Adobe Experience Platform vs. Google Compute Engine

I think AEP is ahead of its competitors when it comes to hosting customer data for various use cases. It’s seamless integration with other Adobe products like AJO or CJA make it a very compelling overall package.

It may not be very applicable for smaller or medium sized businesses. There could be an opportunity for Adobe to bring in a trimmed down version for such customers.

Incentivized

It is excellent if you have any workloads that need raw computing or plan to have any state-full services running in your environment like DBs (for which you don't want to use Managed services), cache, etc. It also gives you complete control over which versions of software, OS, etc., you need, and thus, you can build anything and deploy it on GCE.

Incentivized

• Host online/offline data with common IDs
• Ease of profile activation to destinations
• Flexibility around how many sources and destinations can be used to move data

Incentivized

• A simple web-based interface that is a breeze to train new engineers to use. Our experienced engineers never have trouble finding or doing anything on GCE.
• Sustained use and Committed use discounts mean we get top-tier VMs for an incredibly competitive price.
• Wonderful identity and access management that gives us peace-of-mind when granting access to machines to contractors and other 3rd parties.
• Fast VMs, lastest in hardware, and enough RAM to power even the hungriest of our services.

Incentivized

• You need to be well trained and resourced to use the product
• Features and integration work but often times you need to pay Adobe consultants for help
• Not transparent in their pricing per customer

Incentivized

• The L7 load balancer can be difficult to get set up. It's limited in its functionality, especially with the container engine.
• It's hard to find certain objects on the web console. Often times the things I need to get to are buried in advanced menus.
• Google's decision to only support MySQL on their relational DB service means that I have to manage Postgres instances in Compute on my own, managing everything from storage to backups.

Incentivized

It is useful when executed properly

Incentivized

Its pretty good, easy and good performance. Also, interface is very good for starters compared to competitors. Infra as Code (IaC) using Terraform even added easiness for creation, management and deletion of compute Virtual Machines (VM). Overall, very good and very easy cloud based compute platform which simplified infrastructure, very much recommend.

Incentivized

AEP works very well with the entire Adobe suite of products and services making it a must-have product from a marketing standpoint. The fact that you are able to understand the customer and have a better impact with the customer journey is really helpful. We have also used AEP data to cross sell products to our customers through email campaigns/ offers m/ advertising etc but to have all this data stored in a single place makes it very convenient.

Incentivized

Having interacted with several cloud services, GCE stands out to me as more usable than most. The naming and locating of features is a little more intuitive than most I've interacted with, and hinting is also quite helpful. Getting staff up to speed has proven to be overall less painful than others.

Incentivized

Google Compute Engine works well for cloud project with lesser geographical audience. It sometimes gives error while everything is set up perfectly. We also keep on check any updates available because that's one reason of site getting down. Google Compute Engine is ultimately a top solution to build an app and publish it online within a few minutes

Incentivized

Google Compute Engine usually delivers good and predictable performance for our self-hosted stack of applications. However, when running n8n heavy workflows, even with a tunned instance configuration in docker, performance usually peaks usually due to memory usage. We often need to upgrade memory when we have heavier data processing and workflows. Other than that, in a normal usage, we don't really have any problems

Incentivized

Adobe has support at all levels and for each product but beyond tool questions you'll often be told they can help but it requires some paid consulting hours. So you either hire Adobe consultants or find 3rd part consultants who know their products well.

Incentivized

• The documentation needs to be better for intermediate users - There are first steps that one can easily follow, but after that, the documentation is often spotty or not in a form where one can follow the steps and accomplish the task. Also, the documentation and the product often go out of sync, where the commands from the documentation do not work with the current version of the product.
• Google support was great and their presence on site was very helpful in dealing with various issues.

Incentivized

In most cases we have found Adobe products to be harder to use but offer a lot more capabilities. In some cases Adobe products are missing key, basic functions. Adobe does offer a more holistic toolset rather than buying pieces of the puzzle and having to integrate on your own but that results in paying for a higher price tag.

Incentivized

When configuring Amazon ECS, it is a bit confusing as you are not able to find the actual issue. You need to enable Additional AppInsights to get detailed level info, which is not a concern when configuring on the Instance Level. Moreover, Azure VM does not provide an in-browser option; instead, it is Azure Bastion, but for that, you have to enable a dedicated subnet, which is a bit unnecessary.

Incentivized

It works really well with other Google Cloud services, making it easy to build scalable solutions across different teams and locations.

Incentivized

• The platform has allowed us to mature into digital spaces we couldn't otherwise have experienced
• Contract pricing went up yearly on some products by 200%
• We were able to consolidate email tools to save on yearly contract expenses

Incentivized

• Scalability means flexibility and less upfront costs
• Can become expensive when hard set compute requirements are clear, but things like Spot VMs can help here too, or just having your own infrastructure and scaling up with Google. This is for more advanced cases though
• Ramp up time is long, but after that it is quick to do many things and ROI is awesome

Incentivized