Azure Synapse Analytics and Azure Data Factory compete in the cloud-based data integration and analytics market. Synapse Analytics stands out in analytics due to its advanced features, while Data Factory is preferred for its user-friendly ETL processes and ease of integration.
Features: Synapse Analytics offers scalability through its MPP architecture, advanced analytics, and integration with Power BI, making it ideal for handling large datasets. Data Factory provides a straightforward user interface, comprehensive ETL capabilities, and seamless integration with Microsoft services, offering flexible data transformation and movement.
Room for Improvement: Synapse Analytics could benefit from pricing refinements and improved integration with external systems, as well as enhancements in governance and UI. Data Factory needs a more simplified pricing model and better integration with systems like SAP and Oracle, along with improved transformation capabilities and documentation.
Ease of Deployment and Customer Service: Synapse Analytics is available in public and hybrid cloud environments, with mixed reviews of customer support. Users appreciate contact with Microsoft, though response times can vary. Data Factory is similarly flexible in deployment and generally receives positive feedback for its responsive customer service, with its lighter interface helping quick deployments.
Pricing and ROI: Synapse Analytics offers flexible consumption-based pricing, which can be costly if not well-managed but provides significant ROI via reduced on-premise expenses and improved analytics. Data Factory uses a pay-as-you-go model, known for affordability and straightforward budgeting, delivering value through integration capabilities when usage is well-managed.
Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.
Microsoft Azure Synapse Analytics is an end-to-end analytics solution that successfully combines analytical services to merge big data analytics and enterprise data warehouses into a single unified platform. The solution can run intelligent distributed queries among nodes, and provides the ability to query both relational and non-relational data.
Microsoft Azure Synapse Analytics is built with these 4 components:
Microsoft Azure Synapse Analytics Features
Microsoft Azure Synapse Analytics has many valuable key features, including:
Microsoft Azure Synapse Analytics Benefits
Some of the benefits of using Microsoft Azure Synapse Analytics include:
Reviews from Real Users
Below are some reviews and helpful feedback written by Microsoft Azure Synapse Analytics users who are currently using the solution.
PeerSpot user Jael S., who is an Information Architect at Systems Analysis & Design Engineering, comments on her experience using the product, saying that it is “Scalable, intuitive, facilitates compliance and keeps your data secure”. She also says "We also like governance. It looks at what the requirements are for the company to identify the best way to ensure compliance is met when you move to the cloud."
Michel T., CHTO at Timp-iT, mentions that "the features most valuable are the simplicity, how easy it is to create a dashboard from different information systems."
A Senior Teradata Consultant at a tech services company says, "Microsoft provides both the platform and the data center, so you don't have to look for a cloud vendor. It saves you from having to deal with two vendors for the same task."
We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
