Build for privacy
Build confidently with privacy-by-design data pipelines
For privacy teams
Structure privacy across your organization
Features
Attach consent, classify, transform and split your sensitive data.
For product teams
Launch faster, run cheaper and be more confident.
Integrate STRM
Integrate in real-time or batch, as SaaS or in your cloud.
For data teams
Real-time data integration build from privacy forward
STRM CLI
Install our CLI for quick and easy management of your privacy streams.
Data contracts
Define your data shape and classify privacy fields.
Drivers to send your data
Add STRM to your stack and interact with our privacy API's
Connectors
Read back your privacy streams in real-time or batch
tutorial
How to work with Batch Jobs and the Datasubjects Service using the UCI online retail dataset
Bart van Deenen, Lead Engineer
analysis
There's big problems with Google Analytics. It's also very convenient. Let's look for the privacy control point.
Pim Nauts, Founder
release
We're introducing a self-hosted deployment option, so you can keep all sensitive data and processing inside your own cloud.
media
We're starting a new weekly newsletter, Mind the Gap.
Pim Nauts, founder
In today's episode of *Told You So*: Balancing innovation and privacy is hard and has a real cost. And now there's research to prove it.
tech talk
Consumers around the world ask for better data privacy. Your legal team needs you to fix data privacy yesterday. You just want to build better data products. But how do you make sure you can actually use your data among all those demands?
Robin Trietsch, Senior Engineer
Our own Robin and Pim joined Kelly Kohlleffel to discuss balancing innovation + privacy, engineering for privacy and our journey in building a business out of it in the Hashmap on Tap podcast.
STRM.team
An interview on how to drive innovation through privacy by design.
As part of a talk on our journey and lessons in going gRPC, we're sharing the API definitions for our management APIs.
Pim Nauts, Co-Founder
Our paper on Privacy by Design for scalable data systems is included in a special issue of IEEE Data Bulletin on GDPR compliant data engineering.
Learn how to set up a privacy by design data pipeline for batch data.
Bob van den Hoogen, Software Engineer
With batch processing mode, you can transform existing data in a privacy-safe way and easily bring privacy by design to your batch routines.
With simple schemas we bring you a much easier way to define and read (our) data schemas and event contracts.
company
Privacy is still an afterthought in the (modern) data stack. We closed a Seed round to bridge that gap and bring privacy and security by design to data.
Data schemas define the shape (WHAT) of your data, while event contracts specify HOW to classify each field. Let's dive deeper into these two core concepts and how you can create your own schemas.
With the masked fields feature, we're introducing more ways to advance privacy in your data without sacrificing data utility.
Inside our CLI, you can run a quick demo yourself in less than 5 minutes. We'll create a stream, set up the privacy stream and simulate sending and reading data back - all from your terminal.
We have just released a new version of our command line tool. Here's the release notes.
Our command line interface is the easiest way to create, configure and manage your privacy streams. This tutorial will quickly show you how to install and use our CLI.
To celebrate our public alpha after the first few months of building, our partner OpenValue invited us for their meetup where we gave a demo on how we approach privacy-safe stream processing.
Robin Trietsch, Engineer
