What's the functionality of new table type "Elastic"?

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Posted on by Adya15

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Microsoft Dataverse with Power Apps

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BrianKo 22 on at

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I saw this too and was wondering the same thing. It doesn't show in the documentation yet either: Types of tables - Power Apps | Microsoft Learn

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ChrisPiasecki 6,422 Most Valuable Professional on at

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Hi @Adya15,

Nothing appears to be documented yet. It's not uncommon to see some new artifacts make it into environments in preparation for a new feature. Perhaps they will mention something about it at Microsoft Build next week.

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Kestenholz 38 on at

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Hyperscale your low code applications on Dataverse
call an application enterprise-grade it must be able to handle thousands of users and should have the ability to scale seamlessly as users and records grow. At Microsoft Build, Dataverse is further enabling enterprise-grade development on Power Platform with the announcement of elastic tables. An elastic table is a data table managed by Dataverse designed to handle large volumes of data in real-time. With elastic tables, developers can import, store, and analyze large volumes of non-relational data without scalability, latency, or performance issues, even automatically scaling to ingest and read tens of millions of rows every hour.

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Kestenholz 38 on at

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Safely hyperscale low-code apps with ease using Microsoft Dataverse | Microsoft Power Apps

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Kestenholz 38 on at

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and finally with some ChatGPT assistance:

Microsoft's Dataverse Elastic Tables are a new feature that are powered by Azure Cosmos DB. They are designed to automatically scale horizontally to handle large amounts of data and high levels of throughput with low latency. These characteristics make them suitable for applications with unpredictable, spiky or rapidly growing workloads1.
Here are some scenarios when you might want to use elastic tables:
Your data may be unstructured or semi-structured, or if your data model may constantly be changing.
You need horizontal scaling to handle workload growth over time or bursty workload at a given point.
You need to handle a high volume of read and write requests

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Adya15 11 on at

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Ok thanks .

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