Databucket vs DTM Data Generator
Databucket
databucket.plDTM Data Generator
sqledit.comSide by side
| Figure | Databucket | DTM Data Generator |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 1 | 10 |
| Spec score · Test Data Management Software | 8.7 (#2) | 8.2 (#6) |
| Intended users | The wiki says it is for people who want to use or administer Databucket and directs users to its feature explanations. | The maker describes Standard as intended for individuals and small working groups, Professional for professionals and working groups handling large databases, and Enterprise for corporate solution developers. |
| Support | The wiki says users can create a GitHub task or ask questions in its Slack channel. | Enterprise includes priority technical support, and the product has built-in help and online help. |
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
Databucket
Databucket is an open-source tool for managing test data and metadata across projects, environments, and integrated tools. It stores changing test data in elastic structures and can keep configuration parameters separate from application code. Its multi-tenant client-server architecture is accessed through a RESTful API and deployed self-hosted. Projects can isolate both data and user access. Two permission tiers cover user rules and artifacts such as groups, buckets, and views. Search supports property queries, standard filtering, and extensive filtering. History records creation and modification, while reservations control access and can hide orphaned data. Bulk tasks can modify or delete multiple datasets. Databucket is listed as free at free and uses an MIT license. Setup requires Java 17 and NodeJS 18. Support is available through GitHub tasks or a Slack channel. The wiki presents it for people who use or administer Databucket.
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.