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Microsoft Azure Synapse Analytics vs Snowflake comparison

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Comparison Summary
Question: Which is better - Azure Synapse Analytics or Snowflake?
Answer: If you are dealing with semi-structured data like json Snowflake has great support in handling and querying json data. it is also good to use as data lake and can act as one stop solution for a data lake and cloud data warehouse. query performance and low maintainability is also what makes snowflake a great choice.
Featured Review
Find out what your peers are saying about Microsoft Azure Synapse Analytics vs. Snowflake and other solutions. Updated: January 2022.
564,143 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
"The integrated workspace in Microsoft Azure Synapse Analytics where everything comes together, such as Power BI and Data Factory, is very good. Additionally, the ability to do dedicated SQL pooling is a benefit.""The features most valuable are the simplicity, how easy it is to create a dashboard from different information systems.""The most valuable feature is the level of processing power, and being able to complete tasks in parallel.""The solution has been working well overall.""The pricing seems to be quite fair.""We've had a good experience with technical support in general.""We have found that it is easy to develop and to do the analytics in the modules of data.""Fills the gap between big data and classic data warehouses."

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"The technical support on offer is excellent.""It was relatively easy to use, and it was easy for people to convert to it.""The overall ecosystem was easy to manage. Given that we weren't a very highly technical group, it was preferable to other things we looked at because it could do all of the cloud tunings. It can tune your data warehouse to an appropriate size for controlled billing, resume and sleep functions, and all such things. It was much more simple than doing native Azure or AWS development. It was stable, and their support was also perfect. It was also very easy to deploy. It was one of those rare times where they did exactly what they said they could do.""The solution is very stable.""It's ultra-fast at handling queries, which is what we find very convenient.""The ability to share the data and the ability to scale up and down easily are the most valuable features. The concept of data sharing and data plumbing made it very easy to provide and share data. The ability to refresh your Dev or QA just by doing a clone is also valuable. It has the dynamic scale up and scale down feature. Development and deployment are much easier as compared to other platforms where you have to go through a lot of stuff. With a tool like DBT, you can do modeling and transformation within a single tool and deploy to Snowflake. It provides continuous deployment and continuous integration abilities. There is a separation of storage and compute, so you only get charged for your usage. You only pay for what you use. When we share the data downstream with business partners, we can specifically create compute for them, and we can charge back the business.""From a data warehouse perspective, it's an excellent all-round solution. It's very complete.""The snapshot feature is good, the rollback feature is good and the interface is user-friendly."

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Cons
"This solution needs to have query caching so that if the same query is run and the results are available, it will return the data from the cache without having to re-run the query.""Indicating what areas need improvement in this solution is a difficult question because the organizations that I am working for are really new in this area. However, an even better more simple interface, or perhaps an extension of a connector app store solution, would be helpful.""More integration is needed to improve the product for the future.""The initial setup is complex.""Documentation could be improved.""It's a complicated product.""Integration with other products is an area that can be improved.""Right now, we are really struggling with the performance. it's not as good as we had hoped."

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"Every product has room for improvement, although in this case, it needs some broadening of the functionality.""They need to improve its ETL functionality so that Snowflake becomes an ETL product. Snowpipe can do some pipelines and data ingestion, but as compare to Talend, these functionalities are limited. The ETL feature is not good enough. Therefore, Snowflake can only be used as a database. You can't use it as an ETL tool, which is a limitation. We have spoken to the vendor, and they said they are working on it, but I'm not sure when they will bring it to production.""There are a lot of features that they need to come up with. A lot of functions are missing in Snowflake, so we have to find a workaround for those. For example, OUTER APPLY is a basic function in SQL Server, but it is not there in Snowflake. So, you have to write complex code for it.""It's difficult to know how to size everything correctly.""Portability is a big hurdle right now for our clients. Porting all of your existing SQL ecosystem, such as stored procedures, to Snowflake is a major pain point. Currently, Snowflake stored procedures use JavaScript, but they should support SQL-based stored procedures. It would be a huge advantage if you can write your stored procedures using SQL. It seems that they are working on this feature, and they are yet to release it. I remember seeing some notes saying that they were going to do that in the future, but the sooner this feature comes out, it would be better for Snowflake because there are a lot of clients with whom I'm interacting, and their main hurdle is to take their existing Oracle or SQL Server stored procedures and move them into Snowflake. For this, you need to learn JavaScript and how it works, which is not easy and becomes a little tricky. If it supports SQL-based procedures, then you can just cut-paste the SQL code, run it, and easily fix small issues.""Its pricing or affordability is one of the big challenges. Pricing was the only thing that we didn't like about Snowflake. In terms of technical features, it is a complete solution.""Product activation queries can't be changed while executing.""They should improve the reporting tools."

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Pricing and Cost Advice
  • "All of the prices are available online."
  • "Our license is very expensive"
  • "They are cost aggressive, and it integrates well with other Microsoft tools."
  • "There is a cost calculator available online that allows you to input your entire scenario, and it will get back to you with information on what the costs are going to be."
  • "Its price could be better. It was a school project, and I got it for free. If I try to pay through my company, it is a little bit more expensive as compared to Oracle."
  • "The price of the package not expensive and depends on how much it is used."
  • "The cost of the licensing depends on the size of the warehouse, where the cost of storage is approximately $130 USD per terabyte."
  • "This is a cost-effective product."
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  • "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."
  • "The price of Snowflake is quite reasonable."
  • "Its price should be improved. It should be cheaper than Microsoft."
  • "It is per credit. It has a use-it-as-you-go model. We bought a chunk of 20,000 credits, and they were lasting us for at least a year. We didn't have the scale of data like a much larger company to consume more credits. For us, it was very inexpensive. Their strategy is just to leverage what you've got and put Snowflake in the middle. It doesn't make it expensive because most of the organizations already have reporting tools. Now, if you were starting from scratch, it might be cheaper to go a different way."
  • More Snowflake Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: 
    Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different… more »
    Top Answer: 
    Traditional ETL would usually use a dedicated database (or even database server) where you'll load & transform your raw data before ingesting it into the final destination. This would allow checking… more »
    Top Answer: 
    Fills the gap between big data and classic data warehouses.
    Top Answer: 
    Once you have finished your designs they can be easily imported to Snowflake and the information can be readily accessed without an IT expert.
    Top Answer: 
    For our licensing, we renew every January by $25,000 in both credits. Their pricing structure is a pay-per-second usage in terms of credits, but you can get discounts if you buy them in bulk. I think… more »
    Top Answer: 
    The documentation could improve. They should provide architecture information. There could be better integration with tools other than the common databases used to receive data. There are other tools… more »
    Ranking
    2nd
    Views
    26,962
    Comparisons
    19,760
    Reviews
    31
    Average Words per Review
    530
    Rating
    8.0
    1st
    Views
    37,053
    Comparisons
    27,399
    Reviews
    40
    Average Words per Review
    578
    Rating
    8.4
    Comparisons
    Also Known As
    Azure Synapse Analytics, Microsoft Azure SQL Data Warehouse, Microsoft Azure SQL DW, Azure SQL Data Warehouse, MS Azure Synapse Analytics
    Snowflake Computing
    Learn More
    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
    Computer Software Company21%
    Comms Service Provider16%
    Manufacturing Company11%
    Insurance Company11%
    VISITORS READING REVIEWS
    Computer Software Company27%
    Comms Service Provider18%
    Financial Services Firm6%
    Energy/Utilities Company6%
    REVIEWERS
    Computer Software Company39%
    Financial Services Firm11%
    Comms Service Provider7%
    Manufacturing Company7%
    VISITORS READING REVIEWS
    Computer Software Company27%
    Comms Service Provider15%
    Financial Services Firm8%
    Insurance Company5%
    Company Size
    REVIEWERS
    Small Business33%
    Midsize Enterprise21%
    Large Enterprise46%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise13%
    Large Enterprise71%
    REVIEWERS
    Small Business25%
    Midsize Enterprise27%
    Large Enterprise48%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise15%
    Large Enterprise68%
    Find out what your peers are saying about Microsoft Azure Synapse Analytics vs. Snowflake and other solutions. Updated: January 2022.
    564,143 professionals have used our research since 2012.

    Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 34 reviews while Snowflake is ranked 1st in Cloud Data Warehouse with 41 reviews. Microsoft Azure Synapse Analytics is rated 7.8, while Snowflake is rated 8.4. 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 "Good usability, good data sharing and elastic compute features, and requires less DBA involvement". Microsoft Azure Synapse Analytics is most compared with Amazon Redshift, SAP BW4HANA, Apache Hadoop, Oracle Autonomous Data Warehouse and AWS Lake Formation, whereas Snowflake is most compared with Amazon Redshift, Vertica, Teradata, Oracle Exadata and AWS Lake Formation. See our Microsoft Azure Synapse Analytics vs. Snowflake report.

    See our list of best Cloud Data Warehouse vendors.

    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.