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Amazon Redshift vs Microsoft Parallel Data Warehouse comparison

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Featured Review
Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon and others in Cloud Data Warehouse. Updated: January 2022.
565,689 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 feature is the scalability, as it grows according to our needs.""I like the cost-benefit ratio, meaning that it is as easy to use as it is powerful and well-performing.""I find the most valuable features to be the MPP style of processing, which mostly all of the data warehouses provide. The ability to integrate all other AWS services, such as NSS and S3, with little effort is very helpful. The service is well maintained, there are update patches frequently.""This service can merge and integrate well with all databases.""It is quite simple to use and there are no issues with creating the tables.""Amazon Redshift is very fast. It has really good response times. It's very user-friendly.""Redshift's Excel features are handy. Redshift spectrum allows you to directly query the data on an Excel sheet. Now, SQL Server also allows this, but Redshift has many more features.""The initial setup is easy."

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"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 or ease of use when getting a resource and knowing everything about it.""It is not a pricey product compared to other data warehouse solutions.""Tools like the BI and SAS are excellent."

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Cons
"Planting is the primary key enforcement that should be improved.""In our experiments, the handling of unstructured data was not very smooth.""The refreshment rate of data reaching Redshift from other sources should be faster.""Improvement could be made in the area of streaming data.""There is some missing functionality and sometimes it's so difficult to work in. We need to convert these functionalities using VACUUM inside Amazon Redshift and then it causes some complexity.""Amazon should provide more cloud-native tools that can integrate with Redshift like Microsoft's development tools for Azure.""There are too many limitations with respect to concurrency.""It takes a lot of time to ingest and update the data."

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"We find the cost of the solution to be a little high.""They need to incorporate a machine learning engine.""I would like the tool to support different operating systems.""It could be made more user-friendly for business users which would increase the user base."

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Pricing and Cost Advice
  • "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."
  • "The price of the solution is reasonable. According to the RA3 cluster particularly, it provides 128 GB of storage with only four nodes. If you can manage your computations processes with the help of materialized views and proper queries. I think the IP clusters are very useful and overall fair for the price."
  • "This solution implements the pay-as-you-use model, so no license. Pricing could be cheaper."
  • More Amazon Redshift Pricing and Cost Advice →

  • "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 →

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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: 
    Redshift's Excel features are handy. Redshift spectrum allows you to directly query the data on an Excel sheet. Now, SQL Server also allows this, but Redshift has many more features.
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    Ranking
    4th
    Views
    12,282
    Comparisons
    9,547
    Reviews
    12
    Average Words per Review
    509
    Rating
    7.7
    10th
    out of 30 in Data Warehouse
    Views
    2,445
    Comparisons
    1,871
    Reviews
    3
    Average Words per Review
    664
    Rating
    7.7
    Comparisons
    Also Known As
    Microsoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data Warehouse, MS Parallel Data Warehouse
    Learn More
    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 449
    Auckland Transport, Erste Bank Group, Urban Software Institute, NJVC, Sheraton Hotels and Resorts, Tata Steel Europe
    Top Industries
    REVIEWERS
    Comms Service Provider29%
    Retailer21%
    Logistics Company14%
    Computer Software Company14%
    VISITORS READING REVIEWS
    Computer Software Company29%
    Comms Service Provider13%
    Media Company10%
    Financial Services Firm8%
    REVIEWERS
    Computer Software Company27%
    Pharma/Biotech Company18%
    Comms Service Provider9%
    Hospitality Company9%
    VISITORS READING REVIEWS
    Computer Software Company27%
    Comms Service Provider16%
    Insurance Company9%
    Financial Services Firm8%
    Company Size
    REVIEWERS
    Small Business31%
    Midsize Enterprise36%
    Large Enterprise33%
    REVIEWERS
    Small Business32%
    Midsize Enterprise14%
    Large Enterprise55%
    Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon and others in Cloud Data Warehouse. Updated: January 2022.
    565,689 professionals have used our research since 2012.

    Amazon Redshift is ranked 4th in Cloud Data Warehouse with 12 reviews while Microsoft Parallel Data Warehouse is ranked 10th in Data Warehouse with 3 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, Microsoft Azure Synapse Analytics, Oracle Exadata, Vertica and Teradata, whereas Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, SAP BW4HANA, Snowflake and Vertica.

    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.