The Heroku Platform, now from Salesforce, is a platform-as-a-service based on
a managed container system, with integrated data services and ecosystem for deploying modern apps. It takes an app-centric
approach for software delivery, integrated with developer tools and
workflows. It’s three main tool are: Heroku Developer Experience (DX), Heroku
Operational Experience (OpEx), and Heroku Runtime.
Heroku Developer Experience (DX)
Developers deploy directly from tools like…
$25
per month
Microsoft Azure
Score 8.5 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
Heroku Platform
Microsoft Azure
Editions & Modules
Production
$25.00
per month
Advanced
$250.00
per month
Developer
$29
per month
Standard
$100
per month
Professional Direct
$1000
per month
Basic
Free
per month
Offerings
Pricing Offerings
Heroku Platform
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
Heroku Platform
Microsoft Azure
Features
Heroku Platform
Microsoft Azure
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
Heroku Platform
8.1
Ratings
1% above category average
Microsoft Azure
-
Ratings
Ease of building user interfaces
7.60 Ratings
00 Ratings
Scalability
8.30 Ratings
00 Ratings
Platform management overhead
7.60 Ratings
00 Ratings
Workflow engine capability
8.40 Ratings
00 Ratings
Platform access control
7.10 Ratings
00 Ratings
Services-enabled integration
8.10 Ratings
00 Ratings
Development environment creation
8.70 Ratings
00 Ratings
Development environment replication
8.70 Ratings
00 Ratings
Issue monitoring and notification
8.20 Ratings
00 Ratings
Issue recovery
8.40 Ratings
00 Ratings
Upgrades and platform fixes
8.40 Ratings
00 Ratings
Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
Heroku is very well-suited to early stage and/or rapidly changing projects. It is great for getting moving quickly or changing direction quickly. In scenarios where there is already scale or well-defined requirements, it may be preferable to set things up directly on AWS or another cloud provider to avoid the additional costs of Heroku as the middleman.
Actually, migrating to Microsoft Azure is a good solution for almost any situation, especially when all components of your network are ready to become cloud-based. The only drawback I personally encounter frequently is that older software packages cannot always be easily picked up and moved to Microsoft Azure in an optimal manner.
Azure simply provides end to end life cycle. Starting from the development to automated deployment, you will find [a] bunch of options. Custom hook-points allow [integration] on-premise resources as well.
Excellent documentation around all the services make it really easy for any novice. Overall support by [the] community and Azure Technical team is exceptional.
BOT Services, Computer Vision services, ML frameworks provide excellent results as compare to similar services provided by other giants in the same space.
Azure data services provide excellent support to ingest data from different sources, ETL, and consumption of data for BI purpose.
Could be less expensive, although you get what you pay for
Sleeping apps can be an annoyance: Heroku automatically puts your apps in sleep mode and they have to spin back up after periods of inactivity. Much of this can be solved but it requires working around the built-in functionality. I understand why they do it but it's an area that could be improved.
Restrictions to server access means you can't customize as much as you could if you owned the server. But again, this is also a benefit because it's about convention over configuration. So you can't configure as much, but then, you typically don't have to.
In our experience, Azure Kubernetes Survice was difficult to set up, which is why we used Kubernetes on top of VMs.
Azure REST API is a bit difficult to use, which made it difficult for us to automate our interactions with Azure.
Azure's Web UI does a good job of showing metrics on individual VMs, but it would be great if there was a way to show certain metrics from multiple VMs on one dashboard. For example, hard drive usage on our database VMs.
Heroku is a critical and core part of our infrastructure that is serving our customers well. We are very satisfied with the cost of our solution. While it would be difficult to move away from Heroku, we have no plans to do so. We have had no major issues with it and it is a pleasure to use. Other products on the market might offer comparable functionality, but until we expose a need that Heroku cannot satisfy, we'll stay the course.
We have been very satisfied with Windows Azure and now a lot of our business depends on it as more teams are now deploying their applications into Azure. Our next step is to have our Infrastructure team move their resources to Azure. It will take awhile for that to happen but we are positive that it will.
If you have basic backend and Git knowledge, deploying to Heroku is a breeze. It now supports many types of backends, including hybrid backends (ex: nginx + application server) through its build pack system. The dashboard is easy to use, and the CLI tools are well designed. Accessing the add-ons is also easy. It uses an SSO-type system so you don't have to re-sign in to view the add-on dashboards.
Microsoft Azure's overall usability has been better than expected. Often times vendors promise the world, only to leave you with a run-down town. Not the case with our experience. From an implementation perspective, all went perfect, and from the user-facing experience we have had no technical issues, just some learning curve issues that are more about "why" than "how"
Heroku availability correlates pretty strongly to AWS US EAST availability. We had a couple of times where there was a Heroku-specific issue but not for the last 7-8 months.
I've used it for many years without facing any major problem. It's not hard at all to get used to it, it's documentation is outstanding and simple. We are close to 2020 and I don't think most of the existing companies or startups should still face old problems such as wasting time deploying code and calculate computing resources.
Support is easy with all the knowledge base articles available for free on the web. Plus, if you have a preferred status you can leverage their concierge support to get rapid response. Sometimes they’ll bounce you around a lot to get you to the right person, but they are quite responsive (especially when you are paying for the service). Many of the older Microsoft skills are also transferable from old-school on-prem to Azure-based virtual interfaces.
Be ready to pay a bit more than expected in the beginning if you're migrating from a big server. The application is probably not ready for the change and you have to keep improving it with time.
It's also important to consider that you can't save anything to the disc as it will be lost when your application restarts, so you have to think about using something like S3.
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.
Heroku has advantages over Docker, Google App Engine and AWS products, but it depends largely on your use case. If you are already in AWS, it's probably in your best interest to stay with AWS products. However, other "Cloud Formation/Orchestration" products like Docker are typically lacking the ease-of-use factor that allows you to get up and running with Heroku quickly.
I feel that Microsoft Azure typically outperforms Google Cloud Platform in hybrid cloud capabilities, integration aspects, and, primarily, security compliance features. Azure offered superior integration with Microsoft's enterprise software ecosystem, and it's second to none in my opinion. This made it the natural choice for most, especially if heavily invested in Windows, Office 365, or Active Directory deployments. We chose Azure over GCP because we simply needed Windows workload support as a strong driver, more access to global regions, and let's not forget that most tech teams in an organization are Microsoft Certified, which makes skillset transfer from on-prem to cloud a minimal learning curve over shifting to a different provider.
Times and growth went into it. By balancing on-premises maintenance with continuous cloud improvements, we’ve budgeted and planned endlessly increased capacity.
In today’s world of cyber-crime, clients can put even more faith in what they’ve heard. We built an innovative single-sign-on hub for all users. Also, other business platforms use Azure application gateways, reducing worker switching time and increasing productivity.
Its step can automate to improve the investment. In addition, we can integrate our organization’s credentials into an authorization for other systems.