Build data pipelines that cleanse data with Pliable.
Run them on DBOS to make them durable, scalable, and observable by default.
From the creators of Postgres and Apache Spark
Build data pipelines that that integrate data organization and cleansing functions from Pliable.co.
The open source DBOS durable execution library makes them crash-proof, observable, and easy to scale.
We’re not kidding, DBOS is effortless.
The DBOS durable execution and workflow orchestration library greatly simplifies the development and deployment of data cleansing pipelines and other data engineering projects.
"With DBOS, developers can build applications in days that now take months on conventional platforms."
Build data pipelines in Python, Go, Java, or TypeScript; schedule them to run using crontab syntax.
Consume events from Apache Kafka topics with guaranteed exactly-once processing.
Durability eliminates AI orchestration headaches like LLM timeouts and rate limiting.
Include manual steps in your data pipeline workflows. DBOS handles async waiting and timeouts for you.
Lightweight durable execution library versus heavyweight durable workflow orchestration services, making programs crashproof without changing the way they're built
Lightweight durable execution library versus heavyweight durable workflow orchestration services, making programs crashproof without changing the way they're built
We’ll do our best to cover all bases. In case you have additional questions about durable execution or workflow orchestration speak with our team.
