DataVeil vs MOSTLY AI

DataVeil masks sensitive SQL database data with fictitious values for testing, development, training, analytics and support. It supports Microsoft SQL Server 2014 or later, Azure SQL DB and MI, MySQL 5.7 or later, Oracle 12c or later, and PostgreSQL 14 or later. Choose random masking or deterministic masking, which can keep values consistent across databases and separate runs. Masks can retain value formats and partial content to help preserve statistical distributions. Discovery algorithms check suspected identifiers and account numbers, and users can add regular-expression patterns. DataVeil maintains referential integrity for defined foreign keys and supports user-defined dependencies. Before writing masked values, users can compare originals and results side by side. Projects run from the GUI, command line or batch files. The Community license includes generated PDF reports and automatically multi-threaded masking. It runs as a Java client with an embedded JDK 21 and uses JDBC. The free Community License never expires and covers databases up to 10GB. The Team license is $5,690 a year for an example configuration; its price depends on connectivity options and source-data size.

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.