Caspio vs Google Compute Engine comparison

The compared Caspio and Google solutions aren't in the same category. Caspio is ranked #29 in RADS , and holds a 0.4% mindshare in the category. Google is ranked #10 in ISI , with an average rating of 8.6, and holds a 0.7% mindshare. Additionally, 100% of Caspio users are willing to recommend the solution, compared to 93% of Google users who would recommend it.

Caspio

Read 1 Caspio review

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290 Comparison Views

100% willing to recommend

Google Compute Engine

Read 16 Google Compute Engine reviews

408 Views
246 Comparison Views

93% willing to recommend

Caspio

Google Compute Engine

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Executive Summary

We performed a comparison between Caspio and Google Compute Engine based on real PeerSpot user reviews.

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Caspio

Average Rating

8.0

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Rapid Application Development Software (29th), Low-Code Development Platforms (27th)

Google Compute Engine

Average Rating

8.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Infrastructure as a Service Clouds (IaaS) (10th)

Mindshare comparison

Caspio and Google Compute Engine aren’t in the same category and serve different purposes. Caspio is designed for Rapid Application Development Software and holds a mindshare of 0.4%, up 0.4% compared to last year.
Google Compute Engine, on the other hand, focuses on Infrastructure as a Service Clouds (IaaS), holds 0.7% mindshare, up 0.2% since last year.

Rapid Application Development Software

Infrastructure as a Service Clouds (IaaS)

Featured Reviews

Timothy Soares

Channels and Payments Administrator at Finabank N.V.

It's a good solution for those with limited coding experience

The visualization of the data pages could be improved. You have to a lot of tweaking to make the visualization stand out. It's basic, but there are a lot of options. So you really have to do a lot of customizing on that part. They could add some templates that are more attractive than the basic ones. It would be helpful if you could start with something that's already built rather than working on standard templates from scratch.

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Arundeep Veerabhadraiah

Associate Director - Cloud Infrastructure at Kyndryl

A highly scalable and seamless platform which is easily automated

One of GCE's best features is the managed instance groups. We typically use managed instance groups for high availability. You can set certain parameters for managed instance groups where if the load of the computer or server increases beyond 80%, for example, the solution will automatically spawn another instance, and the load will be automatically divided between two systems. If the load is 80% of one of the VMs or GCEs, once the load is divided, it comes down to 40%, so the availability of your systems goes up. However, that all depends on the parameters or configurations we put on the instance group. You also have regular health checks on these managed instance groups, which are configurable. If these health checks determine something wrong with the VM, they will automatically kick off or spawn a new GCE instance. This way, the outage time is less. Previously, on-premises, unless somebody reported the issue to the helpdesk saying that a particular service was unavailable, then a support team would need to troubleshoot what went wrong, which takes a long time. At least 30 minutes to one hour. But by using these managed instance groups, we can reduce the outage time, and second, we can configure them with minimal resources, bringing down our cost. And if the load increases, the managed instance groups automatically respond to new things. Subsequently, our costs decrease. We have a wide range of VMs. There are general-purpose VMs that can be used for hosting general-purpose applications. If some of our applications are memory intensive, then we have a lot of VMs in the M1 series. We can use a range of memory-optimized VMs for these things. We have C-series VMs for compute-intensive applications. If we use some mathematical formulas and require a very high throughput from that, there are GPU-optimized VMs used for machine learning or 3D visualizations in rendering software. GPU-enabled VMs are pretty powerful and responsive. Again, the best part is that we can spin them up when we need them, and once we're done with our work, we can shut them down, allowing tremendous cost savings for any customer. Previously, if we wanted a very high-configuration VM, we had to own the entire hardware and have it on our on-prem data center. And once we'd done with a particular activity, the system would just be lying there on our premises. That is not the case now. We use and decommission it, so we're only billed for the time we're using the product. One of the best things is the preemptible VMs or Spot VMs. These are the cheapest VMs in Google Cloud, but it has a string attached to it where Google can shut down these VMs whenever Google teams split. You only get about 90 seconds notice before they shut down this particular VM. There are scenarios where customers can use these preemptible VMs, for example, when running a batch job. Batch jobs are run once or twice daily, depending on the customer's requirement. Once we are done running these batches, we can decommission the VM. Even if, in the middle of this batch job, Google shuts down these VMs, we can pick up the processing from wherever the VM left off. These are some of the beautiful things we have on Google Cloud concerning the Compute Engine.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Caspio was user-friendly compared to other solutions. As someone who doesn't know a lot about coding, I found it easy to create a web application on this platform."

"The support for ephemeral instances has been particularly valuable for me. It allows me to significantly reduce costs for temporary virtual machines by automatically destroying them once they are no longer needed, which can result in cost savings of up to 90 percent. Additionally, the solution is easy to use."

"One of GCE's best features is the managed instance groups."

"Google Compute is highly scalable."

"The overall product rating is nine out of ten."

"From a feature perspective, I find API integration, automation capabilities, and features like preemptive and Spot instances valuable. Migration tools have also been useful."

"The main motive for choosing Google Compute Engine is pricing."

"The initial setup is reasonably straightforward. It's a handful of networks and a handful of computers."

"Google is managing all hardware. You don't need to provision or pre-provision your computer engine."

More Google Compute Engine pros

Cons

"The visualization of the data pages could be improved. You have to a lot of tweaking to make the visualization stand out. It's basic, but there are a lot of options. So you really have to do a lot of customizing on that part. They could add some templates that are more attractive than the basic ones. It would be helpful if you could start with something that's already built rather than working on standard templates from scratch."

"The biggest problem is that it's got a very archaean and complex security environment that has to be very carefully set up and is easy to break."

"There have been instances when a customer has tried to deploy a certain number of VMs inside a project, and they come across quota issues."

"I rate the product's stability around five to six out of ten."

"Google Compute Engine needs to have multi-region support. It would also be nice to have a tracking mechanism."

"Google Compute Engine does not have many options at a lower tier level. If they had more options it will be better. For example, Amazon AWS or Microsoft Azure, have more options and different types of instances, of VMs we can select."

"The licensing process is not a very straightforward process."

"I would like to improve the solution’s UI while deploying a container. It is sometimes hard to figure out the container’s details and format that you want to deploy. The tool does not give you a guide to find out the error and why the container is not starting up which could be because you have configured it wrong. This is always a hit on the setup."

"Sometimes support takes time to reply."

More Google Compute Engine cons

Pricing and Cost Advice

Information not available

"Google is providing money for learning Google Compute Engine. They offer a $300 free trial to new customers. Any beginner can easily get started."

"It's $60,000 to $70,000 a month to replace about $10,000 a month in data center costs."

"The tool is reasonably priced, considering its scalability features. If we want to extend the server's capacity, we can do it, and I think it's reasonable."

"In terms of improvement, one is definitely the licensing piece. So there is a feature, the BYOL (Bring Your Own License) licensing piece, to bring your own license. It is not that straightforward. It requires some support from Google to get it sorted, access those licenses, and configure those licenses."

"Google Compute Engine is not the least expensive solution. Microsoft Azure, and Microsoft One, are offering a less expensive solution. The price is based on usage. Whenever we use it, we have to pay for only usage. It is a pay-as-you-go model."

"I rate GCE's pricing a five out of ten since it's affordable."

"Google Compute Engine's pricing is flexible and the best of all other alternatives."

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Top Industries

By visitors reading reviews

No data available

Manufacturing Company

25%

Computer Software Company

15%

University

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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What do you like most about Google Compute Engine?

Everything is simple and useful. The initial setup is not challenging.

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What is your experience regarding pricing and costs for Google Compute Engine?

Google resources are cheaper compared to AWS and Microsoft Azure. Among the three, Google is the cheapest option.

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What needs improvement with Google Compute Engine?

Google has a lack of focus on their products. They have many products in various areas of the market, but they do not productize or appeal to the market effectively. They should concentrate on prod...

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Compared 19% of the time

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Compared 28% of the time

Amazon EC2 vs Google Compute Engine

Compared 20% of the time

Amazon AWS vs Google Compute Engine

Compared 18% of the time

Google Cloud vs Google Compute Engine

Compared 18% of the time

Tencent Cloud vs Google Compute Engine

Compared 16% of the time

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Rapid Application Development Software

May 2025

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Google Compute Engine

May 2025

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Overview

Caspio is the world’s leading NO-CODE platform for building custom business applications without coding. Scale up with UNLIMITED app builders and users at no extra cost.

Caspio provides an intuitive visual application builder that guides you through every aspect of creating sophisticated cloud applications. Create custom web forms, searchable databases, multi-user portals, interactive dashboards, automated workflows and much more — in a fraction of the time compared to traditional development.

By empowering business professionals to create their own applications, Caspio sets a new standard for doing more with less. Align your frontline customer-facing teams, business operations and IT departments like never before. Automate processes, eliminate data silos and enable digital transformation with less strain on backlogged IT departments.

With Caspio's low-code approach, launch custom applications fast and drive continuous improvement across the business — all using clicks, not code.

Caspio

Google Compute Engine delivers virtual machines running in Google's innovative data centers and worldwide fiber network. Compute Engine's tooling and workflow support enable scaling from single instances to global, load-balanced cloud computing.

Compute Engine's VMs boot quickly, come with persistent disk storage, and deliver consistent performance. Our virtual servers are available in many configurations including predefined sizes or the option to create Custom Machine Types optimized for your specific needs. Flexible pricing and automatic sustained use discounts make Compute Engine the leader in price/performance.

Google

Sample Customers

Florida Department of Health, AdvanceKentucky, Japan Center for International Exchange (JCIE), Philips, Comcast, Coca Cola, HP, Whirlpool, Verizon, Lenovo, Yale University

Allthecooks, BetterCloud, Bluecore, Cosentry, Evite, Ezakus, HTC, Infectious Media, iStreamPlanet, Mendelics, SageMathCloud, Sedex, Treeptik, Wibigoo, Wix, zulily, Zync

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May 2025

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