Azure Synapse analytics provides a unified platform to businesses where they can explore, orchestrate, and visualize data. Businesses can also monitor data resources, allocate role-based data access, and write SQL/Spark codes. They can even integrate these codes with enterprise CI/CD processes.
While Azure Synapse helps businesses turn advanced analytics into actionable business insights, Azure Data Factory provides codeless data integration capabilities to businesses. Data Factory's cloud-based ETL services allow enterprises to create data-driven workflows. Using this platform, businesses can collate data from disparate stores. With Data Factory, you get access to services such as Azure HDInsight Hadoop, Azure Databricks, and Azure SQL Database.
In this article, let us delve deep into the features and the differences between Azure Synapse and Dada Factory platforms.
Did you know that both ADF and Synapse have the same data integration engine and experiences which help create rich ETL pipelines? To understand the platforms better, let us take a closer look at their respective features -
Key Features of Microsoft Azure Synapse Analytics
Usability - Data Factory brings you easy SQL Server Integration Services (SSIS), in-built Git, and CI/CD support. On this platform, you can build ETL and ELT pipelines code-free with just a few clicks.
Cost-effective - Azure Data Factory offers scalable serverless cloud services, which come with a pay-as-you-go facility.
Powerful - Collate your on-prem enterprise data with 90+ built-in connectors.
Intelligent - Data Factory is an intelligent intent-driven platform with autonomous ETL that facilities operational efficiencies and citizen integrators.
Hybrid Data Integration - Data Factory is fast, easy, and code-free. It simplifies the complexities and challenges of big data integration pipelines.
To begin with, Azure Synapse is an analytics service, while Data Factory is a hybrid data integration service. Synapse brings together data warehousing and big data analysis. Data Factory simplifies ETL at scale. Azure Data Factory deployments allow developers to integrate disparate data sources, but Synapse offers a unified experience to manage, prepare, and serve data for BI and ML needs. Data Factory lacks reporting applications like Power BI and needs improvement in terms of speed and time. Whereas, in the case of Synapse, integration with 3rd party tools is difficult; it lacks adequate SQL support.
To sum it up, Synapse and Data Factory are great platforms, each with its own unique features. Both the services have some similarities and dissimilarities; they have their set of individual pros and cons too. But understanding these two platforms is not enough. You need to understand your business needs too. After considering your business goals, you can decide which of these two platforms is the best for your organization. Can't seem to make up your mind? Consult a renowned software service provider today!
Flatworld Solutions is a premier service provider that offers Synapse pipelines and Azure Databricks services to clients in 160+ countries. We also provide other software development services to clients across industries and verticals. By outsourcing their requirement to us, our clients usually save up to 50% on administrative and operational costs. Also, they can focus on core business functions that lead to better business growth. Join the league of our 11,500+ happy clients today!
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