STRM is sunsetting… 🌅


Dear friends and supporters of STRM,


It is with a heavy heart that we inform you we have decided to close shop here at STRM, despite overwhelming support from our partners, investors and customers.


Over the past four years, we have worked to help solve data and security issues inside data. We started STRM (then Stream Machine) on the observation that strategic leverage in creating value from data was shifting to data itself. We believe we were right. We expected privacy- and security concerns (and legislation) to be an important roadblock to creating value and to provide room for an emerging software category. 


What we underestimated is the speed of decision making around this topic in organisations and the ability to influence “outside in” as a young start-up. Existing platforms moved into the space, with a strong buyer preference for these “installed” vendors. 


We have worked relentlessly to solve these issues. From our original privacy-safe streaming pipelines to open-sourcing PACE and integrating to data platforms. Over the past months we learned we couldn’t break the patterns necessary to build a promising business over the longer term.


If you are running PACE, it is and will remain open-source. For mitigation, you are free to contribute and/or fork PACE under its licence (Apache 2.0). If you are interested in (licensing) other assets like the streaming platform, please reach out to us. 


Thank you for your support and opportunities over the past years! 


Bart, Pim and the STRM Team.

Worked with

how it workED

Enforce data policies at scale.

Data policies aren't just about controlling access; they are about extracting value from data with the right guardrails. PACE lets you collaborate on the why and when, automating the how through code. See for yourself in our online demo.

how it workED

Enforce data policies at scale.

Data policies aren't just about controlling access; they are about extracting value from data with the right guardrails. PACE lets you collaborate on the why and when, automating the how through code. See for yourself in our online demo.

lightweight, standalone

Keep your PACE

With PACE you can programmatically define and apply data policies across platforms. Integrated to your data platform and catalog (optional), and by leveraging the native capabilities of the stack you already have.

Sync data realities

PACE enables automated policy application across key data platforms and catalogs to ease your governance processes.

Simplify governance

Ease the process of policy creation and implementation. Centralize control and decentralize execution. Fulfill auditing obligations by simply showing how controls are implemented.

Light as (a) cloud

PACE is not a SQL proxy, but is deployed on its own and connects to metadata. PACE doesn't need the data itself, and doesn't touch permissions config, but simply leverages the existing group configuration and tagging.

Ready for AI

Managing policies in a centralized and programmatic way is a huge step forward. But what if it was just a written instruction? With PACE our eyes are set on putting data access on auto-pilot (coming).

Integrations

Leverage your existing stack

PACE connects to the stack you already have. Policies leverage existing glossaries, tags and metadata (if present) and are implemented natively in your existing data platform.