Microsoft Azure Synapse Analytics and Snowflake Analytics are competitors in data analytics platforms. Azure Synapse has the advantage in integration within the Microsoft ecosystem, whereas Snowflake is preferred for its simplicity and flexibility in multi-cloud environments.
Features: Azure Synapse offers seamless integration with Microsoft products, robust data processing, and AI capabilities. Its scalability and ease of setup are praised, along with SQL functions and integration with Power BI. Snowflake is known for seamless data sharing, flexibility across cloud environments, and zero maintenance needs. Users value its performance, user-friendliness, and scalability, with features like time travel and zero-copy cloning being notable.
Room for Improvement: Azure Synapse users point out the complex initial setup, and desire for better integration with Power BI and Active Directory, along with improved monitoring and cost management. Enhancements in portal interface and data factory integration are suggested. Snowflake users seek advanced machine learning capabilities, better real-time transaction processing, and AI tool integration. A more robust interface and clearer storage cost optimization options are requested. Multi-cloud support could be better for both platforms.
Ease of Deployment and Customer Service: Azure Synapse is compatible with diverse deployment environments, but customer service is mixed with issues in responsiveness for smaller accounts. Snowflake is favored for public cloud deployments for its ease and platform compatibility, with generally efficient support, yet consistent high-level tech support could be improved. Azure Synapse excels in Microsoft ecosystem integrations, while Snowflake offers agile deployment and straightforward customer service.
Pricing and ROI: Azure Synapse uses a pay-as-you-go model, which can result in unpredictable costs. It's recognized as cost-effective when included in Microsoft bundles but has a complex cost structure. Users report good ROI due to reduced hardware and maintenance costs. Snowflake's compute and storage separation is seen as cost-efficient for data-heavy operations, with a flexible billing process, enhancing affordability for various organizational sizes. Both solutions have pricing strategies impacting client satisfaction regarding ROI.
Not monitoring data results often in a big impact on customer services and customer perception.
They are slow to respond and not very knowledgeable.
The technical support for Snowflake Analytics is excellent based on what I have heard from others.
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.
It supports both horizontal and vertical scaling effectively.
Storage is unlimited because they use S3 if it is AWS, so storage has no limit.
I find the service stable as I have not encountered many issues.
Snowflake Analytics is stable, scoring around eight point five to nine out of ten.
There is a need for better documentation, particularly for customized tasks with Microsoft Azure Synapse Analytics.
Databricks is a very rich solution, with numerous open sources and capabilities in terms of extract, transform, load, database query, and so forth.
If it offered flexibility similar to Oracle and supported more heterogeneous data sources and database connectivity, it would be even better.
AIML-based SQL prompt and query generation could be an area for enhancement.
Navigating the user console can be challenging, particularly when looking for details like the account ID.
When you scale the solution, the cloud doesn't work anymore in terms of cost.
Snowflake Analytics is quite economical.
Snowflake charges per query, which amounts to a very minor cost, such as $0.015 per query.
Snowflake is better and cheaper than Redshift and other cloud warehousing systems.
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.
Snowflake Analytics supports data security with a single sign-on feature and complies with framework regulations, which is highly beneficial.
Running a considerable query on Microsoft SQL Server may take up to thirty minutes or an hour, while Snowflake executes the same query in less than three minutes.
It is a data offering where I can see data lineage, data governance, and data security.
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."
Conventional data platforms and big data solutions struggle to deliver on their fundamental purpose: to enable any user to work with any data, without limits on scale, performance or flexibility. Whether you’re a data analyst, data scientist, data engineer, or any other business or technology professional, you’ll get more from your data with Snowflake.
To achieve this, we built a new data platform from the ground up for the cloud. It’s designed with a patented new architecture to be the centerpiece for data pipelines, data warehousing, data lakes, data application development, and for building data exchanges to easily and securely share governed data. The result, A platform delivered as a service that’s powerful but simple to use.
Snowflake’s cloud data platform supports a multi-cloud strategy, including a cross-cloud approach to mix and match clouds as you see fit. Snowflake delivers advantages such as global data replication, which means you can move your data to any cloud in any region, without having to re-code your applications or learn new skills.
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