platoseedplatoseed
Data Quality & Playback Platform
SaaS data platform for observing, repairing and replaying data in streaming systems.
Streamdal provides an open-source, code-native platform for managing data pipelines with built-in privacy controls to detect and prevent PII exposure in real time. It emphasizes serverless, real-time data handling embedded directly in application code to streamline data privacy and integrity.
Streamdal embeds privacy controls directly into application code to detect PII/PHI as data enters and leaves systems. It offers composable pre- or post-processors to validate and secure data in real-time, enabling manual instrumentation, SDKs, extensions, and batch or streaming integrations. The platform is described as serverless, real-time, and designed to operate within code across common programming languages, aiming to be faster, cheaper, and easier to operate than traditional pipelines.
Who it’s for: Teams building data-intensive applications that require in-code privacy controls and real-time data governance, including software engineers, data engineers, and data privacy officers within tech organizations.
mentions of live demo scheduling, open-source repository, CEO personal message, and community/join calls indicating active development and community engagement
Physicist turned Computer Scientist. I really enjoy working on distributed systems, hardware, and product design. In my spare time, I teach my two children about the world of science.
CTO & Co-founder at Streamdal -- working on improving pipelines in the data engineering world! I'm all about high-throughput systems, Go, cheap beer and metal \m/ Previously at: New Relic, Digital Ocean, InVision, Community and various data centers on the East coast.
Formerly “Batch” · why startups rename →
serverless platform for real-time data
Data observability for modern data teams
