The Microsoft Azure App Service is a PaaS that enables users to build, deploy, and scale web apps and APIs, a fully managed service with built-in infrastructure maintenance, security patching, and scaling. Includes Azure Web Apps, Azure Mobile Apps, Azure API Apps, allowing developers to use popular frameworks including .NET, .NET Core, Java, Node.js, Python, PHP, and Ruby.
$9.49
per month
SAS Data Management
Score 8.0 out of 10
N/A
A suite of solutions for data connectivity, enhanced transformations and robust governance. Solutions provide a unified view of data with access to data across databases, data warehouses and data lakes. Connects with cloud platforms, on-premises systems and multicloud data sources.
N/A
Pricing
Azure App Service
SAS Data Management
Editions & Modules
Shared Environment for dev/test
$9.49
per month
Basic Dedicated environment for dev/test
$54.75
per month
Standard Run production workloads
$73
per month
Premium Enhanced performance and scale
$146
per month
No answers on this topic
Offerings
Pricing Offerings
Azure App Service
SAS Data Management
Free Trial
Yes
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Free and Shared (preview) plans are ideal for testing applications in a managed Azure environment. Basic, Standard and Premium plans are for production workloads and run on dedicated Virtual Machine instances. Each instance can support multiple applications and domains.
—
More Pricing Information
Community Pulse
Azure App Service
SAS Data Management
Features
Azure App Service
SAS Data Management
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
Azure App Service
6.4
7 Ratings
19% below category average
SAS Data Management
-
Ratings
Ease of building user interfaces
7.57 Ratings
00 Ratings
Scalability
7.27 Ratings
00 Ratings
Platform management overhead
7.17 Ratings
00 Ratings
Workflow engine capability
6.45 Ratings
00 Ratings
Platform access control
7.76 Ratings
00 Ratings
Services-enabled integration
6.36 Ratings
00 Ratings
Development environment creation
6.57 Ratings
00 Ratings
Development environment replication
6.26 Ratings
00 Ratings
Issue monitoring and notification
6.47 Ratings
00 Ratings
Issue recovery
4.66 Ratings
00 Ratings
Upgrades and platform fixes
5.06 Ratings
00 Ratings
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Azure App Service
-
Ratings
SAS Data Management
8.3
10 Ratings
1% above category average
Connect to traditional data sources
00 Ratings
8.610 Ratings
Connecto to Big Data and NoSQL
00 Ratings
8.19 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Azure App Service
-
Ratings
SAS Data Management
6.7
8 Ratings
18% below category average
Simple transformations
00 Ratings
6.18 Ratings
Complex transformations
00 Ratings
7.48 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Azure App Service
-
Ratings
SAS Data Management
6.7
8 Ratings
15% below category average
Data model creation
00 Ratings
5.56 Ratings
Metadata management
00 Ratings
7.47 Ratings
Business rules and workflow
00 Ratings
6.67 Ratings
Collaboration
00 Ratings
7.07 Ratings
Testing and debugging
00 Ratings
6.17 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
You may easily deploy your apps to Azure App Service if they were written in Visual Studio IDE (typically.NET applications). With a few clicks of the mouse, you may already deploy your application to a remote server using the Visual Studio IDE. As a result of the portal's bulk and complexity, I propose Heroku for less-experienced developers.
When data is in a system that needs a complex transformation to be usable for an average user. Such tasks as data residing in systems that have very different connection speeds. It can be integrated and used together after passing through the SAS Data Integration Studio removing timing issues from the users' worries. A part that is perhaps less appropriate is getting users who are not familiar with the source data to set up the load processes.
SAS/Access is great for manipulating large and complex databases.
SAS/Access makes it easy to format reports and graphics from your data.
Data Management and data storage using the Hadoop environment in SAS/Access allows for rapid analysis and simple programming language for all your data needs.
You may wind up putting a lot of eggs in one basket--not necessarily a con but something to keep in mind (most of your data will likely be managed and processed through Microsoft products/services if you fully commit to Azure App Service).
Learning new technology. If you're moving from on-premises to Azure App Service (or any cloud solutions), you'll likely have to rethink how things are done to achieve the same end results (and/or resources may become expensive quickly).
I have given this rating because Azure App Service performs very well in terms of speed, reliability, and reducing overhead, and improves overall team productivity, with a little scope for improvement in complex testing scenarios and configurations, scalability concerns in a large setup, and similar tracking and audit needs.
The main negative point is the use of a non-standard language for customizations, as well as the poor integration with non-SAS systems. However, there is no doubt that it is a high-performance and powerful product capable of responding optimally to certain requirements.
Microsoft has always been known for providing a high standard in terms of customer support and Azure App Service (and as a matter of fact the whole Azure Platform) is no exception. Azure App Service never caused us any issues and we only contacted their customer support for questions regarding server locations and pricing. I feel pretty satisfied with how they treat their customers.
With SAS, you pay a license fee annually to use this product. Support is incredible. You get what you pay for, whether it's SAS forums on the SAS support site, technical support tickets via email or phone calls, or example documentation. It's not open source. It's documented thoroughly, and it works.
When we chose it, we did so because of its integration with Microsoft applications; now we need to integrate with AI, and Azure doesn't offer a good integration. That is the main reason to change it. It is still great to develop Windows- and Microsoft-based applications, but if we need to integrate with AI, Google wins by far.
Because of ease of using SAS DI and data processing speed. There were lots of issues with AWS Redshift on cloud environment in terms of making connections with the data sources and while fetching the data we need to write complex queries.
Deployment of ASP.NET apps at the organization has been sped up.
An option to offer access to the version control system on a third platform so that we could easily deploy our apps.
Because of Azure App Service's scalability capabilities, the costs of running the services are kept to a minimum. As a result, we may save hundreds of dollars each month compared to the expenses of traditional servers by using fewer resources during slack periods.