Compare Microsoft Parallel Data Warehouse vs. Snowflake Analytics

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Most Helpful Review
Find out what your peers are saying about Snowflake Computing, Oracle, Apache and others in Data Warehouse. Updated: July 2021.
522,281 professionals have used our research since 2012.
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Pricing and Cost Advice
"I think the program is well-priced compared to the other offerings that are out in the market.""Microsoft has an agreement with the government in our country, so our customers get their licensing costs from the Ministry. Whenever we work with any government, company, or government institute, which is mainly what we are doing, that license comes directly from the Ministry of Technology and Information.""All the features that we use do not require any additional subscription or yearly fees."

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522,281 professionals have used our research since 2012.
Questions from the Community
Top Answer: I'd like to connect something like ES that I can use on objects on our SQL Server. We'd like to be able to understand how to export data to something like Semantic Technologies or like Graph DB. Some… more »
Top Answer: We did a PoC with Snowflake.  scale up and down works as advertised.  Be careful with large ETL streams.  We would have to rewrite at least 20% of our ETL to make Snowflake meet or beat our current… more »
out of 30 in Data Warehouse
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out of 30 in Web Analytics
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Also Known As
Microsoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data Warehouse, MS Parallel Data Warehouse, MS Parallel Data Warehouse, MS Parallel Data Warehouse
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The traditional structured relational data warehouse was never designed to handle the volume of exponential data growth, the variety of semi-structured and unstructured data types, or the velocity of real time data processing. Microsoft's SQL Server data warehouse solution integrates your traditional data warehouse with non-relational data and it can handle data of all sizes and types, with real-time performance.

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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Sample Customers
Auckland Transport, Erste Bank Group, Urban Software Institute, NJVC, Sheraton Hotels and Resorts, Tata Steel Europe
Lionsgate, Adobe, Sony, Capital One, Akamai, Deliveroo, Snagajob, Logitech, University of Notre Dame, Runkeeper
Top Industries
Computer Software Company27%
Pharma/Biotech Company18%
Comms Service Provider9%
Hospitality Company9%
Computer Software Company24%
Comms Service Provider17%
Financial Services Firm10%
Insurance Company7%
Computer Software Company25%
Comms Service Provider15%
Pharma/Biotech Company15%
Company Size
Small Business32%
Midsize Enterprise18%
Large Enterprise50%
No Data Available
Find out what your peers are saying about Snowflake Computing, Oracle, Apache and others in Data Warehouse. Updated: July 2021.
522,281 professionals have used our research since 2012.

Microsoft Parallel Data Warehouse is ranked 6th in Data Warehouse with 11 reviews while Snowflake Analytics is ranked 15th in Web Analytics. Microsoft Parallel Data Warehouse is rated 7.6, while Snowflake Analytics is rated 0.0. The top reviewer of Microsoft Parallel Data Warehouse writes "Collects data through SSIS packages from different sources and puts them all in one data repository". On the other hand, Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, Snowflake, SAP BW4HANA and Teradata, whereas Snowflake Analytics is most compared with Adobe Analytics, Mixpanel, Amplitude, Segment and Glassbox.

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We monitor all 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.