Plan and prepare for Microsoft Dataverse in 2023 release wave 1
Important
This content is archived and is not being updated. For the latest documentation, go to What is Microsoft Dataverse?. For the latest release plans, go to Dynamics 365, Power Platform, and Cloud for Industry release plans.
Important
The 2023 release wave 1 plan covers all new functionalities planned to be delivered to market from April 2023 to September 2023. In this article, you'll find the product overview and what's new and planned for Microsoft Dataverse.
Overview
Microsoft Dataverse is a low-code data platform that allows you to easily build scalable and interconnected applications, automations, and agents. This is achieved by using common data, security, and business logic.
Deliver services with agility
Quickly add business value with an extensible data platform that uses out-of-the-box common tables, extended attributes, semantic meanings, and an open ecosystem enabled by Common Data Model.
Increase scale and efficiency
Boost productivity and reduce costs by quickly developing applications, processes, and reusable data schemes. Repeatably build, validate, and deploy your applications using GitHub and Azure DevOps.
Make your data work smarter
Get accurate insights by adding low-code AI tools to your process automation. Identify and resolve duplicated and conflicting data with a managed data platform that includes built-in business logic and rules.
Rely on the security of a trusted platform
Protect your data with a robust security management infrastructure that provides critical security and compliance capabilities—advanced encryption, rich access control, and deep integration with Azure Active Directory.
Updates to Microsoft Dataverse 2023 release wave 1
Investment areas
Dataverse infrastructure features
Microsoft Dataverse is the default data platform for all Microsoft Power Platform and Dynamics 365 applications. Microsoft Dataverse runs on planet-scale infrastructure, which ensures availability, reliability, and the highest level of security and compliance for customer data.
Bridge Microsoft Power Platform to Azure data
Customers have asked for a single, end-to-end way to work with data in Microsoft Dataverse, including running AI and machine learning, integrating with external datasets, and slicing and dicing large volumes of Dataverse data. Now, instead of using multiple tools to get the job done, you can accelerate time-to-insight with a single comprehensive solution: Azure Synapse Link for Dataverse. This solution can help you deliver on your end-to-end goals, and is already built in and available out of the box.
Azure Synapse Link for Dataverse enables seamless Dataverse integration with Azure Synapse Analytics to empower users to analyze data in the lake. With just a few clicks, you can bring your Microsoft Dataverse data to Azure Synapse Analytics and visualize data in your Azure Synapse workspace. You can also quickly start processing the data to discover insights using advanced analytics capabilities for serverless data lake exploration, code-free data integration, data flows for extract, transform, load (ETL) pipelines, and optimized Apache Spark for big data analytics.
Enterprise customers are now able to use the familiarity of T-SQL to analyze big data and gain insights, while optimizing their data transformation pipeline to leverage the deep integration of Azure Synapse with other Azure services such as Power BI Embedded, Azure CosmosDB, and Azure Machine Learning.
Microsoft 365 collaboration
Microsoft Dataverse powers many collaboration capabilities, including integrations with different Microsoft 365 products like Microsoft Exchange, Outlook, and Teams. Dataverse enables users to collaborate with colleagues across your company without the need to switch between applications whether you're sending or receiving emails, creating or joining Teams meetings, or linking Teams chats to records.
Dataverse developer environments
Microsoft Dataverse developer environments are meant to empower makers to build rich apps on Dataverse and invite users to run apps for non-production usage. In 2023 release wave 1, we'll bring new investments that will continue to enhance maker experiences with developer environments.
Dataverse extensibility
Customers can create custom logic, tables, forms, applications, .NET plugin assemblies, and more to either extend the existing capabilities of Dataverse or create new capabilities that cater to their business needs. In 2023 release wave 1, we'll be releasing the ability to create dependent assemblies for plug-ins.
Enterprise trust
Hybrid workplaces involving people, devices, and apps built on data from Microsoft Dataverse require an advanced enterprise trust model, including authentication, authorization, and data exfiltration. In 2023 release wave 1, we'll continue to improve all security related investments in Dataverse.
Dataverse APIs
Microsoft Power Platform components like canvas apps, model-driven apps, and Power Automate flows depend on the APIs exposed by Microsoft Dataverse as it provides capabilities to work with business data stored inside Dataverse tables. ISVs and customers use these APIs to enhance their solutions to create integrations and custom applications. In 2023 release wave 1, we'll be improving the performance of the bulk data handling APIs.
To learn more about the entire set of capabilities being delivered during this release wave, check out the release plan for Microsoft Dataverse below:
For application administrators
User-impacting features to the user experience enabled automatically
User-impacting features should be reviewed by application administrators. This facilitates release change management and enables successful onboarding of new capabilities released to market. For the complete list, look for all features tagged "Users, automatically" in the release plan.
Features that must be enabled by application administrators
This release wave contains features that must be enabled or configured by administrators, makers, or business analysts to be available for their users. For the complete list, look for all features tagged "Users by admins, makers, or analysts" in the release plan.