Parallax is the missing piece of your big data infrastructure. It is the first solution that lets you configure and deploy end-to-end data privacy policies. No matter where your data is and whatever is consuming it.
WITH with_rounded_sessions AS ( SELECT ROUND(session_length, MINUTE), user_id purchase_value ), num_sessions AS ( SELECT session_length, COUNT(DISTINCT user_id) as num_users FROM with_rounded_sessions GROUP BY session_length ) SELECT session_length, AVG(purchase_value) + RAND_LAPL(1.2) FROM ( SELECT a.session_length, a.purchase_value FROM with_rounded_sessions a JOIN num_sessions b ON a.session_length = b.session_length WHERE b.num_users > 500 ) GROUP BY session_length
SELECT session_length, AVG(purchase_value) FROM sessions GROUP BY session_length
Parallax automatically transforms queries made against your private data in real-time. It finds the best way to make the answer compliant and privacy-respecting. This lets you focus on extracting the value of your data, not on compliance.
Parallax lets you construct real-time anonymized views of your data. This means you can safely share access to any of your private data within your own organization or with external service providers.
[anon@nixos:~]$docker pull eu.gcr.io/openquery/parallax_
Parallax lets you write privacy policies using familiar code-based workflows that can be easily version-controlled and have complete reproducibility across environments.
With Parallax, you are always in control. And it will easily deploy on what you have - from single container setups to large scale Kubernetes clusters. On-premise or in the cloud.
We build solutions that power the privacy-first AI revolution.
Interested in learning more about Parallax? Please reach out to us and let us know how we can help.