Microsoft Azure

3 Mins Read

Will Microsoft Fabric replace Azure Synapse Analytics?

Voiced by Amazon Polly

Overview of Microsoft Fabric

In the early months of 2023, Microsoft introduced Fabric in Public Preview. On 15th Nov 2023, they announced the General Availability of Microsoft Fabric. For data professionals already using Synapse as a Platform-as-a-Service (PaaS) version, here is a small effort to explain what Fabric means and what its future is.

Microsoft Fabric is a Cloud-centric, all-in-one big data analytics service that allows us to design, implement, and maintain systems that collect, store, process, and analyze large volumes of data. Fabric offers a comprehensive suite of services through experiences such as Synapse Data Engineering, Synapse Data Science, Synapse Data Warehouse, Synapse real-time analytics, Data Factory, Data Activator, and Power BI.

For Fabric, data, and workloads are stored in the centralized repository, OneLake- a single, unified, logical data lake for the whole organization. OneLake allows you to virtualize your existing data lakes within Fabric. All fabric engines come with separate storage from computing and store their data in OneLake using a single, open data format, i.e., delta lake format. Fabric comes with the flexibility of either Lakehouse or data warehouse architecture implementation or a combination of both to get the best of both with simple implementation.

Things to know about Fabric

  • To use MS Fabric service, you need a Power BI account and to sign up for the free Microsoft Fabric trial. If you don’t have a Power BI license, sign up for a Power BI free license and then use the Fabric trial.
  • Lake-centric and open: The following picture shows the end-to-end architecture of the Lakehouse with components.

  • Unified analytics platform: Here are components of MS Fabric,

  1. Data Engineering: Fabric’s big data analytics workload allows us to leverage the power of Apache Spark for large-scale data transformation and build out a Lakehouse architecture.
  2. Data Factory: It combines Power Query and Azure Data Factory into a data integration experience to perform the ETL (extract, load, and transform data) process. Powerful data orchestration allows us to build simple to complex data workflows with 300+ native connectors for integration.
  3. Data Science: Empowers data scientists to explore, build, and manage data-learning models with integrated Azure machine learning.
  4. Data Warehouse: Next generation of data warehousing in Microsoft Fabric with Delta Lake columnar storage engine for data with a SQL endpoint, fully separating compute from storage.
  5. Real-Time Analytics: Provides authentic streaming experience in Fabric. Builds on Azure Synapse Data Explorer Synapse Real-time Analytics to implement streamlined data analysis.
  6. Power BI: Provides Data Analytics and Data Visualization experience.
  7. Data Activator: No code platform to identify patterns and trigger actions (Teams messages, emails, Power Automate tasks, etc).
  • Fabric is AI-powered: Microsoft announced the public preview of Copilot in Fabric, which can be used with the Power BI, Data Factory, Data Engineering, and Data Science experiences. With Copilot in Fabric, we can create dataflows and pipelines, write SQL statements, build reports, or even develop machine learning models using natural language.

Cloud Consulting for AWS Media Services: Achieve Peak Performance

  • Unlock Efficiency
  • Transform Media Capabilities
Contact Us Now

The Fabric Vs. Azure Synapse Analytics


Azure Synapse Analytics

MS Fabric
Service Platform as a Service (PaaS) Software as a Service (SaaS)
Architectural Components/ Capabilities
Default Data Lake storage, Synapse SQL, Synapse Pipelines, Synapse Spark, Synapse Link OneLake storage, Data Factory, Synapse Data Warehousing, Synapse Data Engineering, Synapse Data Science, Synapse Real-Time Analytics, Power BI, and Data Activator.

SQL Database Engine
Serverless SQL pool,

Data Explorer Database

SQL Endpoint,

KQL Database/Dataset

Dedicated SQL pool Fabric Warehouse with Delta Lake Format

Apache Spark
Synapse Spark Pool for synapse notebooks and spark jobs Managed Spark Pool for notebooks and Spark job definition

Web-Based Portal
Synapse Studio Fabric Portal

Data Integration
Azure Synapse pipelines with Dataflow activity used to implement Extract, Transform, and Load processes. Data Factory capabilities like Pipeline and DataFlow (Gen2) are used to implement the ETL process.

Data Science
MLOps Data Science Experience

Real-time Data Analytics
Spark Streaming API in Synapse spark Real-time data analytics experience powered by Synapse

Role-based access control (RBAC) and Object/Row/Column level security is provided. OneLake Security layer manages access control across all Fabric objects.


Currently, Microsoft has no plans to retire Azure Synapse Analytics. Microsoft will provide advanced notice and adhere to the commitments to support the Modern Lifecycle Policy. Also, for data professionals, there is no straightforward best choice between Azure Synapse and Microsoft Fabric, as both can be used for different business needs. Organizations need no immediate change, and they can continue to use Microsoft’s current PaaS offering, i.e., Azure Synapse Analytics, to deploy, operate, and expand it. However, if an organization starts thinking of Microsoft Fabric as a future for data analytics solutions, then it is important to go with a thought process that considers factors such as data processing requirements, architecture, scalability requirements, and existing tools.

Drive Business Growth with AWS's Machine Learning Solutions

  • Scalable
  • Cost-effective
  • User-friendly
Connect Today

About CloudThat

Established in 2012, CloudThat is a leading Cloud Training and Cloud Consulting services provider in India, USA, Asia, Europe, and Africa. Being a pioneer in the cloud domain, CloudThat has special expertise in catering to mid-market and enterprise clients from all the major cloud service providers like AWS, Microsoft, GCP, VMware, Databricks, HP, and more. Uniquely positioned to be a single source for both training and consulting for cloud technologies like Cloud Migration, Data Platforms, DevOps, IoT, and the latest technologies like AI/ML, it is a top-tier partner with AWS and Microsoft, winning more than 8 awards combined in 11 years. Recently, it was recognized as the ‘Think Big’ partner from AWS and won the Microsoft Superstars FY 2023 award in Asia & India. Leveraging its position as a leader in the market, CloudThat has trained 650k+ professionals in 500+ cloud certifications and delivered 300+ consulting projects for 100+ corporates in 28+ countries.

WRITTEN BY Kanchan Kale



    Click to Comment

Get The Most Out Of Us

Our support doesn't end here. We have monthly newsletters, study guides, practice questions, and more to assist you in upgrading your cloud career. Subscribe to get them all!