Amazon Web Services (AWS) is a subsidiary of Amazon that provides on-demand cloud computing services. With over 165 services offered, AWS services can provide users with a comprehensive suite of infrastructure and computing building blocks and tools.
$0
per month
Pantheon
Score 8.6 out of 10
N/A
Pantheon is a WebOps platform where marketers and developers collaborate to drive results. The vendor states that with Pantheon, site owners maximize their capacity to update website design and functionality, responding to market trends, catering to consumer behavior, and adding real value to the business's bottom line. Today, companies compete on the basis of digital experiences, and the best results emerge from an agile build-test-learn process. Whether it's publishing content,…
$29
per month
Pricing
Amazon Web Services
Pantheon
Editions & Modules
Free Tier
$0
per month
Basic Environment
$100 - $200
per month
Intermediate Environment
$250 - $600
per month
Advanced Environment
$600-$2500
per month
Basic
$29
per month
Performance
$114
per month
Elite
Contact for quote
Offerings
Pricing Offerings
Amazon Web Services
Pantheon
Free Trial
Yes
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
AWS allows a “save when you commit” option that offers lower prices when you sign up for a 1- or 3- year term that includes an AWS service or category of services.
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Amazon Web Services
Pantheon
Features
Amazon Web Services
Pantheon
Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
Amazon Web Services
8.2
Ratings
2% above category average
Pantheon
-
Ratings
Service-level Agreement (SLA) uptime
9.30 Ratings
00 Ratings
Dynamic scaling
9.00 Ratings
00 Ratings
Elastic load balancing
9.70 Ratings
00 Ratings
Pre-configured templates
7.40 Ratings
00 Ratings
Monitoring tools
7.00 Ratings
00 Ratings
Pre-defined machine images
6.50 Ratings
00 Ratings
Operating system support
8.20 Ratings
00 Ratings
Security controls
8.30 Ratings
00 Ratings
Automation
8.70 Ratings
00 Ratings
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We are using RDS for the database services. With RDS, we don't have to manage much, as most of the DBA tasks are automated. For development purposes, we are using Kubernetes pods, which makes it easy to deploy applications and scale up as needed. AWS integration with in-house applications is seamless, making it easy to keep a data-sensitive application on-premises while still utilizing AWS services.
Great Cloud-based coordination platform which offers the team excellent capabilities on easy workflow management, multiple project activity tracking and easy to monitor all the project assets from one desk. Pantheon offers the best content management tools, strategic on development project life cycle management is excellent and the reporting features with Pantheon are effective and useful real-time data analytical capability.
I would gladly rely on AWS for any large-scale application deployment. For prototyping and small-scale applications, a more heavily managed environment on top of the 'bare metal' virtual infrastructure, such as Heroku or Elastic Bean Stalk, is probably a more productive approach in most cases
Amazon Web Services is a great tool when it comes to middle size organizations like us. It provides multiple tools and functionalities in low costs. The best feature we have to pay as we go. No financial burden on company for the unused instances. It also comes with greater level of security such as two level authorization such as multi factor authorization.
Monitoring of project development is very easy using a dashboard with its integration capability, showing all processes in a single screen which is easy to use and also easy to navigate through. A powerful tool that allows testing to be carried on without the user noticing any changes to the system and a highly interactive tool for groups and project members.
AWS does not provide the raw performance that you can get by building your own custom infrastructure. However, it is often the case that the benefits of specialized, high-performance hardware do not necessarily outweigh the significant extra cost and risk. Performance as perceived by the user is very different from raw throughput.
The customer support of Amazon Web Services are quick in their responses. I appreciate its entire team, which works amazingly, and provides professional support. AWS is a great tool, indeed, to provide customers a suitable way to immediately search for their compatible software's and also to guide them in a good direction. Moreover, this product is a good suggestion for every type of company because of its affordability and ease of use.
Even tier 1 Pantheon chat and ticket support are knowledgeable, competent, and useful. They routinely understand and promptly resolve urgent, complex, and/or unusual issues that other hosts need to escalate to tier 2 or tier 3 support personnel. I honestly can't think of a truly negative or disappointing support experience in the years I've used Pantheon hosting for client websites.
In my personal experience, AWS is superior to both GCP and Azure in the majority of usable applications. GCP suffers from the near total misunderstanding of how support system is even supposed to work, and while _some_ services are pretty nifty and well-polished, some are mindbogglingly designed black boxes with self-conflicting documentation. Some of it comes from having legacy systems, sure, but AWS somehow manages, even having a rather big lead start. Azure, from my limited experience, is limited to people somehow coerced into its usage by external constraints. That being said, IF you can design and implement something there, it will probably run fine.
Acquia was terrible. We use DigitalOcean for some all-purpose computing needs and Platform.sh for an application that does more computing and high-throughput processing where we do not want page views (API calls) to count against our usage.
Provisioning resources like large database instances is really quick. We can easily scale our instances up or down as per need.
Storing files in S3 instead of onprem NAS drives is much more economical, especially for the files stored in glacier deep archive for compliance purposes.
Backup snapshots of EBS volumes and RDS instances may increase the cost of cloud if not cleaned up properly.