Record type vs Data store entity

what is the difference between Record type and Data Store entity, I am having a really hard time understanding the difference between them, and when to use each one , a real-world examples would be great 

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    Certified Lead Developer

    Record Types are for presenting data to users in an Appian application, whereas Data Store Entities represent database tables used to manage the underlying data.

    Record Type Data Store Entity
    Purpose

    Displaying and interacting with business data in a user friendly way

    Representation of database table within Appian
    Source of data Database, Process, Salesforce, Web Service  Database only
    Relationships Records can be linked with other record, allowing easy navigation Does not support linking, specific to one table

    Both record type and data store entity supports CRUD operations. But record type provides more features, ease of configuration, ease of development than data store entity which requires considerable knowledge on database concepts

    It is recommended to start moving towards record types than traditional CDT approach to utilize the full potential of data fabrics.

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  • 0
    Certified Lead Developer

    Record Types are for presenting data to users in an Appian application, whereas Data Store Entities represent database tables used to manage the underlying data.

    Record Type Data Store Entity
    Purpose

    Displaying and interacting with business data in a user friendly way

    Representation of database table within Appian
    Source of data Database, Process, Salesforce, Web Service  Database only
    Relationships Records can be linked with other record, allowing easy navigation Does not support linking, specific to one table

    Both record type and data store entity supports CRUD operations. But record type provides more features, ease of configuration, ease of development than data store entity which requires considerable knowledge on database concepts

    It is recommended to start moving towards record types than traditional CDT approach to utilize the full potential of data fabrics.

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