![]() ![]() ![]() Planned Integration: Data held in another application can be periodically synchronised with Dataverse to take advantage of data from other applications in Power Apps.There are 3 different types of data integration in Dataverse: The most common connectors for Dataverse are Power Platform applications (Power BI, Power Apps, Power Automate and Power Virtual Agents), Office 365, Azure, and Dynamics 365. It’s so easy to connect Dataverse to any supported platform. Only table data stored in Azure SQL can be encrypted using a self-managed key for now. In addition, all these data storage types are encrypted at rest using a Microsoft-managed encryption key. Dataverse stores table data in Azure SQL, Azure SQL Storage, Cosmos DB, Azure Data Lake, and Cognitive Search.įor instance, Cosmos DB is used to store audit logs. In short, Dataverse stores data and CDM is where this data is stored.Īfter this brief introduction, you may be wondering what’s behind Dataverse. ![]() Put simply, Microsoft Dataverse differs from Common Data Model in terms of functionality: on the one hand, Dataverse stores and structures business process data and interconnected apps, whilst on the other, CDM works as a data scheme the tables are like spreadsheets and are used to structure the information. Limited connectivity but easier to performĭespite these differences, Dataverse and Azure can be integrated together, so a company can import data from Azure into Dataverse (also when it comes as SaaS, PaaS and IaaS), use Dataverse in Azure apps (with functions or plug-ins), and export data from Dataverse to Azure services (data flows, Azure Data Factory, Power Query, Data Export Service and Power Automate).ġ.1.2. More connection possibilities, especially with old apps However, there are a few key differences: Azure SQL Databaseīoth Microsoft Dataverse and Azure serve as data storage in the cloud. In addition, knowing that it is based in Azure, organisations that choose Dataverse can be confident that it will be globally available, compatible, scalable, and secure.ġ.1.1. In fact, it requires little or no coding, so anyone can work with it, from knowledge workers to professional developers. These tables are stored with a safe and scalable cloud architecture in order to allow users to create and define solutions for their company.ĭataverse uses SaaS, making it very easy to handle data and guaranteeing its compatibility, accessibility, and availability.ĭataverse stands out because of its simplicity of usage. We can create standard tables (usual solutions) or custom tables to achieve specific objectives by using Power Query. This set of entities, known as the Common Data Model, outlines and hierarchises all the information generated by an organisation. As usual, every column is designed to store a specific type of data. A table is a set of rows (registers) and columns (fields). Microsoft Dataverse is a new type of relational database that stores its data within a set of tables or entities. It’s a great tool to connect different apps and services for business requirements. Dataverse allows users to store data dynamically in a scalable and safe environment. ![]()
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