Google Cloud

4.7 (1,858)
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Modular platform for computing, hosting, storage & more

About Google Cloud

Google Cloud Platform is a modular-based platform providing multiple build and scale services to businesses of any size within any industry. It offers tools for document storage, data warehousing, security key enforcement, app creation, API management, AI and machine learning, live chat, and more.

With Google Cloud Platform, users can store large amounts of data in cloud storage and scalable data warehouses with built-in machine learning. Additionally, users have access to relational and non-relational databases for transactions, complex queries, streaming, offline sync, and more. The platform also includes data migration services such as data import for BigQuery, large scale network transfer of data, and a rackable storage server for large volumes of data.

Google Cloud Platform enables users to streamline management workflows with integrated management consoles, browser and mobile device compatibility, and cost optimization tools. The platform also includes a global fiber network, providing users with defense-in-depth network security and reliability. Additional networking features include content delivery, service tiers, telemetry, low-latency DNS serving, traffic management, load balancing, and a network intelligence center for network monitoring, verification, and optimization.

With Google Cloud Platform users can integrate artificial intelligence (AI) and machine learning (ML) into pre-existing applications using custom or pre-trained modules, as well as gather insights derived from text, speech, video, and images. The platform offers natural language features for cloud translation from any language.


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Google Cloud Software - Google Cloud Platform billing
Google Cloud Software - Google Cloud Platform bucket creation
Google Cloud Software - Google Cloud Platform entity creation
Google Cloud Software - Google Cloud Platform instance creation
Google Cloud Software - Google Cloud Platform SQL

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4.7 (1,858)
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US$18.00
month

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Ease of Use

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Value for Money

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Reviews

Overall rating

4.7 /5
(1,858)
Value for Money
4.4/5
Features
4.6/5
Ease of Use
4.4/5
Customer Support
4.3/5

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Showing 5 reviews of 1,858
Melvin M
Melvin M
Overall rating
  • Industry: Information Technology & Services
  • Company size: 201–500 Employees
  • Used Daily for 2+ years
  • Review Source

Overall rating

  • Value for Money
  • Ease of Use
  • Customer Support
  • Likelihood to recommend 10.0 /10

Best Cloud Server Storage Facilities

Reviewed on 20/05/2022

This is the Fastest Cloud Platform for launching your Database. The integrations are dynamic and...

This is the Fastest Cloud Platform for launching your Database. The integrations are dynamic and Google Cloud Servers will guild your database into success. You can integrate many softwares that help build your business.

Pros

I used Googl Cloud To Launch My backend software (database) for my Business Website and the integration resulted to the most successful profits I've ever seen in my business history. They offer a wide range of Cloud computing and offer about $300 credit for building this system.

Cons

You have to be willing to put in the maximal time and effort to make good business profit. Its hardwork and you have to adapt to the Cloud environment. At the end of the day I'm not complaining I prefer Google Cloud Server when it comes to Cloud Computing , you just have to be ready to work smart and hard.

Alternatives Considered

GoDaddy Website Builder

Reasons for Choosing Google Cloud

Blue Host started becoming too expensive.

Switched From

Bluehost

Reasons for Switching to Google Cloud

Google Cloud has Cloud Computing features, major difference.
Orianne
Orianne
Overall rating
  • Industry: Telecommunications
  • Company size: 10,000+ Employees
  • Used Daily for 1+ year
  • Review Source

Overall rating

  • Value for Money
  • Ease of Use
  • Customer Support
  • Likelihood to recommend 9.0 /10

Enhanced AI and K8 features facilitate the development of the latest applications

Reviewed on 02/08/2022

All data processing can be completed by accessing the cloud platform from a web browser. The...

All data processing can be completed by accessing the cloud platform from a web browser. The ability to work seamlessly with Google Earth Engine. Even if you do not have a high-specification machine at hand, you can perform various data processing you want by operating the cloud from your browser. Because you can directly run analysis algorithms, such as machine learning, linking with various Earth Engine data. By using GKE, we no longer needed to operate our Kubernetes cluster and could now focus on application development. As a result, we were able to concentrate on developing services that could deliver more value, contributing to the speed and quality of application releases.

Pros

I think the Kubernetes cloud service is very easy to use, partly because it is provided by Google, which developed Kubernetes. We also have a full range of AI services, and by combining them with Google AI, we can offer AI services seamlessly, which helps improve the added value of our services.

Cons

The web browser interface is constantly changing. When the system is updated, it also changes the menu display, etc., so it can be a bit confusing. There is no problem with the data processing itself, but sometimes the response at the first stage of access from the browser seems a bit slow.

Alternatives Considered

Amazon EC2

Reasons for Choosing Google Cloud

Problems, specific effects, and various functions have been solved, and it has become possible to perform complex analyses in conjunction with Google Earth Engine. It became possible to proceed with the analysis without worrying about the specifications of the machine in question.

Switched From

Azure DevOps Server

Reasons for Switching to Google Cloud

Since it is relatively inexpensive and can be accessed by many people, it has lessened the need to prepare a local environment at a cost. Since a large amount of data can be analyzed using cloud computing resources, it is expensive, but considering time and resources, it seems reasonable.
James
Overall rating
  • Industry: Construction
  • Company size: 2–10 Employees
  • Used Daily for 1+ year
  • Review Source

Overall rating

  • Ease of Use
  • Customer Support
  • Likelihood to recommend 5.0 /10

Review Of Google Cloud

Reviewed on 10/05/2024

Pros

I like that you can store stuff that doesn't bog down your computer and that you can interact with your team from a shared catalog.

Cons

I am not a technology person and so it is honestly just confusing to me about when I am actually engaging with the cloud and when I am just on my computer.

Gaurav
Overall rating
  • Industry: Food & Beverages
  • Company size: 5,001–10,000 Employees
  • Used Monthly for 2+ years
  • Review Source

Overall rating

  • Value for Money
  • Ease of Use
  • Customer Support
  • Likelihood to recommend 6.0 /10

Robust clickstream data storage and analysis tool

Reviewed on 29/09/2020

My overall experience with Google Cloud Platform has been satisfactory. I have been able to work...

My overall experience with Google Cloud Platform has been satisfactory. I have been able to work with IT to import marketing campaigns data from multiple sources and store them for querying by analysts in my team. Due to scalability and stability of databases in GCP, I can keep moving more marketing data without worrying about slowing down the databases or crashing them. So, all analytics pulled using this imported data can populate a dashboard and keep it updated with fresh insights. Which helps in driving higher ROI.

Pros

My marketing team uses Google Cloud Platform to collect Google Analytics clickstream data and marry it with structured data from other sources. I analyze that correlated dataset using SQL queries. Some benefits I see off using GCP: I can access data online using a Google email address which I already use for other Google tools. I can export the data extract using Google Sheets and store it in Google Drive. I can import additional data by setting up a daily feed from Google Analytics. So, I get the benefits of a relational database with ability to scale using Google servers.

Cons

Google Cloud Platform is great for importing datasets from Google Analytics and other Google suite tools. But from tools which are not in the Google eco system, it involves heavy lift from ETL developers or architects. Additionally, GCP Bigquery tool has a limit on the volume of queries an analyst can run. Once that limit or cap is crossed, companies have to pay extra. So, using the LIMIT command in SQL becomes critical to limit the numbers of rows. Also, there is a challenge of legacy SQL vs. current version because they use different syntax.

Verified Reviewer
Overall rating
  • Industry: Construction
  • Company size: 501–1,000 Employees
  • Used Daily for Free Trial
  • Review Source

Overall rating

  • Value for Money
  • Ease of Use
  • Customer Support
  • Likelihood to recommend 9.0 /10

My Opinion

Reviewed on 06/04/2024

Awesome but need to give free service for students for training purposes without bank card details.

Awesome but need to give free service for students for training purposes without bank card details.

Pros

GCP are my preferred platform because of its scalability, global Infrastructure, cutting-edge technology, integration with Google services and security.

Cons

Cost for students, complexity and training.

Alternatives Considered

AWS Cloud9

Reasons for Switching to Google Cloud

Because google is a more integrated platform with google services.
Showing 5 reviews of 1,858 Read all reviews

Google Cloud FAQs

Below are some frequently asked questions for Google Cloud.

Google Cloud offers the following pricing plans:

  • Pricing model: Free Version, Subscription
  • Free Trial: Available

Free Tier: New customers get $300 in free credits to fully explore and conduct an assessment of Google Cloud. You won’t be charged until you upgrade. Free Usage Per Month: All customers get free hands-on experience with 20+ popular products, including Compute Engine and Cloud Storage, up to monthly limits. Each product has its specific pricing and is usually charged per usage per month. Please refer to the specific product pricing page on Google cloud Website for more details.

Google Cloud has the following typical customers:

Self Employed, 2–10, 11–50, 51–200, 201–500, 501–1,000, 1,001–5,000

Google Cloud supports the following languages:

Chinese, Dutch, English, French, German, Indonesian, Italian, Japanese, Korean, Portuguese, Spanish, Traditional Chinese, Turkish

Google Cloud supports the following devices:

Google Cloud integrates with the following applications:

Netskope Active Platform, OpsGenie, PagerDuty, Slack, Splunk Enterprise, Sumo Logic, Telegram, Webex Suite, xMatters

Google Cloud offers the following support options:

Email/Help Desk, FAQs/Forum, Knowledge Base, Phone Support, Chat

Related categories

See all software categories found for Google Cloud.