Build for privacy
Build confidently with privacy-by-design data pipelines
For privacy teams
Structure privacy across your organization
Attach consent, classify, transform and split your sensitive data.
For product teams
Launch faster, run cheaper and be more confident.
Integrate in real-time or batch, as SaaS or in your cloud.
For data teams
Real-time data integration build from privacy forward
Install our CLI for quick and easy management of your privacy streams.
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
Read back your privacy streams in real-time or batch
On the fly decryption with Snowflake
Bart van Deenen, lead engineer
Bring STRM into your data warehouse and achieve true compliance in data privacy. That's scalable privacy infrastructure the STRM way.
Pim Nauts, Founder & CTO
On the fly decryption with Apache Spark
On the fly decryption with AWS Redshift
On the fly decryption in Google BigQuery
how to deploy a User Defined Function written in Kotlin so that it can be used in AWS Redshift SQL queries.
Learn how to set up a privacy by design data pipeline for batch data.
Bob van den Hoogen, Software Engineer
With simple schemas we bring you a much easier way to define and read (our) data schemas and event contracts.
Pim Nauts, founder
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.
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.