Why Microsoft Fabric has already been adopted by 70% of the Fortune 500 — and what’s next

Microsoft Along with a number of initiatives that help solve the complexity of enterprise information, Microsoft fabric brings more database options.

In the true sense of the literally, the database is always integrated to calculate and storage. This caused information for all types of expansion and data silo problems. In 2023 Microsoft fabric originally presented as a strategy to help repel this problem. The main idea behind the Microsoft factory should be a general data layer in Microsoft information and analytics. In November 2024 Microsoft fabric expanded With support for Azure SQL Operating Base Platform.

Microsoft, just like opponents on Google in Amazon, many have many different database platforms. While the Azure SQL is widely used, when it comes to AI, a more prestigious database platform and this space. Today, Microsoft Cosmosdb announces Microsoft in the 2025 conference. Cosmosphab is one of the most critical databases used today for AI, because Openai is the basic database of the Chatgpt service. CosmosDB gives a boost by integrating with AZURE AI bonfire, which gives more direct access to the data from AVTIB AI data.

There are also a number of additional information updates including support for Microsoft Copilot on the Powerbi Business Intelligence platform. The SQL Server 2025 database is previously reviewed and discann (disc close to the disk) vector index is open.

These innovations apply to the complexity of enterprise information teams when setting up AI applications. One basic focus is to eliminate the discrimination of information that prevents EU initiatives.

“When I talk to customers, the message I arrived in the sequence, I am a chief information worker, I do not want to be a head integration officer who helped us translate AI to our competitive advantage.”

Fabric, by eliminating the data silo, the entity accelerates the AI

Microsoft Fabric, the company’s single data platform, previously a separate product in combined ecosystem, and continues to speed up rapid growth.

“We convey all of our products together and combine them to a product with Microsoft.” “In some ways, you can think about the piece almost as we do with the office 30 years ago.”

This strategy has obviously resonated with enterprises. ULAG, now Microsoft Fabric is currently more than 2,70% of the world, including 70% of the Fortune 500, he said.

“Grows very quickly,” he said.

Cosmosdb in the piece eliminates the surface of the NOSQL infrastructure

In addition to the fabric, it is Microsoft’s NOSQL document database that enhances many high-profile AI applications.

“Cosmosdb, so far it is often converted to a selection database for the world’s AI business load,” he said. “Chatgpt itself is based on space … Walmart’s e-commerce store runs in space.”

By making COSMOSDB, Microsoft allows organizations to place the NOSQL database without managing the complex infrastructure. The main problem is to protect the performance without delay in the presence of uncontrolled settlement and storage approach.

Microsoft has taken very special technical steps to maintain performance through an innovative way of an innovative.

“Inside the piece, we protect a high-performance cache that manages Cosmosdb’s fast updates,” he said. “Our customer has a very fast synchronization mechanism that is completely transparent, here was spread in nearby Onelake near information.”

This approach provides the response time for Millisecunkamon, which requires the request for AI applications, eliminating infrastructure management tasks.

Why open source data formats are the key to the success of fabric

While Microsoft combines all data products through the fabric strategy, Onelake technology actually saves data.

There is a great complexity in having a single information lake managing numerous information and formats from SQL, NOSQL and unstructured data. Microsoft is a problem that is solved by an open source approach.

“Microsoft embraced completely open source information formats, so everything from the fabric is always in the Apache Parquet and Delta Lake.

This optimization may include all the piece services from SQL to Cosmospha to Cosmospha, the same information to the same basic information, the same basic information related to CosmosdB, the same information without eliminating the traditional performance fines.

Diskann Open Source Release Brings Enterprise-Tier Vector Search

Microsoft not only uses an open source for data formats, which also contributes its code.

In the structure, Microsoft announces that Diskann vector opens the search technology. The decision to open Microsoft is an important contribution to the AI ​​ecosystem, an important contribution to the EI ecosystem, enterprise-class vector search capabilities are accessible to all developers.

“There is a very strong vector vector called Diskann, initially created in Microsoft research and used in Bing … established in Cosmosphab and founded in the fabric,” he said.

Diskann implements the nearest neighbor (ANN) search algorithm optimized for disk-based transactions, making large-scale vector databases for large-scale vector databases. Microsoft by Open Dossip Destrann allows developers to implement the search for the same high performance vector used by CHATGPT and other leading AI applications. It is important to provide a semantic similar content to quickly find AI recipes, where this extended generation generation (dwarf) helps one of the key problems.

“We will not be able to get the benefits of the vector store we use in the internal.”

Why enterprise is important for information leaders

For businesses that lead the EI adoption, these ads allow more complex applications to eliminate multiple data types.

Data silage related complexity and problems are not just different formats, not different places. The continuous evolution of the Microsoft piece, today is disturbing in a way that there is no hyperscaler.

To open the main source standards and obligation, it is important for businesses, because the information is stuck in special formats, it eliminates some locking risk.

When the company competes in the AI ​​capabilities, Microsoft’s unified approach removes an important barrier to innovation. Organizations accepting this integration, the complex information can draw attention to maintaining pipelines, material businesses – potential competitors who are still out of the fragmented architecture.