Microsoft Azure Synapse Analytics and Azure Data Factory compete in the cloud-based data integration and analytics categories. Azure Synapse Analytics has a competitive edge with its advanced SQL capabilities and seamless integration with Azure services.
Features: Microsoft Azure Synapse Analytics offers features such as Massive Parallel Processing architecture, analytics connectivity with Power BI, and flexibility in data handling. Its SQL functions are highly regarded, along with incremental load capabilities and built-in analytics. Azure Data Factory is appreciated for its drag-and-drop functionality, ease of orchestration of data pipelines, and its role in data transformation. It offers scalability and reliability, with a user-friendly experience for managing digital transformation pipelines.
Room for Improvement: Microsoft Azure Synapse Analytics could improve in terms of better integration, simplified configuration, and developing a more user-friendly interface. Enhancements in Active Directory integration and better monitoring of Azure SQL usage are desired. Azure Data Factory might improve with better real-time processing capabilities, more possibilities for third-party integrations, enhanced documentation, and additional database connector support. Users have noted difficulties with existing configurations and responsiveness of technical support.
Ease of Deployment and Customer Service: Microsoft Azure Synapse Analytics integrates well across multiple cloud regions and environments. However, customer service responsiveness is an area for improvement, often varying based on customer size. Azure Data Factory's deployment is versatile across different cloud environments, with generally satisfactory support. However, like Synapse, its responsiveness can vary by customer size. Both solutions offer community and documentation resources to address support concerns.
Pricing and ROI: Microsoft Azure Synapse Analytics is perceived as costly with a pay-as-you-go model that can be unpredictable, though it offers cost management options. It is particularly beneficial for organizations heavily invested in Microsoft technologies, often providing significant ROI. Azure Data Factory follows a similar pricing structure and is seen as reasonable and competitive, offering cost savings through efficient data integration and agility improvements. Both solutions provide ROI with variances in cost-effectiveness based on specific use cases.
Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.
The technical support from Microsoft is rated an eight out of ten.
The technical support is responsive and helpful
The technical support for Azure Data Factory is generally acceptable.
Not monitoring data results often in a big impact on customer services and customer perception.
They are slow to respond and not very knowledgeable.
Azure Data Factory is highly scalable.
For the scalability of Microsoft Azure Synapse Analytics, I would rate it a 10 until you remain in the Azure Cloud scalability framework.
Microsoft Azure Synapse Analytics is scalable, offering numerous opportunities for scalability.
The solution has a high level of stability, roughly a nine out of ten.
I find the service stable as I have not encountered many issues.
There is a problem with the integration with third-party solutions, particularly with SAP.
When using Git services, there are challenges with linked services and triggers getting overridden when moving between different environments (Dev, UAT, Prod).
Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically.
Databricks is a very rich solution, with numerous open sources and capabilities in terms of extract, transform, load, database query, and so forth.
There is a need for better documentation, particularly for customized tasks with Microsoft Azure Synapse Analytics.
The pricing is cost-effective.
It is considered cost-effective.
I think the price of Microsoft Azure Synapse Analytics is very expensive, but that's not only for Microsoft Azure Synapse Analytics—it's for the cloud in general.
It connects to different sources out-of-the-box, making integration much easier.
The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.
The interface of Azure Data Factory is very usable with a more interactive visual experience, making it easier for people who are not as experienced in coding to work with.
For Microsoft Azure Synapse Analytics, the integration is the most valuable feature, meaning that whatever you need is fast and easy to use.
Microsoft Azure Synapse Analytics offers significant visibility, which helps us understand our usage more clearly.
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.
