MOSTLY AI vs PostgreSQL Anonymizer

MOSTLY AI is a data intelligence platform for accessing production data, generating synthetic, mock and simulated data, and analyzing data. Its assistant lets users request Python code in natural language and run it for analysis. The open-source Synthetic Data SDK supports local generation and uses the Apache v2 license. The platform handles numerical, categorical, date-time, text and geolocation data; it can synthesize relational tables while preserving their relationships. Other controls include Data Insights Reports, data rebalancing, missing-value imputation and generation temperature settings. Listed database connectors include MySQL, PostgreSQL, MariaDB, Oracle, Microsoft SQL Server, Snowflake, Databricks, BigQuery and Apache Hive; cloud bucket connectors include Azure, GCP and AWS. An API and Python client support integration into applications and workflows. Deployment options include Kubernetes, OpenShift and Minikube, as well as on-premises, private-cloud and air-gapped installations. The maker says the platform is SOC 2 and ISO 27001 certified. A single-node Kubernetes deployment requires at least 24 CPU cores, 48 GB RAM and 256 GB storage. The free plan is free, with no further limits stated. It is available via API, Linux, self-hosting and web.

PostgreSQL Anonymizer is an extension for masking or replacing personally identifiable and commercially sensitive data in PostgreSQL databases. Masking rules can be written in SQL with PostgreSQL DDL and kept in the database schema. Its documented approaches include anonymous dumps, static and dynamic masking, replica masking, masking views, and data wrappers. Functions can randomize, fake, partially scramble, shuffle, add noise, generalize, or apply custom transformations. A masked role can export anonymized data through pg_dump; masking rules should then be removed from the dump. Identifier detection searches common names in English and French, but may flag non-identifiers or miss identifiers. Installation instructions cover Linux and self-hosted PostgreSQL. The extension can be built from source on macOS, without community support there; Windows use is described through PostgreSQL on WSL2, as there is no native build. Installation requires superuser privileges, so a cloud database provider must offer the extension in its catalog. The plan is free. Commercial support is available separately.