Dataverse Databases
Dataverse is known for creating standardized databases which further contain tables. A Dataverse database is a cloud-based unit instance that stores data in standardized structures called tables. A table is a collection of multiple rows containing both standard and custom data. Logical columns help in handling specific aspects of the data in the rows. Multiple database instances can be created in Dataverse to store business data. Tables are extendable and customizable to adhere to business needs. These integrated business solutions can be shared with multiple partner organizations for collaborative data analysis.
Dataverse databases can support complicated data models. Tables can hold millions of items, and storage in each instance of a Microsoft Dataverse database can be extended to about 4 TBs of data, per instance(1TB=1024GB). The amount of data that is available in an instance of Dataverse is based upon the number and types of licenses the data-handlers have been issued with. Data storage is mutually pooled by all the license holders and can be shared. However, in case of an outage, additional resources could be purchased accordingly.
There are two main categories of tables.
1. Standard- Standard tables have a pre-defined layout and structure. They are created for every instance of Dataverse databases. More columns could be added to any standard table, but columns could be deleted only from custom tables.
2. Complex– Complex tables have complex workflows and pipelines, and intricate server-side business logic.
What is Microsoft Dataverse?
Microsoft Dataverse is a cloud-based, low-code data platform for deploying business logic to data pipelines. Dataverse offers immense scalability with state-of-the-art security and networking features. It provides flexible solutions for data and business-related problems and is designed to be the prime data repository for business-oriented data. A wealth of Microsoft’s solutions like Microsoft Dynamics 365, Power Automate, and Microsoft Azure support connectivity and congenial compliance with Dataverse.