Compare Amazon Redshift vs. Microsoft Azure SQL Data Warehouse

Amazon Redshift is ranked 4th in Cloud Data Warehouse with 8 reviews while Microsoft Azure SQL Data Warehouse is ranked 3rd in Cloud Data Warehouse with 10 reviews. Amazon Redshift is rated 7.8, while Microsoft Azure SQL Data Warehouse is rated 7.8. The top reviewer of Amazon Redshift writes "Good performance and integrates well with our Tableau solution". On the other hand, the top reviewer of Microsoft Azure SQL Data Warehouse writes "A good solution for simple data warehousing that scales well, but it needs better technical support". Amazon Redshift is most compared with Snowflake, Teradata and Oracle Exadata, whereas Microsoft Azure SQL Data Warehouse is most compared with Snowflake, Amazon Redshift and SAP BW/4HANA. See our Amazon Redshift vs. Microsoft Azure SQL Data Warehouse report.
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Most Helpful Review
Find out what your peers are saying about Amazon Redshift vs. Microsoft Azure SQL Data Warehouse and other solutions. Updated: January 2020.
391,045 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 processing of data is very fast.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 product is relatively easy to use because there is no indexing and no partitions.The initial setup of this solution is straightforward.The solution's flexibility is its most valuable feature. It's also easy to scale and has relatively painless pricing.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.

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The most valuable feature of the solution is the analytics and that it can connect with Power BI.The most valuable feature is the incremental load because we do not need to refresh the entire data on a daily basis.Azure elasticity allows us to scale as much as we want, and it is pay-as-you-go, so we can scale up as we need to.The features we've found most valuable for data warehouses is extracting data, SSIS packages, and the DBs.The main advantage of using this solution is its ability to scale and handle very large amounts of data, in the petabyte range.The most valuable feature is the scalability.The MPP (Massively Parallel Processing) architecture helps to make things a lot faster.The initial setup was really easy and straightforward.

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Cons
It would be useful to have an option where all of the data can be queried at once and then have the result shown.Pricing is one of the things that it could improve. It should be more competitive.The product could be improved by making it more flexible.Running parallel queries results in poor performance and this needs to be improved.The speed of the solution and its portability needs improvement.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.

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I would like my team to be able to build pipelines that integrate with the Azure Data Factory.I would like to see version control implemented into the data warehouse.The configuration for things like high-availability could be more user-friendly for non-technical users.I'm not entirely happy with the billing model. I'm not entirely happy with how the enterprise services are pretty expensive, but that's about it.With respect to what needs to be improved, concurrent connectivity has some limitations.It's pay as you go, so you never know what your bill is going to be beforehand, and that's scary for customers. If you have someone who makes a mistake and the program's a loop that is running all night, you could receive a very expensive bill.This is a young product in transition to the cloud and it needs more work before it is both settled as a product and competitive in the market.It would be of interest to improve things like the web service integration and availability in terms of being easy to create internal web services in the database.

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Pricing and Cost Advice
The best part about this solution is the cost.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.

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The licensing fees for this solution are on a pay-per-use basis, and not very expensive.When we are not using this solution we can simply shut it down saving us costs, which is a nice advantage.This solution starts at €1000.00 a month for just the basics and can go up to €300,000.00 per month for the fastest version.The pricing is okay. You can pay as you go.The price of this solution could be improved.

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Ranking
4th
Views
13,266
Comparisons
9,506
Reviews
6
Average Words per Review
274
Avg. Rating
7.7
3rd
Views
7,694
Comparisons
6,686
Reviews
10
Average Words per Review
496
Avg. Rating
7.7
Top Comparisons
Compared 21% of the time.
Compared 20% of the time.
Compared 13% of the time.
Also Known As
Microsoft Azure SQL DW, Azure SQL Data Warehouse
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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.

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.

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Sample Customers
Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449Toshiba, Carnival, LG Electronics, Jet.com, Adobe,
Top Industries
REVIEWERS
Comms Service Provider33%
Logistics Company11%
Software R&D Company11%
Retailer11%
VISITORS READING REVIEWS
Software R&D Company35%
Media Company14%
Comms Service Provider8%
Financial Services Firm8%
VISITORS READING REVIEWS
Software R&D Company41%
Financial Services Firm11%
Comms Service Provider7%
Manufacturing Company6%
Find out what your peers are saying about Amazon Redshift vs. Microsoft Azure SQL Data Warehouse and other solutions. Updated: January 2020.
391,045 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.