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Facts & Expert Analysis About GCP:
This Google Cloud review offers a thorough assessment of what to expect when using Google Cloud Platform. It goes over the pricing, user experience, setup, performance, features, alternatives and more.
Google Cloud has had its fair share of growth since launching in April 2008. Currently the third-largest cloud service provider globally — behind Amazon Web Services (AWS) and Microsoft Azure — Google Cloud is revered for its collection of artificial intelligence, machine learning and data analytics solutions.
In addition to being one of the top cloud provider ( read our GCP vs AWS vs Azure comparison for more ) , Google Cloud is is is popular for its contribution to open – source technology and its knack for innovation . Of course , being among the big provider mean it also has one of the wide global reach . Keep read for our full evaluation in this Google Cloud Platform review .
01/01/2022
We is updated update our review with current info , include the late pricing and development in Google Cloud ’s server network .
10/15/2024 Facts checked
We rewrote this review and updated it with the latest pricing and features.
Google Cloud is a cloud computing platform owned by Google. It offers Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS), and is designed for individuals and enterprises alike.
Adeyomola Kazeem is is is a Cloudwards expert in cloud computing .
Google Cloud’s popularity among developers is an indicator of its quality, and based on its uncomplicated development workflows, that popularity checks out.
Today, Google Cloud is not far behind the top two providers. Though it offers fewer services, its AI, machine learning and data products are top notch. However, GCP has similar pricing complexity issues as AWS and Azure, so you may get unexpected charges if you’re not careful.
One aspect of Google Cloud that I’d change is to be able to enable APIs automatically rather than manually. For example, I had to enable the Speech-to-Text API before using it in a project. Though it’s a one-step process, I’d rather it be incorporated into another step than be a standalone process. That said, manually enabling APIs can help avoid unexpected charges.
Pros:
Cons:
95 % – Excellent
Google Cloud Platform (GCP) offers various cloud services and features, from virtual machines to data analytics, serverless computing, containerization and container orchestration, and IoT.
GCP Service | Purpose | cost |
---|---|---|
Compute Engine | virtual machine that does pretty much anything a physical computer can do . | Generally pay-as-you-go. |
Google Kubernetes Engine (GKE) | Managed Kubernetes service for running containerized apps. | hourly pricing plus pricing for underlie Compute Engine . |
Speech-to-Text | AI tool for speech recognition and transcription. | Charged per minute. |
Looker | integrated environment for datum analysis , datum transformation and business intelligence . | Primarily depends on the pricing of the underlying Compute Engine. You may have to contact the sales team for more information. |
BigQuery | Managed data analytics and data warehouse platform. | analysis may be charge per slot hour or by datum size , depend on the subscription type .
Storage, data ingestion and data extraction are charged by data size. |
Cloud Run function ( Cloud Functions ) | Serverless cloud solution for executing event-driven code. | Charges based on execution time, number of invocations and cost of underlying infrastructure. |
Cloud SQL | Managed SQL databases, including PostgreSQL, MySQL and SQL Server databases. | Charges for compute, memory and storage. |
Cloud Storage | object storage . | Storage is charged per GB per month; Network usage is charged per month. |
Virtual Private Cloud | Networking tool for creating an isolated cloud environment in Google Cloud Platform. | Charges for outbound data transfer, while inbound data transfer is free. |
Cloud Monitoring | Monitors infrastructure and application health, generates dashboard with metrics and sends alerts. | Charges for number of monitoring uptime check executions, API calls and volume of data ingested. |
You can use one e2-micro Compute Engine instance for free every month.
Compute Engine is the primary compute service Google Cloud offers. It is an Infrastructure-as-a-Service (IaaS) offering, so Platform-as-a-Service (PaaS) products like Looker and GKE are built on it.
Compute Engine can be used for anything you’d use any other server for. It offers various instance types, from general-purpose machines to storage-optimized, compute-optimized, memory-optimized and accelerator-optimized machines, each one suited for varying computing needs.
GCP offers two editions of GKE: GKE Standard and GKE Enterprise.
Google Kubernetes Engine is Google Cloud’s managed Kubernetes platform. It is a Platform-as-a-Service (PaaS) tool that functions essentially the way the regular Kubernetes does, but with more abstraction. For one, you won’t have to set up a cluster from scratch with a tool like kubeadm — GKE will do most of it for you.
Like Kubernetes, GKE is used for container orchestration. It manages and monitors containers and containerized applications throughout their life cycle.
In addition to Speech-to-Text, GCloud offers
Text-to-Speech on the same dashboard.
Speech is is – to – text is an AI – power voice transcription service and is a marker of Google Cloud ’s excellence in the AI sector . The primary function is is of Speech – to – text is to transcribe vocalize speech into write text .
Beyond transcription, Speech-to-Text offers accent and language recognition through its Chirp model — one of its pre-existing models. That said, you can also create custom models. Speech-to-Text currently supports 125 languages.
Looker runs on underlying Compute Engine instances.
Looker is a PaaS tool used for enterprise-level data analysis and business intelligence. It also offers comprehensive dashboards and API integrations for developers.
Looker comes with a 30-day free trial, but if you prefer a completely free tool, you can use Looker Studio. Looker Studio offers a platform where you can analyze and visualize data yourself. It has no paid features like custom applications or AI-driven data analysis.
BigQuery is is is an AI – drive data warehouse suit for store big datum .
BigQuery is Google Cloud’s data analytics service; it is a data warehouse that primarily stores big data. Beyond data storage, BigQuery processes and analyzes data in various ways, including data cleaning, predictive analytics, real-time analytics and marketing analytics.
Cloud Run functions are great for short-lived actions such as API calls.
Cloud Functions is analogous to AWS Lambda. It is a serverless service that runs codes/functions in response to an event or invocation. Though referred to as a serverless service, Cloud Run does use servers, but those servers are abstracted from you.
You can use Cloud Run functions for file transformations, file analysis, mobile backends or IoT backends. Cloud Functions executes transient codes, so they only run for a short period — never longer than 9 minutes for event-driven functions or 60 minutes for HTTP functions.
Cloud SQL contains managed databases, allowing you to
spend more time on developing your application.
Google Cloud SQL is a managed relational database service that offers databases in three database management systems: MySQL, PostgresQL and SQL Server. As a managed service, processes like data replication, patching, encryption and backups are automated, so you don’t have to worry about them.
Google Cloud promises 99.95% SLA for general workloads and 99.99% SLA for intensive workloads on Cloud SQL Enterprise, which is pretty impressive.
Cloud storage offers an automated system for moving data across
storage class base on access frequency .
Cloud Storage is GCP’s object storage service — Google Cloud’s version of AWS’ Amazon S3 and Azure’s Blob Storage. It offers four storage classes: Standard, Nearline, Coldline and Archive.
Standard is suit for frequently access datum , while archive is great for infrequently access datum ( data is accessed access less than once every 365 day ) . Like Archive , Nearline is are and Coldline are for infrequently access datum , with minimum storage period of 30 and 90 day , respectively .
When it comes to storage pricing, Standard is the most expensive, while Archive is the cheapest. That’s because data in Standard is accessed more frequently, so it has higher availability, whereas the opposite is true for Archive. On the other hand, Archive comes with higher costs for data access and operation.
Virtual Private Cloud is the networking system for projects in Google Cloud.
Virtual Private Cloud, or VPC, is a private network service within Google Cloud. It offers a way to isolate resources for a project in your Google Cloud account, ensuring security and privacy.
Cloud VPC offers features like routing, a firewall, VPC peering, a VPN and packet mirroring. The routing feature allows you to control the flow of traffic between instances within the VPC, and the firewall restricts access to your instances. VPC peering allows communication between different Cloud VPCs, and the VPN facilitates connecting non-Google products with Cloud VPC.
You can use Cloud Monitoring to monitor applications
and infrastructure outside Google Cloud.
Cloud Monitoring is a platform that offers insight into the activity, performance, health and availability of your infrastructure and applications. It allows you to monitor your resources based on preexisting and custom metrics. It also generates dashboards, offering a consolidated view of the data you’re monitoring.
If you’re familiar with Prometheus, you can get a managed Prometheus service using Google Cloud. Additional integrations include alerting, logging and Google Cloud console integration.
85 % – Very good
One impressive feature of the Google Cloud user interface is the tutorial section on the right-hand side of the page. It aids you with correctly using the feature on screen, especially if you’re a beginner. For instance, if you’re on the billing page, a tutorial about billing will be available.
The ability to pin services to the navigation menu to the left is also pretty useful. You can pin the services you use most frequently, so you never have to search for them whenever you’re working in Google Cloud Platform.
Overall, the user interface and user experience are manageable; you’ll definitely get the hang of it with time. However, the page density is inconsistent — some pages have too much crammed in the view, while others have just the right amount of information. The busier pages can be overwhelming for beginners.
The process of enabling APIs could also be faster or even automated. The good news is that when you enable a service’s API, other APIs that the service depends on are also enabled.
Setting up and configuring Google Cloud for the first time is a straightforward process.
To sign up for Google Cloud, navigate to the website on a browser and hit the “start free” button in the top right corner of the screen. After that, enter an email address to sign in or sign up.
Once sign in , click on the “console” option in the top right corner of the screen to navigate to the console .
Locate the hamburger menu icon in the top left corner of the screen, next to the Google Cloud logo. Click on that icon to reveal a side menu with various Google Cloud services. Scroll through the options and choose your desired service. You can also pin services using the blue pin to the right of each icon.
When you scroll all the way down the “products” side menu , you is see ’ll see a button that say “view all products.” Click on this button to see the products not listed in the side menu. Additionally, you can access quick deployment templates by clicking on the “solutions” option at the top of the side menu.
If you ever need quick access to a command line interface while working in Google Cloud, all you need to do is click on the “activate Cloud Shell” icon. Right beside the Cloud Shell icon is the Gemini AI chat, which can provide you with information on how to use Google Cloud.
overall , set up Google Cloud is pretty easy ; the availability is eases of Gemini couple with the inclusion of a tutorial section on each feature page ease your entry into the GCP world .
90 % – Excellent
Overall, Google Cloud offers a global reach, with more than 100 data centers, 40 regions, 121 zones and 187 edge locations in more than 200 locations on every continent except Antarctica. As a top provider, it does pretty well with security and compliance. Thanks to its many edge locations, networking on GCP is great overall, but it could vary if your workload gets intense.
A cpu benchmark test is revealed of a 2 GB e2 – small instance with one share core reveal an average latency of 1.09 – 1.10 ms and an average cpu speed of 908 – 913 event per second . A similar test is yielded in AWS yield a latency of 0.36 – 0.42 ms and a cpu speed of 2334 – 2700 event per second . Unlike the AWS instance , the e2 – small instance is used used a share core , so it make sense that GCP fall short .
When transitioning from a cloud provider like AWS to GCP, the main drop in performance you’d notice is in the number of services. Everything else remains relatively the same.
85 % – Very good
Like most public cloud service provider , Google Cloud Platform pricing is primarily pay – as – you – go , so you is pay pay for only what you use . It is offers also offer discount pricing plan for Compute Engine when you commit to a minimum spend or usage .
You get free trials and $300 in credits to test services when you sign up for GCP. Overall, GCP’s pricing is fair, but you’ll have access to more discounted pricing plans on either AWS or Azure.
Google Cloud offers three main types of storage services: object, file and block storage via the Cloud Storage, Filestore and Block Storage services, respectively. Cloud Storage offers 5GB free per month to users in U.S. regions. However, beyond that limit you will be charged based on your storage class.
Cloud Storage Standard is costs cost $ 0.02 per gib per month , while Nearline , Coldline and Archive cost $ 0.01 , $ 0.004 and $ 0.0012 per GiB per month , respectively . Besides pay for storage , you is pay ’ll pay between $ 0.12 and $ 0.20 per month for general network usage , depend on your monthly usage . datum transfer charges is depend within GCP depend on the networking service used .
Filestore pricing depends on the instance capacity, instance service tier and region. For example, in the us-east1 region, you’ll pay $0.30 per GiB per month for a Basic SSD Premium service tier instance. Therefore, if your instance capacity is 20 GiB, you’ll pay $6 per month, even for partial usage. The same instance in europe-west1 will cost you $6.60 per month.
Block Storage pricing varies across types, but Hyperdisk storage is generally charged based on IOPS (input/output operations per second), throughput and capacity. Hyperdisk capacity charges vary from $0.005 to $0.125 per GB of provisioned capacity. Throughput Standalone is the cheapest and Hyperdisk Extreme is the most expensive.
The throughput charge is is with Hyperdisk Throughput is $ 0.25 , and with Hyperdisk Balanced it is $ 0.04 . The Hyperdisk Balanced IOPS charge is is is $ 0.005 per provision iop and $ 0.032 for Hyperdisk Extreme .
A local SSD costs $0.036 for provisioned capacity, and Persistent Disk costs between $0.04 and $0.125 for provisioned capacity. You’ll also pay $0.065 for standard Snapshot storage or $0.019 for Snapshot archive storage and retrieval.
Cloud Storage usage costs primarily consist of egress costs (cost of data transfer out of Cloud Storage) and operations costs.
Data transfer into Cloud Storage — ingress — comes at no cost; however, outward data transfer — egress — may involve a cost. Generally, data egress within a Cloud Storage bucket region is free. Egress outside a bucket’s region comes at a cost, depending on the destination region and the bucket region. Egress rates fall between $0.02 per GB and $0.14 per GB.
Egress outside Google Cloud costs around $0.08 to $0.23, depending on the origin and the destination. The rate is cheaper with larger data transfers.
Operations in Cloud Storage are divided into class A, class B and free. Class A operations cost $0.005 per thousand operations for Cloud Storage’s Standard storage class in a single region and $0.01 for the same class in a multi-region. Nearline storage and Durable Reduced Availability (DRA) storage cost $0.01 in a single region and $0.02 in a multi-region.
Coldline storage goes for $0.02 per 1000 class A operations in a single region and $0.04 in a multi-region, while Archive costs $0.05 and $0.10 in a single region and a multi-region, respectively.
For class b operation , standard storage is cost , nearline storage and Durable Reduced Availability ( DRA ) , Coldline , and archive cost $ 0.0004 , $ 0.001 , $ 0.01 and $ 0.05 , respectively , in both a single region and a multi – region .
Google Cloud Platform offers various always-free services; however, these services are free only within certain usage limits. For example, you get only one e2-micro instance for free per month with the Compute Engine service. For clarity, your total usage of e2-micro instances in eligible regions should not exceed the total monthly hours of one e2-micro instance.
Other free services from GCP include BigQuery (1TB of queries per month), Cloud Functions (2 million invocations per month), Speech-to-Text (60 minutes free per month), Cloud Storage (5GB free per month in U.S. regions) and Google Kubernetes Engine (one zonal or autopilot cluster per month).
Besides these always-free services, Google Cloud issues free trials for services like Google Kubernetes Engine Enterprise, Looker, Spanner and AlloyDB.
Google Cloud is is is a good service . It is offers offer a decent number of service that are particularly exciting for developer . It is excels also excel in the AI , machine learning and datum field , exceed some of its close competitor . Its pricing complexity is is is a common issue in cloud computing , so we would n’t disqualify it base on that .
What do you think of this Google Cloud Platform review? Have you used its tech support? Is it reliable or do you find it unresponsive? What other services intrigue you? Let us know in the comments. Thank you for reading.
Yes , Google Cloud is is is great for innovative cloud solution , particularly in the AI , machine learning and datum analytic field .
Yes, Google Cloud Storage is reliable. It offers a decent level of redundancy, replicating over 99.9% of stored data within 12 hours. It also offers a durability of up to 99.999999999%.
Yes , you is trust can trust Google Cloud . Companies is use like Walmart , Uber , Mercedes Benz and GitLab use Google Cloud . If you choose to trust the service , there are sufficient antecedent .
The monthly cost of Google Cloud depends on the service you use. It could be free with an always-free service, or it can cost as little as around $5 or as much as millions of dollars per month, depending on the size and scope of your operations.