Azure Synapse as an analytics service for your data
Introduction to Synapse as a PaaS and why Microsoft Fabric is becoming increasingly important
Which platform is suitable as a central analysis service for your data depends on many factors. With Azure Synapse, Microsoft offers a PaaS offering that stands out in particular due to its high scalability, integration capabilities, especially with regard to other Azure services, and cost efficiency. But the proven SaaS platform Microsoft Fabric also attracts. The central data lake One Lake and collaborative data processing based on Parquet Delta files are currently considered game changers for daily data analysis. We will introduce you to the topics.
Die Analyze your data can be significantly simplified with Platform as a Service. If you've dealt with the topic before, you'll probably have come across Microsoft's analytics service, Azure Synapse. Synapse is particularly suitable if you want to process large amounts of data.
Azure Synapse is an integrated analytics platform from Microsoft designed to help you and your organization collect, manage, process, and analyze data from multiple sources. Synapse is an evolution of the former Azure SQL Data Warehouse and offers advanced features and integrations.
Azure Synapse as PaaS for analyzing data
With Azure Synapse, companies collect and store data from various sources, including data lakes, data warehouses, local systems, and cloud-based services. The platform offers extensive data integration tools that allow you to create and manage data pipelines to extract, transform, and load data from various sources.
The platform also provides powerful data analytics capabilities, including built-in machine learning algorithms and advanced analytics services. You can perform complex queries and analyses on big amounts of data to gain valuable insights and make informed business decisions.
Azure Synapse also offers built-in security features and meets strict compliance requirements to ensure the security and protection of sensitive corporate data. It also enables collaboration within teams through integrated tools and features. Azure Synapse therefore offers you various services that you can use in different ways.
Source: microsoft
Building cloud architectures in Azure Synapse
Azure Synapse is suitable as an integrated analysis platform for building a cloud environment for several reasons. It allows you to scale performance and storage capacity based on your needs. You can flexibly add or remove resources to ensure high scalability and performance. This is particularly important if you're working with large amounts of data or need to handle peak loads.
Azure Synapse also has extensive data integration features that allow you to extract, transform, and load data from various sources. It supports both structured and unstructured data and provides tools for data cleansing and data transformation. This allows you to efficiently prepare your data for analysis. Even advanced analyses are easy to handle, as Azure Synapse offers advanced analysis functions for this purpose. This includes integrated machine learning algorithms and advanced analytics services. It allows you to perform complex queries, machine learning, and big data analytics to gain valuable insights and insights from your data.
As usual at Microsoft, security and compliance are also a top priority in Azure Synapse. Azure Synapse has built-in security features and meets strict compliance requirements. It offers encryption, identity and access management, and monitoring features to protect your data. Azure Synapse is also integrated with other Azure services that provide additional security features.
Last but not least, Azure Synapse Studio offers you a comprehensive development environment for data integration, data analysis and collaboration. It gives you teamwork, version control, notebook integration, and simplified workflows. This allows your teams to work together efficiently and increase their productivity.
Azure Synapse or Microsoft Fabric?
Microsoft Fabric is a software-as-a-service platform that has been generally available since November 2023 and has continued to evolve since then. This is exciting at this point because Synapse is integrated into Fabric. In the official documentation from Microsoft It says: “Microsoft Fabric is an all-in-one analytics solution for companies that covers everything from data movement to data science, real-time analytics, and business intelligence.”
Image source: microsoft
Microsoft has now invested massively in Fabric — with regular feature updates, dedicated conferences such as FabCon, and a growing community. We at taod are also as Microsoft Fabric Featured Partner certified and have gained extensive experience with the platform in numerous projects.
Your data analysis with Microsoft Fabric
You can see Microsoft Fabric as a kind of orchestrator that aligns all of your processes related to analyzing your data. The special feature: The entire data journey — from data collection and storage to transformation and analysis — takes place on a single SaaS platform and based on the central OneLake data lake. All users work on the same database and save their data sets as Parquet delta files. This means that whether data engineer, data analyst or consumer of reports, they all use the same data independently of each other for their own tasks in the data journey. All data is combined in a single lake. As an end user, you can access data directly from Power BI, among other things. You can do without a separate data import here.
From our project experience, we can share that Fabric is particularly impressive due to browser-based SaaS accessibility, the powerful notebooks based on Apache Spark in combination with the Lakehouse, and the proven orchestration pipelines. Areas such as continuous integration and continuous deployment are being continuously expanded, and Microsoft delivers new features and improvements in short cycles.
Synapse or fabric — which suits you?
Companies that currently use Azure Synapse should evaluate Microsoft Fabric and consider whether a change in technology makes sense. Some features from Synapse are not included in Fabric. In addition, data would have to be migrated manually from Synapse to Fabric, as there are no fully automated import and adjustment options.
If you don't currently use Azure Synapse or Microsoft Fabric, you're faced with an exciting decision: Synapse as PaaS gives you more control over infrastructure and configuration, while Fabric as SaaS minimizes operational costs and offers seamless integration into the Microsoft ecosystem (Power BI, M365, Azure). The cost models also differ significantly — Synapse charges based on resource consumption, Fabric uses a capacity-based model.
For companies with a strong Microsoft focus and the desire for a holistic platform, Fabric is the more strategically sustainable choice. Synapse remains a solid solution for existing Azure landscapes and scenarios where PaaS control is required.
