DataKnits completely removes runtime translation layers. Connect, transform, orchestrate, and export using a beautiful visual workspace that compiles directly into high-fidelity, open-source code.
Build production-ready data flow graphs inside an intuitive, collaborative editor. Designed for data engineering agility, our visual builder allows any developer or business analyst to inspect structures, map fields, and inject complex operations.
Your data pipelines should not rely on slow proprietary execution layers. Design once, run natively anywhere.
For heavy lakehouse workloads, massive RDBMS transformations, and deep Delta Lake or Apache Hudi transactions, DataKnits compiles visual graphs into optimized Spark session scripts.
When the transformation can run closer to the data, DataKnits compiles pipelines into native SQL and pushes execution down to the target database instead of moving data through Spark at all.
Serverless by default — with dedicated environments available on demand.
Our standard deployment model — no infrastructure for your team to provision or maintain.
Need it behind your own firewall or in your own VPC? Available on demand for teams that require it.
Fully managed secure workspace hosted by our cloud teams, featuring 99.9% uptime compliance.
DataKnits features 47 pre-configured integration templates, enabling your development teams to move data between RDBMS databases, unstructured object storages, and real-time streaming buses seamlessly.
No need to manage JDBC driver versions, write custom API ingestion adapters, or compile custom serializers. DataKnits handles standard and enterprise protocols natively, ensuring secure, high-throughput pipelines.