Curiosity Software Enterprise Test Data vs MOSTLY AI

Curiosity Software Enterprise Test Data is an AI-powered platform for handling test data in complex enterprise environments. It reveals data structures and relationships, tracks movement across connected ecosystems, and automates delivery of compliant data when teams need it. Continuous scanning and AI-driven insights help identify potential issues during provisioning. Synthetic-data generation creates realistic but fictitious records, while masking identifies and anonymizes sensitive data before delivery to less-secure environments. More than 250 connectors cover databases, mainframes, files, and messages. The platform targets enterprise development, QA, and data teams working with complex systems, APIs, and large-scale environments. Deployment documentation describes browser-based components, Windows machines for Enterprise Test Data VIP, and Linux machines hosting Docker for private-cloud deployments; the deployment model is hybrid and API access is available. Licensing is charged by data type rather than data volume. Pricing is by custom quote. Implementation and training support are available, while service-level support requires an active agreement.

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.