01
The same request, again
Datasets get masked and copied by hand for every team that asks.
ANON for Platform and Infrastructure
Reduce repetitive data preparation
Create a more consistent process for protecting, refreshing, and providing datasets to internal teams.
Sound familiar?
Where platform teams lose time
02
A script per platform
Each database ends up with its own masking script, its own rules and its own quirks.
03
Environments drift
Refreshing non-production data is slow, so environments fall out of date.
See how ANON fits your data platform.
Book an ANON Demo
What changes with ANON
How ANON helps platform teams
Mix sources and destinations
Read from PostgreSQL, MySQL, SQL Server, Snowflake, Amazon S3 or Azure Blob and write to any of them, for example SQL Server to Snowflake.
Structure recreated for you
Primary keys, foreign keys, constraints, defaults and indexes are recreated at the destination, and tables load in the right order.
Repeatable, versioned rules
Save rules once, run them on a schedule, and compare or restore past versions.
Your source is never modified: ANON writes to a separate destination and blocks writes back to the source.
Deploy it your way: self-host ANON in your own cloud infrastructure, or let Stratsy host and manage it. Compare deployment options
See ANON with your provisioning workflow.
Book an ANON Demo
How ANON works
Four steps, no heavy lifting
- Anonymize identifying data
- Identify sensitive information
- Provide usable protected datasets
- Maintain visibility and auditability
See ANON applied to your data workflow.
Book an ANON Demo
Resources
Recommended reading
Reducing manual data masking and provisioning work
The hidden cost of waiting for usable test data
Want to see how this could work in your environment?
Book an ANON Demo
Book an ANON demo
See ANON with your data platform
We'll show how platform teams run one repeatable process across every database.