Overall, I would rate it a nine out of ten. Google Cloud is very good. Once you go through the features of Google Cloud, it's a good idea to get a GCP certification so you have an idea of how it can be configured. Most things will be covered in the certification. Once you have around 80-84% knowledge of GCP, you can start using it. Other services, like S3 in AWS or Azure Cloud, provide the same. But I am confident in GCP. Azure Cloud is also good for me, but I haven't done any bucket tracking directly on it. Both Azure Cloud and GCP are good for me.
I use a lot of Atlassian and Jira products. I do a lot of code for a lot of bigger-name websites. I apply it through Jira, which is connected to my Google Cloud, which is also connected to my Azure. The tool’s usability is pretty good. Overall, I rate the product an eight out of ten.
Senior Cloud Solution Architect at Integrated Technology Solution Group (ITSG)
Real User
Top 10
Jan 18, 2024
I believe that rating depends on the individual experience and this is a very subjective matter. Understanding factors like collaboration and approach, plays a very important role. In my opinion, Google might have missed some opportunities and is facing challenges compared to competitors like AWS and Azure. However, based on the open source and their association with Docker I will rate them around 6.5 to 7.
Project Manager & Database Administrator at TAV Information Technologies
Real User
Mar 30, 2020
I find that Google Cloud Datalab is okay for now. I would recommend that people use the Google Platform and especially machine learning. I would rate this solution an eight out of ten.
Cloud Datalab is a powerful interactive tool created to explore, analyze, transform and visualize data and build machine learning models on Google Cloud Platform. It runs on Google Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks.
Overall, I would rate it a nine out of ten. Google Cloud is very good. Once you go through the features of Google Cloud, it's a good idea to get a GCP certification so you have an idea of how it can be configured. Most things will be covered in the certification. Once you have around 80-84% knowledge of GCP, you can start using it. Other services, like S3 in AWS or Azure Cloud, provide the same. But I am confident in GCP. Azure Cloud is also good for me, but I haven't done any bucket tracking directly on it. Both Azure Cloud and GCP are good for me.
I use a lot of Atlassian and Jira products. I do a lot of code for a lot of bigger-name websites. I apply it through Jira, which is connected to my Google Cloud, which is also connected to my Azure. The tool’s usability is pretty good. Overall, I rate the product an eight out of ten.
I believe that rating depends on the individual experience and this is a very subjective matter. Understanding factors like collaboration and approach, plays a very important role. In my opinion, Google might have missed some opportunities and is facing challenges compared to competitors like AWS and Azure. However, based on the open source and their association with Docker I will rate them around 6.5 to 7.
Overall, I would rate the solution an eight out of ten. I would definitely recommend using the solution.
I find that Google Cloud Datalab is okay for now. I would recommend that people use the Google Platform and especially machine learning. I would rate this solution an eight out of ten.