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Google Cloud (GCP) Reviews
Google Cloud (GCP) Reviews
67 reviews
Save BIG on
Google Cloud (GCP)
Save up to $350,000 on Google Cloud (GCP)
Google Cloud (GCP)
Premium
Used by 11245 members
$2,000 in credits for 1 year if you never raised funds // $350,000 in credits for 2 years if you did
Save up to $350,000 on Google Cloud (GCP)
Save BIG on
Google Cloud (GCP)
Save up to $350,000 on Google Cloud (GCP)
Google Cloud (GCP)
Premium
Save up to $350,000 on Google Cloud (GCP)
Get deal
- 01 Is Google Cloud (GCP) any Good? My expert Review
- 02 Pros and cons from reviewers
- 03 Main features
- 04 How Google Cloud (GCP) compare to similar software?
- 05 Who is Google Cloud (GCP) best for according to our reviewers?
- 06 Google Cloud (GCP) Reviews
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01 Is Google Cloud (GCP) any Good? My expert Review
I have used a considerable number of cloud services over the years, AWS and Azure to name a couple; however, GCP was unique from the rest of the pack. I would like to share with you some back stories with GCP, and the success we experienced using GCP, and how it helped us stay on track and achieve our objectives.
The first win was scaling up when busy was simple. We had an e-commerce client who was growing rapidly, and using Google Kubernetes Engine (GKE) basically was just flipping a switch. During major sales, the applications scaled with ease, we didn't experience any delays, nor any outages during the busy periods. Happy customers, good sales, all around win.
Moreover, I loved the seamless integration of all the Google toolsets together. A social media/mining data project that entailed BigQuery, Google Analytics, and Data Studio was a win; it was available from minute to minute with massive amounts of data available for subsequent analysis, which resulted in instant insights - I felt like I was taking raw ingredients and quickly turning it into a nice meal.
It wasn't all perfect. At times getting started on GCP felt like learning how to ride a bike on a street with no training wheels (especially if you are not familiar with cloud technologies, or Linux) and the multiple changes and updates from the latest interface builds of GCP didn't help matters. Regardless, after getting familiar with each programs unique syntax the pieces started to come together, and we were able to turn it up a notch on our workflows.
Overall, GCP is a great product with fantastic tools, and good pricing. Sure, who wouldn't want faster support, and easier migrations, but i would recommend GCP to any company that is looking for cloud products and services and wants something that can grow with them.
02 Pros and cons from reviewers
Pros from reviewers
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Quick and efficient platform
Google Cloud is praised for its speed and efficiency, particularly when it comes to launching databases. Its dynamic integrations and servers have been noted to contribute to the success of businesses -
Seamless integration with other Google services
Users appreciate the seamless integration of Google Cloud with other Google services, such as Google Earth Engine and Google Analytics. This allows for efficient data processing tasks and the ability to run analysis algorithms directly -
Scalability and stability
Google Cloud's databases are praised for their scalability and stability. This allows users to continuously add more data without worrying about slowing down or crashing the databases, leading to fresh insights and higher ROI -
User-friendly and cost-effective
Despite a steep learning curve, users find Google Cloud to be user-friendly and cost-effective. Its pay-as-you-go model is particularly appreciated, as users only pay for the features they use. -
Broad spectrum of services
Google Cloud offers a wide range of cloud computing services, catering to various business needs. It also provides credits for system development, making it a cost-effective choice for many users
Cons from reviewers
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Steep learning curve
Google Cloud Platform can be complex and confusing for beginners, particularly those with limited knowledge about cloud technology. It requires a deep understanding of Linux and adaptation to the cloud environment -
Frequent interface changes
The web browser interface of Google Cloud Platform is constantly changing, which can be confusing for users. This can affect the user experience and productivity -
Inconsistent customer support
Users have reported slow responses from Google Cloud's support team, especially for non-critical issues. Some users also reported that they were unable to contact customer support unless they paid for a support package -
Difficulties with data migration
Some users have encountered issues when migrating their virtual machines from one zone to another. The process can be complex and confusing, requiring considerable time and effort -
Billing and cancellation issues
Users have reported difficulties in removing credit card details, cancelling subscriptions, and resolving billing issues. Some users also reported being mistakenly charged high amounts, with refunds taking several days to process.
Google Cloud (GCP)
Premium
Cloud services by Google
$2,000 in credits for 1 year if you never raised funds // $350,000 in credits for 2 years if you did
Save up to $350,000
03 Main features
Starting Price
Free Plan
Networking and content delivery
Compute Engine
Storage solutions
Google Kubernetes Engine (GKE)
Security and identity
More details about Google Cloud (GCP) plans
N/A
Free Plan
Yes
Networking and content delivery
Compute Engine
Storage solutions
Google Kubernetes Engine (GKE)
Security and identity
Google Cloud (GCP)
Premium
Cloud services by Google
$2,000 in credits for 1 year if you never raised funds // $350,000 in credits for 2 years if you did
Save up to $350,000
04 How Google Cloud (GCP) compare to similar software?
When comparing DigitalOcean and Google Cloud, both platforms offer powerful cloud computing solutions tailored to different user needs and preferences. DigitalOcean is renowned for its simplicity and developer-friendly interface, making it an ideal choice for startups and small to medium-sized businesses looking for straightforward cloud solutions. On the other hand, Google Cloud stands out for its robust infrastructure and extensive suite of services, catering to enterprises and large-scale organizations with complex computing requirements.
One of the key differences between DigitalOcean and Google Cloud lies in their pricing models and offerings. DigitalOcean is known for its transparent and predictable pricing, with a focus on affordability and simplicity. It offers a range of pricing plans with fixed monthly rates, making it easy for users to budget and scale their resources as needed. In contrast, Google Cloud provides a more flexible pricing structure, with options for...
Google Cloud (GCP)
Used by 11245 members
Cloud services by Google
$2,000 in credits for 1 year if you never raised funds // $350,000 in credits for 2 years if you did
Save up to $350,000
DigitalOcean
Used by 6924 members
Cloud Computing Platform
$200 in credits
Save up to $200
While Google Cloud Platform (GCP), a new offering from Google, is a collection of public cloud resources that focuses on high compute products like Big Query, Amazon Web Services is an established cloud service platform providing a range of services to support all kinds of IT needs.
The foundational service offered by GCP is called Compute Engine. Similarly, AWS calls its primary service Elastic Compute Cloud or EC2. Though they use different naming conventions, both products essentially provide users with Virtual Machines (VM) that function like physical computers and run any kind of operating system and applications.
Interestingly, AWS and GCP share similarities in how they deploy and manage virtual machines. For example:
- They allow you to customise the specifications of your VMs to fit your workload. You can select the amount of memory that suits your business needs, the number of vCPUs, the size and type of storage etc.
- You have the freedom to install a variety of operating systems...
Google Cloud (GCP)
Used by 11245 members
Cloud services by Google
$2,000 in credits for 1 year if you never raised funds // $350,000 in credits for 2 years if you did
Save up to $350,000
AWS Activate
Used by 6104 members
Amazon's cloud services platform
Up to $100,000 in credits or 20-50% off your monthly spend through an AWS partner (must be spending $100+/month)
Save up to $300,000
Google Cloud and Firebase are different tools. As a result, they don't target the same audience and don't have the same functionality.
To begin with, let's define them. Google Cloud, as its name suggests, is the cloud of the American company Google. In other words, it is a network of servers storing computing resources that can be accessed remotely by users. The platform also includes a number of services available from a single interface. These include infrastructures for writing and executing computer code, translation tools, data analysis and forecasting systems, etc.
Firebase, for its part, is a BaaS "Backend-as-a-Service" provider. This means that it offers developers software that is already coded, so that they do not have to take responsibility themselves for managing the activities that take place on the server, i.e. updates, storage, authentication, databases, etc. This allows them to concentrate on their core business. This allows them to concentrate on their speciality: the...
Google Cloud (GCP)
Used by 11245 members
Cloud services by Google
$2,000 in credits for 1 year if you never raised funds // $350,000 in credits for 2 years if you did
Save up to $350,000
05 Who is Google Cloud (GCP) best for according to our reviewers?
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Businesses Looking for Scalability
Businesses that require a robust and scalable platform to manage increased workloads without performance issues. Google Cloud offers the simplicity of provisioning virtual machines and configuring network settings, making the deployment process easier -
Database Managers
Google Cloud is suitable for database managers who need a secure, fast, and reliable platform for their databases. It offers easy customization of disks based on type and size, and a pay-as-you-go model where users only pay for the features they use -
Dissatisfied Users
Users who have had negative experiences with other cloud platforms may find Google Cloud to be a more cost-effective and user-friendly alternative. However, they should be aware of potential challenges such as a steep learning curve and occasional issues with customer support. -
Web Developers
Web developers running powerful websites can benefit from Google Cloud's cost-effective and fully customizable hosting platform. It offers unlimited potential for upgrades and sizes, localized solutions, and access to the full Google Cloud network -
Data Analysts
Data analysts can benefit from Google Cloud's interoperability across different cloud platforms, particularly with Kubernetes. It allows for seamless data analytics and is a game-changer in the field of Data Analytics
Google Cloud (GCP)
Premium
Cloud services by Google
$2,000 in credits for 1 year if you never raised funds // $350,000 in credits for 2 years if you did
Save up to $350,000
06 Google Cloud (GCP) Reviews
Google Cloud (GCP) rating
Google Cloud (GCP) Reviews
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Salih Şen
great great great great great great
great great great great great great great great great great great great great great great great great great great great great great great great great great great great great great great great great great great great
May 31, 2026
-
Henry Witting
Predictable Managed Postgres via Cloud SQL
GCP has been a strong fit for data pipelines. Pub/Sub and Dataflow handled a streaming ingestion project for us without a lot of operational babysitting, and that alone removed a recurring headache. Documentation is decent, though not always where you expect it to be. We also had some startup credits from Joinsecret during the first few months, and that gave us room to benchmark Dataflow against a simpler cron-based approach before committing
May 27, 2026
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Amal Jenkins
Low-Ops Streaming Pipelines with Pub/Sub + Dataflow
I have had a good experience with Compute Engine for workloads that needed more control than a serverless setup. Creating custom machine types was useful because we could match CPU and memory more closely to what the app actually needed. Snapshotting disks and cloning instances has also made testing safer. It took some time to understand networking well enough to avoid mistakes, but once that clicked the platform felt reliable
May 26, 2026
-
Fr. Orval Purdy
Flexible, Reliable Control with Compute Engine
Vertex AI turned out to be more useful than I expected, especially for teams that want managed infrastructure instead of stitching things together on their own. We used it for a document classification workflow and liked how it fit with Cloud Storage and IAM. The interface can feel a little fragmented between products, but the underlying services are solid and the security model is one of the better parts of the platform
May 22, 2026
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Emerson Beahan Sr.
Managed ML Workflow Success with Vertex AI
We use Cloud Run for internal tools and webhook handlers, and it has been one of the more practical services on GCP for a small team. Deployments are quick, scaling to zero keeps costs down, and connecting it to Secret Manager and Cloud Logging was straightforward. We also came in with a few hundred dollars in GCP credits for the first three months through Joinsecret, which helped while we were testing different setups without stressing over every bill
May 18, 2026
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Rodrigo Mayer
Cost-Efficient Serverless with Cloud Run + Secrets
BigQuery has been excellent for product analytics on large event tables. The SQL style is easy to work with, and performance has been consistently strong even on datasets that were getting slow in our old warehouse. I do wish the cost controls were a bit more obvious at first, because a few poorly written queries can add up, but overall it has saved our team a lot of time
May 13, 2026
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Ferdinand Erdman
Smooth GKE Migration for a Customer-Facing API
We moved a customer-facing API from a small VPS setup to GKE, and the biggest win was how clean the rollout process became. Health checks, autoscaling, and load balancing all worked well once we set things up properly. It is not the cheapest option if you overprovision, but the visibility in Cloud Monitoring made it much easier to spot waste
May 10, 2026
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Malcom Heller
Simple Scheduled Jobs with Cloud Scheduler + Functions
We switched part of our media processing stack to Cloud Storage plus Cloud CDN, and performance improved right away for users in different regions. Storage classes are flexible enough that we could move older files to cheaper tiers without much effort. We had some introductory usage credits via Joinsecret, around $350 over three months if I remember correctly, and that made the migration phase easier because we could test egress patterns before locking things in
May 8, 2026
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Lawrence Gleason Esq.
Faster Global Media Delivery with Cloud Storage + CDN
What I appreciate most about GCP is IAM and project-level separation. We split environments by project, locked down service accounts carefully, and audits became much clearer after that. Cloud Audit Logs and Organization Policies are not the most exciting features on paper, but they matter a lot once a team grows. There is definitely a learning curve, especially around permissions, though I would rather have that than overly loose defaults
May 4, 2026
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Ms. Damian Rippin
Strong Governance with IAM, Projects, and Audit Logs
Cloud SQL has been easier to manage than I expected. Automated backups, read replicas, and maintenance settings covered most of what we needed without turning database operations into a full-time job. It is still important to tune queries and monitor connections carefully, but for a SaaS app that needed predictable managed Postgres, it has worked well and been fairly stable
April 29, 2026
Start saving on the best SaaS
Secret has already helped tens of thousands of startups save millions on the best SaaS like Microsoft Teams, Google Workspace & many more. Join Secret now to buy software the smart way.