Compare Microsoft Azure Synapse Analytics vs. Snowflake

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Most Helpful Review
Find out what your peers are saying about Microsoft Azure Synapse Analytics vs. Snowflake and other solutions. Updated: January 2021.
457,459 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"Scaling this solution is easy and the uptime is okay.""The most valuable features are the flexibility and that it's easy to use as an end-user compared to AWS.""The initial setup was really easy and straightforward.""The MPP (Massively Parallel Processing) architecture helps to make things a lot faster.""The most valuable feature is the scalability.""The main advantage of using this solution is its ability to scale and handle very large amounts of data, in the petabyte range.""The features we've found most valuable for data warehouses is extracting data, SSIS packages, and the DBs.""Azure elasticity allows us to scale as much as we want, and it is pay-as-you-go, so we can scale up as we need to."

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"As long as you don't need to worry about the storage or cost, this solution would be one of the best ones on the market for scalability purposes.""The most valuable features are the clustering, LS50, being able to change the size, the pay per use feature, the flexibility with many different sources and analytic applications.""They separate compute and storage. You can scale storage independently of the computer, or you can scale computing independently of storage. If you need to buy more computer parts you can add new virtual warehouses in Snowflake. Similarly, if you need more storage, you take more storage. It's most scalable in the database essentially; typically you don't have this scalability independence on-premises.""The initial setup is straightforward. You just need to follow the documentation.""The thing I find most valuable is that scalability, space storage, and computing power is separate. When you scale up, it is live from one second to the next — constantly available as you scale — so there is no downtime or interruption of services.""It has great flexibility whenever we are loading data and performs ELT (extract, load, transform) techniques instead of ETL.""I like the idea that you can assign roles and responsibilities, limiting access to data.""The most valuable feature is the snapshot database. In one second, you can just take a snapshot of the database for test purposes."

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Cons
"I would like to see better integration with Active Directory, because we have had problems, and we still do.""The initial setup process needs improvement. When you're moving to the cloud it takes a bit of time. It would be great if they could implement something that would make it faster.""It would be of interest to improve things like the web service integration and availability in terms of being easy to create internal web services in the database.""This is a young product in transition to the cloud and it needs more work before it is both settled as a product and competitive in the market.""It's pay as you go, so you never know what your bill is going to be beforehand, and that's scary for customers. If you have someone who makes a mistake and the program's a loop that is running all night, you could receive a very expensive bill.""With respect to what needs to be improved, concurrent connectivity has some limitations.""I'm not entirely happy with the billing model. I'm not entirely happy with how the enterprise services are pretty expensive, but that's about it.""The configuration for things like high-availability could be more user-friendly for non-technical users."

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"There are some stored procedures that we've had trouble with. The solution also needs to fine-tune the connectors to be able to connect into the system source.""Support needs improvement, as it can take several days before you get some initial support.""The solution should offer an on-premises version also. We have some requirements where we would prefer to use it as a template.""The solution could improve the user interface and add functionality to the system.""Maybe there could be some more connectors to other systems, but this is what they are constantly developing anyway.""They do have a native connector to connect with integration tools for loading data, but it would be much better to have the functionality built-in.""If you go with one cloud provider, you can't switch.""Availability is a problem."

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Pricing and Cost Advice
"The price of this solution could be improved.""The pricing is okay. You can pay as you go.""This solution starts at €1000.00 a month for just the basics and can go up to €300,000.00 per month for the fastest version.""When we are not using this solution we can simply shut it down saving us costs, which is a nice advantage.""The licensing fees for this solution are on a pay-per-use basis, and not very expensive.""All of the prices are available online.""Our license is very expensive""They are cost aggressive, and it integrates well with other Microsoft tools."

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"Pricing can be confusing for customers.""The whole licensing system is based on credit points. You can also make a license agreement with the company so that you buy credit points and then you use them. What you do not use in one year can be carried over to the next year.""You pay based on the data that you are storing in the data warehouse and there are no maintenance costs.""It is not cheap.""The pricing for Snowflake is competitive.""On average, with the number of queries that we run, we pay approximately $200 USD per month.""Pricing is approximately $US 50 per DB. Terabyte is around $US 50 per month.""The price of Snowflake is very reasonable."

More Snowflake Pricing and Cost Advice »

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Questions from the Community
Top Answer: Apache Hadoop is for data lake use cases. But getting data out of Hadoop for meaningful analytics is indeed need quite an amount of work. by either using spark/Hive/presto and so on. The way i look at… more »
Top Answer: The most valuable feature is the snapshot database. In one second, you can just take a snapshot of the database for test purposes.
Ranking
2nd
Views
14,299
Comparisons
11,655
Reviews
25
Average Words per Review
518
Rating
8.0
1st
Views
30,694
Comparisons
20,985
Reviews
21
Average Words per Review
531
Rating
8.2
Popular Comparisons
Compared 7% of the time.
Compared 7% of the time.
Compared 6% of the time.
Compared 6% of the time.
Also Known As
Azure Synapse Analytics, Microsoft Azure SQL Data Warehouse, Microsoft Azure SQL DW, Azure SQL Data WarehouseSnowflake Computing
Learn
Microsoft
Snowflake Computing
Overview

Azure SQL Data Warehouse is a Fast, flexible, and secure analytics platform for the enterprise. Azure SQL Data Warehouse lets you independently scale compute and storage, while pausing and resuming your data warehouse within minutes through a massively parallel processing architecture designed for the cloud. Seamlessly create your hub for analytics along with native connectivity with data integration and visualization services, all while using your existing SQL and BI skills.

Snowflake provides a data warehouse built for the cloud, delivering a solution capable of solving problems for which legacy, on-premises and cloud data platforms were not designed.

Offer
Learn more about Microsoft Azure Synapse Analytics
Learn more about Snowflake
Sample Customers
Toshiba, Carnival, LG Electronics, Jet.com, Adobe, Accordant Media, Adobe, Kixeye Inc., Revana, SOASTA, White Ops
Top Industries
REVIEWERS
Manufacturing Company18%
Comms Service Provider18%
Computer Software Company18%
Transportation Company9%
VISITORS READING REVIEWS
Computer Software Company34%
Comms Service Provider17%
Energy/Utilities Company6%
Financial Services Firm5%
REVIEWERS
Computer Software Company30%
Manufacturing Company20%
Financial Services Firm20%
Media Company10%
VISITORS READING REVIEWS
Computer Software Company33%
Comms Service Provider15%
Financial Services Firm7%
Media Company5%
Company Size
REVIEWERS
Small Business27%
Midsize Enterprise23%
Large Enterprise50%
REVIEWERS
Small Business30%
Midsize Enterprise19%
Large Enterprise52%
VISITORS READING REVIEWS
Small Business5%
Midsize Enterprise18%
Large Enterprise77%
Find out what your peers are saying about Microsoft Azure Synapse Analytics vs. Snowflake and other solutions. Updated: January 2021.
457,459 professionals have used our research since 2012.

Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 26 reviews while Snowflake is ranked 1st in Cloud Data Warehouse with 21 reviews. Microsoft Azure Synapse Analytics is rated 8.0, while Snowflake is rated 8.2. The top reviewer of Microsoft Azure Synapse Analytics writes "Scalable, intuitive, facilitates compliance and keeping your data secure". On the other hand, the top reviewer of Snowflake writes "Fast, convenient and requires almost no administration". Microsoft Azure Synapse Analytics is most compared with SAP BW4HANA, Amazon Redshift, Oracle Autonomous Data Warehouse, Microsoft Parallel Data Warehouse and Oracle Exadata, whereas Snowflake is most compared with Firebolt, Amazon Redshift, Vertica, Teradata and Oracle Autonomous Data Warehouse. See our Microsoft Azure Synapse Analytics vs. Snowflake report.

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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.