Compare Amazon Redshift vs. Microsoft Parallel Data Warehouse

Amazon Redshift is ranked 3rd in Cloud Data Warehouse with 3 reviews while Microsoft Parallel Data Warehouse is ranked 14th in Data Warehouse with 2 reviews. Amazon Redshift is rated 8.6, while Microsoft Parallel Data Warehouse is rated 4.6. The top reviewer of Amazon Redshift writes "Easy to set up and easy to connect the many tools that connect to it". On the other hand, the top reviewer of Microsoft Parallel Data Warehouse writes "Concurrency issues forced the customer to use the raw DB as a secondary solution". Amazon Redshift is most compared with Snowflake, Teradata and Oracle Exadata, whereas Microsoft Parallel Data Warehouse is most compared with Oracle Exadata, Snowflake and Teradata.
Cancel
You must select at least 2 products to compare!
Most Helpful Review
Find out what your peers are saying about Micro Focus, Snowflake Computing, Amazon and others in Cloud Data Warehouse. Updated: August 2019.
365,423 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 most valuable features are that it's easy to set up and easy to connect the many tools that connect to it.It allows you write complex queries and perform row by row processes.It allows for the storage of huge amounts of data.The ability to reload data multiple times at different times.

Read more »

It handles high volumes of data very well.​It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time.​

Read more »

Cons
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.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.Should be made available across zones, like other Multi-AZ solutions.

Read more »

It needs more compatibility with common BI tools.​Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution.

Read more »

Pricing and Cost Advice
It's around $200 US dollars. There are some data transfer costs but it's minimal, around $20.Per hour pricing is helpful to keep the costs of a pilot down, but long-term retention is expensive.

Read more »

Information Not Available
report
Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.
365,423 professionals have used our research since 2012.
Ranking
3rd
Views
12,402
Comparisons
8,925
Reviews
3
Average Words per Review
195
Avg. Rating
8.7
14th
out of 30 in Data Warehouse
Views
2,995
Comparisons
2,240
Reviews
2
Average Words per Review
116
Avg. Rating
4.5
Top Comparisons
Compared 22% of the time.
Compared 18% 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 Provider29%
Recruiting/Hr Firm14%
Pharma/Biotech Company14%
Manufacturing Company14%
VISITORS READING REVIEWS
Software R&D Company22%
Financial Services Firm14%
Manufacturing Company11%
Insurance Company7%
No Data Available
Find out what your peers are saying about Micro Focus, Snowflake Computing, Amazon and others in Cloud Data Warehouse. Updated: August 2019.
365,423 professionals have used our research since 2012.
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.
Sign Up with Email