CATIA from Dassault Systemes is a 3D product modeling and design tool used across multiple industries.
N/A
Microsoft Azure
Score 8.4 out of 10
N/A
Microsoft Azure is a cloud computing platform and infrastructure for building, deploying, and managing applications and services through a global network of Microsoft-managed datacenters.
$29
per month
Pricing
CATIA
Microsoft Azure
Editions & Modules
No answers on this topic
Developer
$29
per month
Standard
$100
per month
Professional Direct
$1000
per month
Basic
Free
per month
Offerings
Pricing Offerings
CATIA
Microsoft Azure
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
The free tier lets users have access to a variety of services free for 12 months with limited usage after making an Azure account.
More Pricing Information
Community Pulse
CATIA
Microsoft Azure
Features
CATIA
Microsoft Azure
Computer-Aided Design Software
Comparison of Computer-Aided Design Software features of Product A and Product B
CATIA
8.3
2 Ratings
11% above category average
Microsoft Azure
-
Ratings
3D Modeling
8.32 Ratings
00 Ratings
2D Drafting
8.32 Ratings
00 Ratings
Rendering and Visualization
7.22 Ratings
00 Ratings
Parametric Design
10.01 Ratings
00 Ratings
Collaboration and Sharing
8.01 Ratings
00 Ratings
Compatibility with other software and formats
6.01 Ratings
00 Ratings
Assembly Design
10.01 Ratings
00 Ratings
Simulation and Analysis
8.01 Ratings
00 Ratings
Documentation and Annotation
7.01 Ratings
00 Ratings
Customization and Extensions
10.01 Ratings
00 Ratings
Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
When it comes to modelling a product using multiple parts, CATIA becomes tedious. One need someone to sit with and learn with the experience from a frequent user. If switching from any other software to CATIA, it can be intimidating as learning curve is lengthy. For example, when working with complex shape in a knuckle joint, more steps are needed in part modelling. This cause part modelling lengthier and consume time more time, in comparison to SOLIDWORKS. However, CATIA is tremendously helpful in generating really complex features. Surface modelling is way easier when one know how to use it. It becomes really handy to make changes to the design later as well. The design history tree is also very well organized, which save time in later modifications
Azure is particularly well suited for enterprise environments with existing Microsoft investments, those that require robust compliance features, and organizations that need hybrid cloud capabilities that bridge on-premises and cloud infrastructure. In my opinion, Azure is less appropriate for cost-sensitive startups or small businesses without dedicated cloud expertise and scenarios requiring edge computing use cases with limited connectivity. Azure offers comprehensive solutions for most business needs but can feel like there is a higher learning curve than other cloud-based providers, depending on the product and use case.
Microsoft Azure is highly scalable and flexible. You can quickly scale up or down additional resources and computing power.
You have no longer upfront investments for hardware. You only pay for the use of your computing power, storage space, or services.
The uptime that can be achieved and guaranteed is very important for our company. This includes the rapid maintenance for security updates that are mostly carried out by Microsoft.
The wide range of capabilities of services that are possible in Microsoft Azure. You can practically put or create anything in Microsoft Azure.
The software is pretty heavy, even with computers designed for heavy-duty loads, resulting in long wait times to load files and make changes, reducing productivity.
The cost of resources is difficult to determine, technical documentation is frequently out of date, and documentation and mapping capabilities are lacking.
The documentation needs to be improved, and some advanced configuration options require research and experimentation.
Microsoft's licensing scheme is too complex for the average user, and Azure SQL syntax is too different from traditional SQL.
Moving to Azure was and still is an organizational strategy and not simply changing vendors. Our product roadmap revolved around Azure as we are in the business of humanitarian relief and Azure and Microsoft play an important part in quickly and efficiently serving all of the world. Migration and investment in Azure should be considered as an overall strategy of an organization and communicated companywide.
As Microsoft Azure is [doing a] really good with PaaS. The need of a market is to have [a] combo of PaaS and IaaS. While AWS is making [an] exceptionally well blend of both of them, Azure needs to work more on DevOps and Automation stuff. Apart from that, I would recommend Azure as a great platform for cloud services as scale.
We got frequent updates on CATIA. There are lots of update notes. Also, there are lots of lots of videos online to solve the issues that you can stumble upon. It also has a built-in help manual, which helps occasionally. I have gotten my education through a physical class on CATIA, so there are opportunities like that as well.
We were running Windows Server and Active Directory, so [Microsoft] Azure was a seamless transition. We ran into a few, if any support issues, however, the availability of Microsoft Azure's support team was more than willing and able to guide us through the process. They even proposed solutions to issues we had not even thought of!
As I have mentioned before the issue with my Oracle Mismatch Version issues that have put a delay on moving one of my platforms will justify my 7 rating.
You can create solid or 3D figures more easily and efficiently using Catia than in other programs or in specific AutoCAD. You can also create different pieces to later assemble them and thus create figures even more complex or in greater detail. In the same way, you can make 2D drawings without much complication.
As I continue to evaluate the "big three" cloud providers for our clients, I make the following distinctions, though this gap continues to close. AWS is more granular, and inherently powerful in the configuration options compared to [Microsoft] Azure. It is a "developer" platform for cloud. However, Azure PowerShell is helping close this gap. Google Cloud is the leading containerization platform, largely thanks to it building kubernetes from the ground up. Azure containerization is getting better at having the same storage/deployment options.
For about 2 years we didn't have to do anything with our production VMs, the system ran without a hitch, which meant our engineers could focus on features rather than infrastructure.
DNS management was very easy in Azure, which made it easy to upgrade our cluster with zero downtime.
Azure Web UI was easy to work with and navigate, which meant our senior engineers and DevOps team could work with Azure without formal training.