Mockaroo
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Service Name: Mockaroo
Year Service was started: Not explicitly mentioned
Brief Description: Mockaroo is a flexible, user-friendly service for generating large datasets of fake (mock) data in CSV, JSON, SQL, and Excel formats. It's often used for testing and prototyping.
Data Masking Capabilities: Mockaroo does not provide data masking capabilities per se. Instead, it allows you to create realistic, but fake, data which doesn't involve masking real data.
Compatible Data Source Types: As a data generation tool, it does not interact directly with data sources but creates data that can be used in a wide range of systems.
Supports k-anonymity and l-diversity: No, these are data masking and privacy techniques which are not relevant to a data generation tool.
Custom Masking: Not applicable as it's a data generation tool, not a data masking tool.
Discover and Classify Sensitive Data: No, it creates synthetic data and does not analyze existing data.
API: Yes, Mockaroo provides an API for generating data.
Integrates with CICD solutions: Not directly, but the API can be used within a CICD pipeline to generate test data.
Deployed in containers like docker: Not applicable, as it's a web-based service.
Data Masking Configurations in Source Code Management: Not applicable.
Supports Subsetting: Not in the sense of database subsetting. Users can specify the fields and quantities of data they want to generate.
Supports Referential Integrity: Not directly, but users can create multiple related datasets manually.
Automated Provisioning of Test Environments and Data: No, but API can be used to generate test data as needed.
Data Masking Reports: Not applicable, as Mockaroo is not a data masking tool.
Supports Synthetic Creation of Test Data: Yes, this is the primary function of Mockaroo.