That’s why Microsoft and Snowflake have been working side by side to make open, cross-platform integration effortless. Over the past 18 months, our collaboration has focused on one shared goal: helping customers connect Snowflake and Microsoft OneLake to access, analyze, and share data without duplication or complexity.

Built on open standards like Apache Iceberg and Parquet, this collaboration lets organizations use a single copy of data across both platforms and choose the right tool for every task. The result is a more flexible, efficient, and unified data experience—no matter where your data originates.

To learn more about how this interoperability works, check out our recent Microsoft and Snowflake: Delivering on the promise of openness and interoperability blog post.

Microsoft Ignite: Announcing enhanced interoperability between Microsoft and Snowflake

We’re excited to share new advancements that make the Microsoft–Snowflake integration even easier to use and more powerful.

We’ve added new, intuitive user interface (UI) experiences in both platforms to simplify setup and use. OneLake is adding a Snowflake-branded item in preview, allowing users to seamlessly access all Snowflake data within Microsoft Fabric without requiring further configuration. This means you can use any Fabric workload—analytics, AI, or visualization—directly on Snowflake data, without extra configuration.

Snowflake is also introducing new UI capabilities designed to let OneLake serve as the native storage location for your Snowflake data. This means all of your data can reside in OneLake, while taking advantage of Snowflake’s powerful engines.

Take a look at this new UI in action below and get started today.

How does this add to Microsoft’s existing interoperability?

We’ve already been able to deliver bidirectional data sharing between Snowflake and OneLake, for seamless interoperability between our platforms without data duplication. Customers can already write Snowflake tables directly to OneLake, access Apache Iceberg tables using OneLake shortcuts, and read OneLake tables from Snowflake—all without duplication or complex setup.

What we’ve already delivered:

• General Availability
  • Automatic translation of Iceberg metadata to Delta Lake metadata for use with all Microsoft Fabric engines.
  • Shortcut Snowflake Iceberg data (in Azure, Amazon S3, or GCS) directly into OneLake.
• Preview
  • Native storage of Snowflake Iceberg data in OneLake.
  • Automatic conversion of Fabric data into Iceberg format for seamless use in Snowflake.
  • New OneLake table APIs that work with Snowflake’s catalog-linked database feature.

And with the new UI now rolling out, we are making the existing interoperability easier to implement for your teams.

Looking ahead to unified, cross-platform data access and management

Looking ahead to 2026, our goal is to make all these capabilities generally available, so that even your most mission-critical workloads can take advantage of unified, cross-platform data access and management.

But beyond our existing interoperability, we are committed to continue removing barriers between our platforms, so you have full optionality for your data projects.

Still have questions about the integration?

Watch the recent Ask me Anything: Fabric and Snowflake Interoperability webinar where experts from Microsoft OneLake and Snowflake answered top questions on how to most effectively use these platforms together.

The post Microsoft and Snowflake: Simplified interoperability with no data movement appeared first on Microsoft Fabric Blog.

ISVs have been actively engaging with several capabilities available in private preview to create innovative experiences and enhance their existing applications. The feedback received has been overwhelmingly positive. Today, at Microsoft Build, we are thrilled to unveil the latest developments that ISVs can utilize to drive innovation and provide unparalleled value to their customers.

The paths to integrating with Microsoft Fabric

There are 3 paths for ISVs to integrate with Fabric. Starting with simply reading and writing to OneLake, the foundation of Fabric, all the way to a more involved approach – building a completely native workload within Fabric. Each integration path has various new capabilities now available.

1. Inter-operate with Fabric: 

At the core, OneLake uses the open table format DeltaLake and all Fabric workloads can read and write to it.

But many ISVs have customers with other table formats. And today we announce that Apache Iceberg table format is coming soon! This allows ISVs to choose their format of choice for customers. We are committed to our principle of open data, and this is one more step further to move away from walled gardens to data that is open and interoperable for our customers and ISVs.

There are various approaches to integrate with OneLake as shown below.

While developers at ISVs can use a range of OneLake APIs to support different use cases, Shortcut APIs are now available and in addition, OneLake supports S3-compatible sources as well. This means that data from a range of object stores that support S3 protocol can also be integrated into OneLake across multiple clouds.

One of the capabilities that data-centric ISVs are particularly excited about is the Fabric External Data Sharing capability. This allows data-rich ISVs that share data across Fabric tenants to their customers and even monetize their data assets. End-customers can also share data via shares with the ISV driving increased data collaboration.

2. Develop Apps on Fabric: 

Organizations and application providers continue to build experience and apps including highly advanced SaaS multi-tenant analytics applications on Fabric using the Data Warehouse APIs, Data Factory APIs and more. This is a pattern many ISVs are leveraging and one in particular we’d like to highlight is Adobe.

Adobe and Microsoft are expanding our existing relationship. Adobe Experience Platform (AEP) and Adobe Campaign will have the ability to federate enterprise data from Microsoft Fabric. Our joint customers will soon have the capability to connect to Microsoft Fabric and use the Fabric Data Warehouse for query federation to create and enrich audiences for engagement, without having to transfer or extract the data from Fabric.

Along with our existing APIs, we continue to innovate and add new and improved capabilities our customers and ISVs can use and extend their applications.

What’s exciting is that now along with data at rest, you can seamlessly integrate data in motion with the introduction of Real-Time Intelligence in Fabric.

Customers have more and more real-time data coming from IoT systems, telemetry, cloud applications, and more. It’s notoriously hard to work with, but with Fabric we’re making it very easy for everyone to unlock actionable insights out of this data. ISVs can now leverage this to build unique experiences with both data at rest and in motion. Learn more about this in the tech blog.

In addition, an API for GraphQL is now available in Fabric that makes it seamless to query several different analytical data sources—lakehouses, warehouses, mirrored databases and develop rich data-driven applications and experiences.

Also announced at Build is the new User Data Functions (UDF) capability, which allows developers to add custom business logic within Fabric in C# or Python and access it within Pipelines and other Fabric items. These also come with an endpoint that can be called directly from applications. Learn more hereabout UDFs in this blog.

3. Build a Fabric workload:

At Ignite, we announced partnerships with a set of design partners to build native Fabric workloads. Today, at Build, we are thrilled to announce that the Fabric workload development kit is now available in Public Preview for ISVs allowing them to build their own Fabric workloads.

This opens up an enormous opportunity for our partners to create a new channel for a SaaS experience and reach a much wider audience for their products and tools. Using the new Dev Kit for Fabric, ISVs can acquire new customers by providing a fully integrated workload in Fabric. The ISV workloads will provide a seamless experience with the rest of Fabric and works directly on top of the data in OneLake. All Fabric customers can easily discover and try the ISV workload in the new Fabric Workload Hub and transact directly in the Azure marketplace.

Announcing Private Preview Workloads: A Sneak Peek into the Future

We’re also thrilled to announce the private preview of many partner workloads using the new Workload development kit.

SAS, Esri, Informatica, Teradata, Neo4J and Profisee – we are excited to announce that each of these will soon introduce a Fabric-native workload for our joint customers. Each of these experiences add value to users by enabling them to take advantage of the industry-leading technology and capabilities of these ISVs all within the Fabric platform.

Here are all the workloads that will soon be in Private Preview and available for you try out.

The SAS Decision Builder workload enables users to construct business rules and decisioning flows to make intelligent decisions on data in OneLake. Sign up for the private preview for SAS Decision Builder coming soon to learn more.

The Esri Geospatial Analytics workload enables users to unlock the potential of location data using a range of reliable spatial functions and tools via the Fabric Data Science notebooks. You can sign up for the private preview coming soon here.

The Informatica Data Quality workload in Fabric will enable users to profile and improve data quality for data stored in OneLake all natively within Fabric via a SaaS experience. The private preview is coming soon. Sign up here!

The Teradata AI Unlimited workload will also be in private preview soon. Sign up here for more details. It will provide our joint users the ability to use the powerful Teradata analytics engine including the over 150 built-in functions in an on-demand workload service with read and write to OneLake.

The Neo4J Graph Analytics workload will enable users to create Graph models on data in OneLake, analyze Graph data, run Graph Data Science Algorithms using Neo4j Bloom, and write back results into OneLake for a seamless end-to-end integration all within Fabric. The private preview will be available soon.

The Profisee Master Data Management workload will enable user to effortlessly match, merge, standardize & verify data to create Master Data Projects with ease all within Microsoft Fabric. This workload will also be available soon in Private Preview.

This is just the beginning of our journey. We have already partnered with many more ISVs to extend their experiences to OneLake, develop new applications using Fabric’s rich workload APIs, and build native experiences within Fabric.

With the Public Preview of the Fabric Workload Development Kit, we invite developers from all ISVs and industries to join us in innovating and bringing rich SaaS experiences to Fabric. By leveraging Fabric’s extensive reach, discoverability, instant access to the customer’s data estate, and strong community, you can drive growth. A world of new possibilities has opened up, and we hope you will join us in bringing rich workloads to our joint users.

The post Integrating ISV Apps with Microsoft Fabric: A World of New Possibilities  appeared first on Microsoft Fabric Blog.

Microsoft Fabric

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Integrating ISV applications with Microsoft Fabric

We are excited to announce the paths for ISVs to integrate with Microsoft Fabric towards building a powerful ecosystem for all organizations. But before looking at these approaches, I want to share why organizations and ISVs should partner with us and build various levels of integrations with Fabric. The early momentum and feedback have been simply fantastic.

Three reasons to integrate with Microsoft Fabric

Unparalleled platform capabilities

At the heart of Microsoft Fabric is an open platform—with open formats, open interfaces and application programming interfaces (APIs), and in the future—open platform integration software development kits (SDKs). For ISVs, this means the ability to weave their applications into a broader ecosystem with ease. Microsoft Fabric’s open architecture is bolstered by a rich set of APIs bringing secure access to all the customer’s data in a seamless way, which is often challenging for ISVs to access. In addition, Fabric is AI-powered with AI infused at every layer that ISVs can leverage as well to enhance their customer experience.

Reach, scalability, and growth

Microsoft Fabric will allow ISVs to reach hundreds of thousands of organizations. Integrating with this platform will bring an undeniable advantage for ISVs to expand their market. Built as a horizontal platform, it guarantees a huge reach and discoverability, from niche sectors to broad markets effortlessly. And while scalability is a prime advantage, it doesn’t come at the cost of security. Microsoft Fabric brings robust governance and security, allowing your user base to grow, while still staying secure. In addition, ISVs can leverage their existing business model via the Azure Marketplace including pay as you go approaches.

A collaborative ecosystem

Beyond the technological facets, Microsoft Fabric thrives as a community. It’s not just a platform but a collaborative ecosystem. ISVs, upon joining the Fabric community, immerse themselves in a rich pool of innovators, developers, and tech enthusiasts. This networked environment stimulates knowledge exchange, fosters potential partnerships, and enables ISVs to always have a sounding board for their innovations.

The paths to integrating with Microsoft Fabric

There are three approaches that ISVs can leverage to enable seamless integration with Fabric.

1. Inter-operate with Fabric: This is one of the easiest ways to leverage the power of the data that Fabric customers will store in OneLake. By enabling your application to work with OneLake in Fabric, using published APIs and SDKs, ISVs can make sure that their existing and new customers can have seamless experience with Fabric while using ISV applications. This approach is already being used by hundreds of ISVs.
2. Develop Apps on Fabric: Organizations and application providers can embed Fabric as part of their solution offerings, enabling rapid application development and deployment—using Fabric’s platform security, identity, storage, and compute model.
3. Build a Fabric workload: ISVs can provide a familiar look and feel of Fabric and make their applications discoverable from within the Fabric experience by extending Fabric’s capabilities through building a Fabric workload.

All ISVs can implement the first two approaches with Microsoft Fabric today. The third approach is still under development and is currently only accessible by invitation only.

Designing for the future

We are also excited to announce our collaboration with several industry-leading ISVs who have been demonstrating the possibilities of bringing their product experiences as workloads into Fabric, widening their reach and breadth of capabilities.

Microsoft and LSEG are collaborating to bring LSEG’s financial markets intelligence offerings into Fabric as first-class experiences to customers in the financial services industry and beyond. We are incredibly excited about this collaboration that will allow our joint customers to derive more value from LSEG’s high-value financial data and their unique data transformation capabilities.

“LSEG’s trusted financial markets intelligence natively integrated into Microsoft Fabric, will make data access, discovery and digital rights management easier and more cost effective for our customers. In collaboration with Microsoft, we are empowering our customers to focus on creating unique insights bringing the transformational power of Generative AI.”—Dmitri Sedov, Global Group Head, Data Intelligence.

For businesses relying on spatial analytics, Esri is helping transform decision-making with spatial insights that will be enabled directly within the Microsoft Fabric experience, powered by their ArcGIS service.

“Esri and Microsoft are reshaping how everyone works with data. Now data professionals will have direct access to core Esri capabilities inside of their Microsoft Fabric environment. We are pleased to advance our important work with Microsoft and see the power of spatial insights unlocked for our shared customers.”—Jack Dangermond, President of Esri.

Informatica is delivering its AI-powered Cloud Data Management solution as a unified experience with Microsoft Fabric, addressing customers’ critical data challenges to find, understand, govern, and trust data.

SAS Intelligent Decisioning engine integrated into Microsoft Fabric will drive real-time interactions, and define the next best actions at scale, providing unprecedented ability to automate decisions across the enterprise.

Teradata is delivering its AI Unlimited serverless AI/machine learning engine via Microsoft Fabric enabling customers to go beyond SQL and extract additional value from their data, all stored in an open format in OneLake.

The combination of mass distribution, instant access to the customer’s data estate, and a strong community is getting enthusiastic reactions from ISVs, serving the needs of customers across industry verticals and horizontals. We’d love for you to get familiar with and evaluate Microsoft Fabric as an open platform for your application.

Learn more about Microsoft Fabric

• Watch the ISV session at Microsoft Ignite 2023.
• Check out the pathways to integrate with Fabric.
• Nominate to Azure Innovate for comprehensive investments.
• Publish to the Commercial Marketplace.

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