Adobe Experience Platform vs. Google Cloud Run

The Adobe Experience Platform is well suited for companies that are maturing or have matured in their digital offerings and are looking for very sophisticated tools to elevate to the next level. It's also for well resourced teams, both financially and head count to take advantage of the deep functionality and integrations.

Incentivized

Microservices and RestFul API application as it is fast and reliant. Seamless integration with event triggers such as pubsub or event arc, so you can easily integrate that with usecases with file uploads, database changes, etc. Basically great with short-lived tasks, if however, you have long-running processses, Cloud Run might not be idle for this. For example if you have a long running data processing task, other solutions such as kubeflow pipelines or dataflow are more suited for this kind of tasks. Cloud Run is also stateless, so if you need memory, you will have to connect an external database.

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

• Auto scaling is the best one
• provide direct VPC connectivity and rigid network
• Cloud SQL and Pub/Sub services
• Handling latency issues

Incentivized

• the slowness of the website sometimes
• the structure

Incentivized

• The UI can be made simpler. Currently the UI is bloated and it takes time to find out what you want
• More integrations with container registry providers (ECR, dockerhub)
• Better permissions UX. Currently GCP requires service accounts to be used with cloud products, the experience adding/removing permissions is difficult to navigate

Incentivized

It is useful when executed properly

Incentivized

We definitely need to renew it because we dont own our own infrastructure and storage and we are happy with Cloud Run features

Incentivized

Overall I really like the Adobe Experience Cloud after a couple years of figuring out various tools. They are extremely powerful. The time commitment to learn them is high since it's not a tool you can easily begin using without much training.

Incentivized

The UI/console is great... the documentation is top-notch for developers, but the CLI itself when you have to script around it is very complex and easy to forget some options... the downside of a generic command line client.

Incentivized

Not seen any major issues when we run applications its good

Incentivized

Initially we felt slow but slowly it picked up and easy to manage

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

I was involved in the initial implementation setup, Its easy with the given documentaiton we can do ourself. Not that critical

Incentivized

We are more integrated with other Adobe products and so it was an easy decision

Incentivized

AWS Lambda supports code zip package, enabling lower cold start time. Also, AWS Lambda pricing is much simpler, easier to understand.

Other than that, the 2 products are very similar, including the Docker image support: the image must be built based on proprietary base image.

Obviously, if your other services are running in GCP, then Google Cloud Run is your only choice for tight integration, & private networking.

Incentivized

Not part of purchase.

Incentivized

It has good auto scale feature and reliable also

Incentivized

We have very good support when needed

Incentivized

• More leads from profile activations and lookalike audiences
• Better understanding of our data with CJA
• Better journey orchestration using AJO
• Higher conversions and sales due to better understanding of customer pain points

Incentivized

• Built in support for auto scaling helps reduce operational overhead
• Any application performance issues can be addressed quickly by allocating more resources while a proper fix can be planned and rolled out later
• Using Google Cloud Run enables development of microservices which provides granular control for scaling critical services in the platform

Incentivized