Compare Microsoft Analytics Platform System vs. Microsoft Azure SQL Data Warehouse

Microsoft Analytics Platform System is ranked 15th in Data Warehouse with 2 reviews while Microsoft Azure SQL Data Warehouse is ranked 2nd in Cloud Data Warehouse with 10 reviews. Microsoft Analytics Platform System is rated 8.0, while Microsoft Azure SQL Data Warehouse is rated 7.8. The top reviewer of Microsoft Analytics Platform System writes "Easy to install, good connectivity with databases, and good reporting". 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". Microsoft Analytics Platform System is most compared with Apache Hadoop, Microsoft Azure SQL Data Warehouse and Oracle Exadata, whereas Microsoft Azure SQL Data Warehouse is most compared with Snowflake, SAP BW/4HANA and Amazon Redshift.
Cancel
You must select at least 2 products to compare!
Most Helpful Review
Find out what your peers are saying about Snowflake Computing, Teradata, Oracle and others in Data Warehouse. Updated: February 2020.
398,259 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
This solution will connect to any database, you can combine databases, and you can create a cube or tabular model.It is closely integrated with other products in the MS portfolio.Helps our customers to discover trends, which provides useful information based on their business.

Read more »

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.

Read more »

Cons
The flexibility of this solution needs to be improved because you cannot make changes at every one of the different steps.​Hybrid environments are complex to manage.

Read more »

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.

Read more »

Pricing and Cost Advice
Information Not Available
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.

Read more »

report
Use our free recommendation engine to learn which Data Warehouse solutions are best for your needs.
398,259 professionals have used our research since 2012.
Ranking
15th
out of 30 in Data Warehouse
Views
881
Comparisons
477
Reviews
1
Average Words per Review
204
Avg. Rating
8.0
2nd
Views
8,085
Comparisons
6,960
Reviews
10
Average Words per Review
496
Avg. Rating
7.7
Top Comparisons
Also Known As
Microsoft APSMicrosoft Azure SQL DW, Azure SQL Data Warehouse
Learn
Microsoft
Microsoft
Overview
The Microsoft Analytics Platform System can meet the demands of your evolving data warehouse environment with its scale-out, massively parallel processing integrated system supporting hybrid data warehouse scenarios. It provides the ability to query across relational and non-relational data by leveraging Microsoft PolyBase and industry-leading big data technologies. It offers the lowest price per terabyte for large data warehouse workloads.

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.

Offer
Learn more about Microsoft Analytics Platform System
Learn more about Microsoft Azure SQL Data Warehouse
Sample Customers
Transport for London, E-Plus Mobilfunk GmbH & Co. KG, Prometeia, Tangerine, SSM Health Care, Service Corporation InternationalToshiba, Carnival, LG Electronics, Jet.com, Adobe,
Top Industries
No Data Available
VISITORS READING REVIEWS
Software R&D Company42%
Comms Service Provider9%
Financial Services Firm9%
Manufacturing Company5%
Find out what your peers are saying about Snowflake Computing, Teradata, Oracle and others in Data Warehouse. Updated: February 2020.
398,259 professionals have used our research since 2012.
We monitor all 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.