Google Compute Engine is an infrastructure-as-a-service (IaaS) product from Google Cloud. It provides virtual machines with carbon-neutral infrastructure which run on the same data centers that Google itself uses.
$0
per month GB
Hitachi Enterprise Cloud
Score 7.0 out of 10
N/A
Hitachi Vantara offers the Hitachi Enterprise Cloud, an infrastructure-as-a-service platform. Hitachi provides a full portfolio of integrated hardware, software and enablement services designed to bring a pre-engineered level of efficiency and predictability to creating a cloud platform.
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Pricing
Google Compute Engine
Hitachi Enterprise Cloud
Editions & Modules
Preemptible Price - Predefined Memory
0.000892 / GB
Hour
Three-year commitment price - Predefined Memory
$0.001907 / GB
Hour
One-year commitment price - Predefined Memory
$0.002669 / GB
Hour
On-demand price - Predefined Memory
$0.004237 / GB
Hour
Preemptible Price - Predefined vCPUs
0.006655 / vCPU
Hour
Three-year commitment price - Predefined vCPUS
$0.014225 / CPU
Hour
One-year commitment price - Predefined vCPUS
$0.019915 / vCPU
Hour
On-demand price - Predefined vCPUS
$0.031611 / vCPU
Hour
No answers on this topic
Offerings
Pricing Offerings
Google Compute Engine
Hitachi Enterprise Cloud
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Prices vary according to region (i.e US central, east, & west time zones). Google Compute Engine also offers a discounted rate for a 1 & 3 year commitment.
You can use Google Cloud Compute Engine as an option to configure your Gitlab, GitHub, and Azure DevOps self-hosted runners. This allows full control and management of your runners rather than using the default runners, which you cannot manage. Additionally, they can be used as a workspace, which you can provide to the employees, where they can test their workloads or use them as a local host and then deploy to the actual production-grade instance.
1) If you are gathering lots of data from many different points and transforming that data into something customized, and you need it secure yet accessible, this is a great option. 2) If you are looking for a platform and not just a service provider, this would be a great option. As a platform, there is a one-stop-shop feeling that gets you some better customer service and performance. But it also locks you into one provider, so don’t jump in if you feel like you’ll want a lot of flexibility. 3) Building or running VMware is really what this platform is all about. If you’re creating an app drawing from some complex data/sources, it’s an easier go with this tool than most others.
Scaling - whether it's traffic spikes or just steady growth, Google Compute Engine's auto-scaling makes sure we've got the compute power we need without any manual juggling acts
Load balancing - Keeping things smooth with that load balancing across multiple VMs, so our users don't have to deal with slow load times or downtime even when things get crazy busy
Customizability - Mix and match configs for CPU, RAM, storage and whatnot to suit our specific app needs
It fills a niche that was needed before we as a company fully embraced the cloud with Azure. It was a great introduction to the cloud and there are some features I wish were more readily available with some of our Azure tools. Staying on top of your expenses is much harder without the transparency Hitachi provides.
It allows the small team managing it to simplify cloud operations using prebuilt computing and storage templates. Very easy to monitor, manage and optimize cloud operations.
Pre-Engineered, turnkey solutions with prebuilt services make it quick and easy to select the service needed for each app. With many different suppliers, we cater to many different connectors.
Their ability to offer a public cloud solution that feels like a private cloud solution is a great feature, but not one that is easily understood outside of someone using the tool. I think they need more training and marketing around what they can do for cloud-native development.
I think they are lacking a solution to play in other playgrounds easily. Many of their offerings are better than what Azure provides, so I think there is room for them to leverage Azure size with customized, personalized features.
They really need something big to set them apart from the larger players in this space. I think of Snowflake with their amazing pricing model and the “oops!” button that undoes serious accidental deletes. Something like that would grow the user base and make it a major player.
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.
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.
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
It works great all the time except for occasional issues, but overall, I am very happy with the performance. It delivers on the promise it makes and as per the SLAs provided. Networking is great with a premium network, and AZs are also widespread across geographies. Overall, it is a great infra item to have, which you can scale as you want.
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.
Google Compute Engine provides a one stop solution for all the complex features and the UI is better than Amazon's EC2 and Azure Machine Learning for ease of usability. It's always good to have an eco-system of products from Google as it's one of the most used search engine and IoT services provider, which helps with ease of integration and updates in the future.
Hitachi Enterprise Cloud is a pleasant surprise, offering better management and control of your cloud containers and VMware. It is a platform and contains all you need to get going, so there is great appeal in smaller companies and isolated divisions/departments in larger companies. If I were managing a small group with a specific endpoint I would no doubt choose a solution like this, but being a large corporation we tend to drive towards larger solutions with internal competencies to support those larger roll-outs.
The positive pricing aspect has been with the rate card and compute pricing transparency, being better able to manage the budget.
It is a small solution for us, so we are probably not realizing the potential savings we could get by rolling all our corporate cloud work into a single solution, but it is also good to keep multiple irons in the fire, so to speak.
The implementation has done very well in a small, controlled atmosphere. So while the ROI may not have been as high as we’d like to see, the success of the project has made it valuable none the less.
