Skip to content
SPECIFICTION
Get listed

Greenmask vs MOSTLY AI

Greenmask

github.com

MOSTLY AI

mostly.ai

Side by side

FigureGreenmaskMOSTLY AI
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
Web—Yes
macOSYes—
LinuxYesYes
API—Yes
Self-hostedYesYes
Plans published11
Spec score · Data Masking Software7.9 (#8)7.8 (#11)
Company historyGreenmask says it was founded in 2023 with the launch of its Greenmask utility.MOSTLY AI says it was founded in 2017 in Vienna, Austria.

Plans

Greenmask

  • GreenmaskFree

Greenmask pricing →

MOSTLY AI

  • FreeFree

MOSTLY AI pricing →

In their own words

Greenmask

Greenmask is a free, open-source utility for logical database dumps, anonymization, synthetic data generation, and restoration. PostgreSQL 11 and later is fully supported; MySQL support is in progress and beta. Its subsetting tools can produce smaller development databases while preserving referential integrity, including cyclic and polymorphic references. Transformations may be deterministic or random, use dynamic parameters and conditional rules, and inherit across partitions and foreign-key references. Users can make custom transformers that exchange data through standard input and output, or use predefined templates. Greenmask supports local directories, S3-compatible storage, Azure Blob Storage, and SSH/SFTP. It uses PostgreSQL's pg_dump and pg_restore utilities for schema dumping and restoration, and its dumps can be restored with pg_restore. The utility is designed for CI/CD automation of anonymization and restoration. Its stateless, in-flight approach can anonymize data before it is persisted without requiring persistent storage of unmasked datasets in its normal workflow. Installation scripts support Linux and macOS; Windows is not supported yet.

Visit github.com

MOSTLY AI

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.

Visit mostly.ai