Compare Amazon Redshift vs. Microsoft Parallel Data Warehouse

Cancel
You must select at least 2 products to compare!
Most Helpful Review
Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon and others in Cloud Data Warehouse. Updated: November 2020.
446,626 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
"It allows you write complex queries and perform row by row processes.""It allows for the storage of huge amounts of data.""The most valuable features are that it's easy to set up and easy to connect the many tools that connect to it.""The solution's flexibility is its most valuable feature. It's also easy to scale and has relatively painless pricing.""The initial setup of this solution is straightforward.""The product is relatively easy to use because there is no indexing and no partitions.""In terms of valuable features, I like the columnar storage that Redshift provides. The storage is one of the key features that we're looking for. Also, the data updates and the latency between the data-refreshes.""The processing of data is very fast."

More Amazon Redshift Pros »

"I am very satisfied with the customer service/technical support.""The most valuable features are the performance and usability.""The most valuable feature for me is querying.""One of the most important features is the ease of using MS SQL.""The most valuable feature of this solution is performance.""The data transmissions between the data models is the most valuable feature.""The most valuable feature is the business intelligence (BI) part of it.""We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."

More Microsoft Parallel Data Warehouse Pros »

Cons
"In the next release, a pivot function would be a big help. It could save a lot of time creating a query or process to handle operations.""Compatibility with other products, for example, Microsoft and Google, is a bit difficult because each one of them wants to be isolated with their solutions.""The speed of the solution and its portability needs improvement.""Running parallel queries results in poor performance and this needs to be improved.""The product could be improved by making it more flexible.""Pricing is one of the things that it could improve. It should be more competitive.""It would be useful to have an option where all of the data can be queried at once and then have the result shown.""It takes a lot of time to ingest and update the data."

More Amazon Redshift Cons »

"In the future I would love to see a slightly better automation engine, just for the data integration layer, to make it slightly easier for end-users or junior developers to get involved in incremental updating.""More tools to help designers should be included.""I would like to see better visualization features.""I think that the error messages need to be made more specific.""The reporting for certain types of data needs to be improved.""This solution would be improved with an option for in-memory data analysis.""If the database is large with a lot of columns then it is difficult to clean the data.""I would like the tool to support different operating systems."

More Microsoft Parallel Data Warehouse Cons »

Pricing and Cost Advice
"It's around $200 US dollars. There are some data transfer costs but it's minimal, around $20.""The best part about this solution is the cost.""The part that I like best is that you only pay for what you are using.""My customers have implementations that cost about $500 a month for a very small one. I also have a customer with a monthly invoice of about $25,000 USD.""At the moment, pricing is a little bit on the higher side, although it depends on the size of the company."

More Amazon Redshift 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."

More Microsoft Parallel Data Warehouse Pricing and Cost Advice »

report
Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.
446,626 professionals have used our research since 2012.
Questions from the Community
Top Answer: The processing of data is very fast.
Top Answer: Of course I would advise others to choose Amazon Redshift, as long as pricing is not a concern for them.
Top Answer: It would be useful to have an option where all of the data can be queried at once and then have the result shown. As it is now, when we run a query and we are looking at the results, part of the data… more »
Top Answer: Collecting the data through SSIS packages from different sources and putting them all in one data repository is the most powerful thing. While others have this feature, they don't have the simplicity… more »
Top Answer: 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… more »
Top Answer: The setup has room for improvement. Some customers want to go to non-Windows Servers. Have the entire SQL Server done there though is an obstacle for us, as the configuration of Microsoft BI with… more »
Ranking
3rd
Views
13,977
Comparisons
9,906
Reviews
11
Average Words per Review
483
Avg. Rating
7.6
6th
out of 30 in Data Warehouse
Views
2,651
Comparisons
1,932
Reviews
11
Average Words per Review
486
Avg. Rating
7.6
Popular Comparisons
Compared 20% of the time.
Compared 14% of the time.
Compared 14% of the time.
Also Known As
Microsoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data Warehouse
Learn
Amazon
Microsoft
Overview

Amazon Redshift is a fast and powerful, fully managed, petabyte-scale data warehouse service in the cloud. Customers can start small for just $0.25 per hour with no commitments or upfront costs and scale to a petabyte or more for $1,000 per terabyte per year, less than a tenth of most other data warehousing solutions.

Traditional data warehouses require significant time and resource to administer, especially for large datasets. In addition, the financial cost associated with building, maintaining, and growing self-managed, on-premise data warehouses is very high. Amazon Redshift not only significantly lowers the cost of a data warehouse, but also makes it easy to analyze large amounts of data very quickly.

Amazon Redshift gives you fast querying capabilities over structured data using familiar SQL-based clients and business intelligence (BI) tools using standard ODBC and JDBC connections. Queries are distributed and parallelized across multiple physical resources. You can easily scale an Amazon Redshift data warehouse up or down with a few clicks in the AWS Management Console or with a single API call. Amazon Redshift automatically patches and backs up your data warehouse, storing the backups for a user-defined retention period. Amazon Redshift uses replication and continuous backups to enhance availability and improve data durability and can automatically recover from component and node failures. In addition, Amazon Redshift supports Amazon Virtual Private Cloud (Amazon VPC), SSL, AES-256 encryption and Hardware Security Modules (HSMs) to protect your data in transit and at rest.

As with all Amazon Web Services, there are no up-front investments required, and you pay only for the resources you use. Amazon Redshift lets you pay as you go. You can even try Amazon Redshift for free.

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.

Offer
Learn more about Amazon Redshift
Learn more about Microsoft Parallel Data Warehouse
Sample Customers
Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449Auckland Transport, Erste Bank Group, Urban Software Institute, NJVC, Sheraton Hotels and Resorts, Tata Steel Europe
Top Industries
REVIEWERS
Comms Service Provider36%
Logistics Company18%
Manufacturing Company9%
Retailer9%
VISITORS READING REVIEWS
Computer Software Company38%
Media Company15%
Comms Service Provider10%
Financial Services Firm4%
REVIEWERS
Computer Software Company25%
Pharma/Biotech Company17%
Comms Service Provider8%
Hospitality Company8%
VISITORS READING REVIEWS
Computer Software Company29%
Comms Service Provider12%
Financial Services Firm10%
Media Company7%
Company Size
REVIEWERS
Small Business25%
Midsize Enterprise43%
Large Enterprise32%
REVIEWERS
Small Business36%
Midsize Enterprise14%
Large Enterprise50%
Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon and others in Cloud Data Warehouse. Updated: November 2020.
446,626 professionals have used our research since 2012.
Amazon Redshift is ranked 3rd in Cloud Data Warehouse with 11 reviews while Microsoft Parallel Data Warehouse is ranked 6th in Data Warehouse with 11 reviews. Amazon Redshift is rated 7.6, while Microsoft Parallel Data Warehouse is rated 7.6. The top reviewer of Amazon Redshift writes "Scales according to our needs, which saves a lot in terms of upfront costs". On the other hand, 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". Amazon Redshift is most compared with Snowflake, Teradata, Oracle Exadata and Oracle Autonomous Data Warehouse, whereas Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, Snowflake, VMware Tanzu Greenplum and SAP BW4HANA.

See our list of .

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.