Google Cloud Platform vs. Oracle Big Data Cloud Service

For how it helps our team with data storage and connecting to GA4 as a backup option, and the incredibly low cost for us to use it and reliably back up our data, I would highly recommend using this tool for all of your cloud storage needs. It's easy to use and their customer service is always responsive and easy to get a hold of.

Incentivized

We use it only when we need to and we have found that the software does what it needs to, it's user friendly and us also really helpful in many other ways as well. Like I mentioned before, we love the security and the speed we receive.

Incentivized

• Google Cloud Platform provide the autoscale workload when the workload need to scale up or down
• Great pay-as-you-go pricing model and dashboard report of pricing that help user monitor and optimize the cost
• Using simpler than other cloud provider

• User friendly
• Offers support and assistance
• Worth the cost
• Time efficient
• Good reliability
• Reliable support

Incentivized

• The Logs Explorer is quite hard to dig into and find logs of interest
• BigQuery transparency for BigLake vs External tables isn't the best
• Google Group management for permissions can get hairy.

Incentivized

• Less pricey
• Customizable
• A little more help in setting up/using the systems
• Constant upgrades are always pricey
• Some bugs noticable

Incentivized

I've found it incredibly easy to use since day one of deployment.

Incentivized

I feel GCS buckets are pretty interchangeable with Amazon S3 as far as I have typically used them. It just depends on who or your company wants to give money to. I have liked the Google Cloud Platform BigQuery console better than the interface for Snowflake, but that may be due to familiarity and the proportion of time I've used Google Cloud Platform over Snowflake.

Incentivized

Although new, Oracle has been exceptionally good speed wise and the customer service is top notch

Incentivized

• Approx 30% cost savings after moving from on-prem to GCP due to reduced hardware, maintenance of DC support, and energy costs.
• There are much faster release cycles due to CI/CD pipelines with cloud build and scalable infrastructure using GKE. It works very nicely.
• We use BigQuery a lot, and what used to take hours now takes minutes, speeding up business decisions across teams. Clients.

Incentivized

• It has had a good impact we are able to complete our projects in time
• We can save all our data in a safe and secure location
• Our data analysis is now faster than ever

Incentivized