive manual coding efforts. DataKnits delivers the absolute best of both worlds.
Instantly map schemas, inspect files, and align transformations with a streamlined drag-and-drop workspace. Your data teams build 10x faster.
No proprietary runtime. Our compiler outputs native PySpark or Scala scripts which execute directly on your local system or containerized clusters.
Designed with controls supporting HIPAA and GDPR alignments. Includes AES-256 local field decryption, audit logs, MFA, and SSO out of the box.
From connection to orchestration, map your entire pipeline structure with a clean visual path.
RDBMS, Cloud Warehouses, Streaming Brokers, Flat Files.
Join, Filter, Deduplicate, Encrypt, Mask, Python UDFs.
VCS Tracking, Pre-flight validation, Cron triggers.
Delta Lake, Lakehouses, S3, PostgreSQL, Kafka stream.
Integrate your entire data universe natively. No custom driver coding required.
We align our software features and local containerized configurations with the highest global compliance frameworks.
Ready to completely eliminate the manual ETL coding bottleneck? Let our systems engineering architects walk you through our visual builder canvas, show you the direct code compiler, and discuss our early adopter support benefits.