Snowflake and Microsoft Azure Synapse Analytics compete in the data management solutions category. Snowflake appears to have the upper hand in scalability and flexibility, with its real-time scaling capabilities, while Azure Synapse excels in integration, offering extensive processing power within Microsoft ecosystems.
Features: Snowflake's architecture allows real-time scaling without downtime, supporting diverse data file formats. Azure Synapse offers seamless integration with Microsoft services, ensuring robust data security and compliance. It provides comprehensive processing power ideal for enterprises with existing Microsoft infrastructure.
Room for Improvement: Snowflake could enhance its spatial data capabilities, streamline Snowpipe auto-ingest, and improve stored procedures and connectors. Pricing transparency and integration tools require refinement. Azure Synapse could benefit from interface simplification, improved real-time processing, and better data lake integration. Its complex initial setup and high costs call for user-friendly and cost-effective enhancements.
Ease of Deployment and Customer Service: Both Snowflake and Azure Synapse offer deployment flexibility across different cloud environments. Snowflake users appreciate its straightforward setup and resource efficiency but wish for improved customer support responsiveness. Azure Synapse provides robust global support but relies heavily on technical assistance, reflecting a steeper learning curve.
Pricing and ROI: Snowflake uses a pay-as-you-go pricing model focusing on usage, offering cost-efficiency but potentially unpredictable expenses. Proper optimization results in good ROI. Azure Synapse's consumption-based pricing might entail high costs for enterprise use but offers strong integration benefits for businesses embedded in Microsoft technologies. Cost management can be improved with strategic upfront commitments.
Not monitoring data results often in a big impact on customer services and customer perception.
They are slow to respond and not very knowledgeable.
I received great support in migrating data to Snowflake, with quick responses and innovative solutions.
The technical support from Snowflake is very good, nice, and efficient.
Microsoft Azure Synapse Analytics is scalable, offering numerous opportunities for scalability.
For the scalability of Microsoft Azure Synapse Analytics, I would rate it a 10 until you remain in the Azure Cloud scalability framework.
The billing doubles with size increase, but processing does not necessarily speed up accordingly.
Snowflake is very scalable and has a dedicated team constantly improving the product.
I find the service stable as I have not encountered many issues.
Snowflake as a SaaS offering means that maintenance isn't an issue for me.
Snowflake is very stable, especially when used with AWS.
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.
Enhancements in user experience for data observability and quality checks would be beneficial, as these tasks currently require SQL coding, which might be challenging for some users.
Cost reduction is one area I would like Snowflake to improve.
When you scale the solution, the cloud doesn't work anymore in terms of cost.
Snowflake's pricing is on the higher side.
Snowflake lacks transparency in estimating resource usage.
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.
One key feature is the separation of compute and storage, which eliminates storage limitations.
Being able to perform AI and Machine Learning in the same location as the data is quite advantageous.
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."
Snowflake provides a modern data warehousing solution with features designed for seamless integration, scalability, and consumption-based pricing. It handles large datasets efficiently, making it a market leader for businesses migrating to the cloud.
Snowflake offers a flexible architecture that separates storage and compute resources, supporting efficient ETL jobs. Known for scalability and ease of use, it features built-in time zone conversion and robust data sharing capabilities. Its enhanced security, performance, and ability to handle semi-structured data are notable. Users suggest improvements in UI, pricing, on-premises integration, and data science functions, while calling for better transaction performance and machine learning capabilities. Users benefit from effective SQL querying, real-time analytics, and sharing options, supporting comprehensive data analysis with tools like Tableau and Power BI.
What are Snowflake's Key Features?In industries like finance, healthcare, and retail, Snowflake's flexible data warehousing and analytics capabilities facilitate cloud migration, streamline data storage, and allow organizations to consolidate data from multiple sources for advanced insights and AI-driven strategies. Its integration with analytics tools supports comprehensive data analysis and reporting tasks.
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.
