DTM Data Generator vs MOSTLY AI
DTM Data Generator
sqledit.com
MOSTLY AI
mostly.aiSide by side
| Figure | DTM Data Generator | MOSTLY AI |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 10 | 1 |
| Spec score · Test Data Management Software | 8.2 (#6) | 7.7 (#11) |
| Support | Enterprise includes priority technical support, and the product has built-in help and online help. | Users can contact support by emailing [email protected]. |
Plans
DTM Data Generator
- DTM Data Generator Standard — 1 license$149, paid once
- DTM Data Generator Professional — 1 license$299, paid once
- DTM Data Generator Standard — 3 licenses$299, paid once
- DTM Data Generator Enterprise — 1 license$439, paid once
- DTM Data Generator Standard — 5 licenses$479, paid once
- DTM Data Generator Professional — 3 licenses$599, paid once
- DTM Data Generator Professional — 5 licenses$899, paid once
- DTM Data Generator Enterprise — 3 licenses$979, paid once
- DTM Data Generator Enterprise — 5 licenses$1,399, paid once
- DTM Data Generator Enterprise — 10 licenses$2,499, paid once
In their own words
DTM Data Generator
DTM Data Generator creates database rows and schema objects for test population, performance analysis, quality assurance, and load testing. It examines existing schemas and resolves master-detail key relationships, then fills fields through fifteen generation methods, about 70 built-in functions, and an expression processor. Values can come from databases, CSV or text files, Excel, XML, JSON, web resources, and user-defined scripts. Connections use ODBC, OLE DB, or Oracle Call Interface; JDBC is available through the multiplatform runtime. Named systems include SQL Server, Oracle, IBM DB2, Sybase, Informix, MySQL, PostgreSQL, Interbase/Firebird, and SQLite. Results can load directly into databases or become SQL, text/CSV, XML, or JSON. XML and JSON output require Professional or Enterprise, while scrambling requires Enterprise. Standard permits 128 rules and 10,000,000 rows per rule; higher editions allow unlimited rules and higher limits. It runs self-hosted on Linux, macOS, and Windows.
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.