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Studio

  • Create a workspace
  • Create a data model
  • Create a diagram
  • Create model-to-model mapping
  • Connect data to a data model
  • Execute model-to-model mapping
  • Create a service
  • Consume a service
  • Create a Flat Data schema
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  • Release 2022-05-05
  • Release 2022-04-26
  • Release 2021-10-18

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Release 2021-10-18

Released Features

Landing Page

Share workspaces with other users via group workspaces. No need to merge changes in your workspace to master anymore to make them visible to others. This adds additional functionality to Studio for easier collaboration in community driven projects.

new group workspace feature

Diagram Editor

Build data models entirely from the Diagram view. This includes creating classes, adding attributes and defining data relationships. This unlocks a more intuitive and collaborative way to create data models. Find out more here

new diagram feature

Query Builder

Convert query attributes to Derivations. This allows users to further define the expected results of a query by enabling to write functions.

derivation in query

Define parameters as part of your query. This allows users to make use of advanced query functionality to improve the quality of the data received.

parameter in query

Perform Calculations on your Query. The Query Editor now supports performing aggregation functions as part of your query.

aggregation in query

See your query in text mode (PURE). Users can review and edit their created queries using the user-friendly UI mode also in text mode.

textmode in query

Mapping Editor

Add a filter to model-to-model mappings. This allows users to further restrict the values they would like to retrieve as part of the defined transformation.

filter in mapping

Service Editor

Consume data models via service-execution JAR files generated as part of the GitLab pipeline. Users can define data services on top of their relational-to-model mappings and systematically query modeled data when deploying the JAR files in their Java applications. Find out more here

service execution jar

External Formats

Map a csv data source to a data model (beta). Mapped csv data sourced can then be consumed via the generated service-execution JARs.

csv mapping

← Release 2022-04-26Contribute to Legend →
  • Released Features
    • Landing Page
    • Diagram Editor
    • Query Builder
    • Mapping Editor
    • Service Editor
    • External Formats
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