Compare Microsoft Azure SQL Data Warehouse vs. Teradata

Microsoft Azure SQL Data Warehouse is ranked 2nd in Cloud Data Warehouse with 10 reviews while Teradata is ranked 3rd in Relational Databases with 10 reviews. Microsoft Azure SQL Data Warehouse is rated 7.8, while Teradata is rated 8.0. 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". On the other hand, the top reviewer of Teradata writes "Cuts time to process huge amounts of data with efficient analytical queries". Microsoft Azure SQL Data Warehouse is most compared with Snowflake, Amazon Redshift and SAP BW/4HANA, whereas Teradata is most compared with SQL Server, Oracle Exadata and Amazon Redshift.
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Most Helpful Review
Find out what your peers are saying about Snowflake Computing, Microsoft, Micro Focus and others in Cloud Data Warehouse. Updated: January 2020.
397,717 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 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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It is a stable program.The most valuable features are the Shared-nothing architecture and data protection functionality.The feature that we find most valuable is its ability to perform Massive Parallel Processing.It handles large amounts of information with a linear performance increase, in relation to a HW investment.It has a solid set of tools and consulting services.It has massive parallel processing ability to do large amounts of concurrent querying.It has given our business the ability to gain insights into the data and create data labs for analysis and PoCs.Cuts time to process huge amounts of data with efficient analytical queries.

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Cons
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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An additional feature I would you like to see included in the next release, is that it needs to be more cloud-friendly.The user interface needs to be improved.I would like to see an improved Knowledge Base on the web.It needs a teaching web site with more training on third-party tools used for BI.We tried to use case Teradata for a data warehouse system, but we had some problems in relation to the Teradata system, CDC tools, and source databases. We were unable to transfer data from HPE Integrity mainframe to Teradata.There is a need to improve performance in high transaction processes, as well as the reporting system.Query language and its functionality are rather limited, compared to Oracle or even SQL Server. However, it is possible to perform any kind of logic in it (though some workarounds may be required).Data ingestion is done via external utilities and not by the query language itself. It would be more convenient to have that functionality within its SQL dialect.

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Pricing and Cost Advice
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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The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space.We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise.Price is quite high, so if it is really possible to use other solutions (e.g. you do not have strict requirements for performance and huge data volumes), it might be better to look at alternatives from the RDBMS world.

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Ranking
2nd
Views
8,085
Comparisons
6,960
Reviews
10
Average Words per Review
496
Avg. Rating
7.7
3rd
Views
21,508
Comparisons
16,278
Reviews
12
Average Words per Review
213
Avg. Rating
8.1
Top Comparisons
Compared 21% of the time.
Compared 17% of the time.
Compared 12% of the time.
Also Known As
Microsoft Azure SQL DW, Azure SQL Data Warehouse
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Microsoft
Teradata
Overview

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.

Teradata's portfolio of big data analytic solutions, integrated marketing applications, and services help organizations gain a sustainable competitive advantage with data.

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Learn more about Microsoft Azure SQL Data Warehouse
Learn more about Teradata
Sample Customers
Toshiba, Carnival, LG Electronics, Jet.com, Adobe, Netflix
Top Industries
VISITORS READING REVIEWS
Software R&D Company42%
Comms Service Provider9%
Financial Services Firm9%
Manufacturing Company5%
REVIEWERS
Comms Service Provider38%
Logistics Company13%
Financial Services Firm13%
Energy/Utilities Company13%
VISITORS READING REVIEWS
Software R&D Company40%
Financial Services Firm12%
Comms Service Provider9%
Media Company8%
Find out what your peers are saying about Snowflake Computing, Microsoft, Micro Focus and others in Cloud Data Warehouse. Updated: January 2020.
397,717 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.