Companies looking at data architecture and business intelligence solutions in the Microsoft ecosystem will sooner or later come up against the same question: Microsoft Fabric vs Azure Synapse Analytics - which is right for us? Both platforms promise scalable data analysis. And yet they differ fundamentally in their philosophy, architecture and area of application.
In this article, we explain the key differences between Microsoft Fabric and Azure Synapse Analytics, show which solution is suitable for whom.
Microsoft Fabric is a cloud-based analytics platform that is provided as Software-as-a-Service (SaaS). It combines under one roof:
At the heart of Fabric is OneLake - a central, unified data lake that is accessed by all components of the platform. Files are stored in open formats such as Delta Lake and Apache Iceberg, which minimizes vendor lock-in and maximizes interoperability.
Particularly relevant for enterprise use: Microsoft Copilot is deeply integrated into Fabric and enables AI-supported analyses, code generation and natural language data queries directly in the platform.
Generally available since 2020, Azure Synapse Analytics is positioned as a Platform-as-a-Service (PaaS) solution for enterprise data integration and analytics. Synapse brings the following core capabilities:
Synapse's data storage is flexibly configurable - typically Azure Data Lake Storage Gen2 (ADLS Gen2). The platform is primarily aimed at experienced data engineers and architects who require full control over their infrastructure.
|
Category |
Microsoft Fabric |
Azure Synapse Analytics |
|
Type |
Unified SaaS platform |
PaaS service / workspace |
|
Target group |
Companies of all sizes |
Data engineers & architects |
|
Data storage |
OneLake (central data lake) |
ADLS Gen2 (configurable) |
|
AI integration |
Copilot deeply integrated |
Azure ML connection external |
|
License model |
Capacity-based (F-SKUs) |
Resource-based (DWUs, vCores) |
|
User friendliness |
High - low-code/no-code |
Medium - technical entry |
|
Open source formats |
Delta Lake, Parquet |
Parquet, Delta Lake |
|
Governance |
Microsoft Purview possible |
Purview connection possible |
|
Availability |
GA since November 2023 |
GA since 2020 |
Microsoft Fabric is designed as a fully managed SaaS service. This means that Microsoft takes care of infrastructure, updates and capacity management. For companies without a dedicated cloud infrastructure team, this is a decisive advantage - the platform is ready to use immediately, without time-consuming configuration.
Azure Synapse, on the other hand, is a PaaS offering: companies have full control over resources, scaling and configuration. This enables highly granular cost optimization and customization, but requires corresponding technical expertise and more operational effort.
One of the most differentiating features is how data storage is handled. Fabric introduces OneLake - a single, logically unified data lake for the entire organization. Every department, every team uses the same data storage, which structurally dissolves data silos.
Azure Synapse is more flexible in terms of storage configuration, but also more complex: companies have to configure and manage their own ADLS Gen2 account. In heterogeneous environments, this can be an advantage - in homogeneous environments, it is often just additional complexity.
Microsoft Fabric is built from the ground up for the AI age. Microsoft Copilot is natively embedded and supports users in querying data in natural language, generating SQL code or describing data flows. This significantly lowers the barrier to entry for business users.
In Azure Synapse, AI is primarily accessible via external services such as Azure Machine Learning or Azure OpenAI Service. Integration is possible, but not seamless - and requires separate configuration and authorization management.
Fabric is deliberately aimed at a broad target group: from data scientists to business analysts. The uniform interface, the workspace concept and low-code functions make it much easier to get started.
Azure Synapse requires more prior technical knowledge. Its strengths lie in its flexibility and depth - this is an advantage for specialized data teams that require tailor-made solutions.
Fabric uses a capacity-based model (so-called F-SKUs). Companies purchase or book Fabric Capacity - all services on the platform are billed using this. This simplifies cost planning and control considerably.
Azure Synapse bills based on resources: Dedicated SQL pools via DWUs, Spark via vCores, pipelines via activity executions. For experienced teams, this offers optimization potential - for others, it quickly leads to unexpected costs.
|
🔍 Note on the roadmap Microsoft has officially announced that it will continue to develop Azure Synapse Analytics in the direction of Microsoft Fabric. Many Synapse functions will be gradually transferred to Fabric. For new projects, Microsoft already recommends starting with Microsoft Fabric. |
Yes - and in practice this is a realistic transition phase for many companies. Existing Synapse workloads can be gradually migrated to Fabric, while new projects can be set up on Fabric from the outset. Microsoft provides migration guides and tools to facilitate this transition.
A structured migration strategy is crucial: Which workloads can be migrated immediately? Where are there technical or functional dependencies? Where will duplicate costs arise in the short term? These questions should be clarified before the start.
Microsoft Fabric is not just an upgrade of Azure Synapse - it is a paradigm shift in the way companies work with data. The unification of data storage, analytics, AI and reporting in a single SaaS platform eliminates structural silos and significantly reduces the total cost of ownership.
Azure Synapse remains relevant for technically demanding scenarios and existing architectures - but should be seen as part of a fabric strategy in the medium term, not as an alternative.
For companies investing in their data strategy today, Microsoft Fabric is the future-proof choice.
Would you like to know whether Microsoft Fabric or Azure Synapse Analytics is the right choice for your data strategy - and how to get started? Get in touch with us. We'll take a look together.
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