Estimate the monthly costs for core Google Cloud services.
Standard
Nearline
Coldline
Archive
Estimated Monthly Cost
$0.00
Understanding Google Cloud Costs
Google Cloud Platform (GCP) offers a wide array of services, each with its own pricing model. Accurately estimating your monthly costs is crucial for budgeting and optimizing your cloud spend. This calculator provides a simplified estimation for some of the most commonly used services: Compute Engine, Cloud Storage, and BigQuery.
Key Services and Pricing Factors:
Compute Engine: The cost of Compute Engine is primarily determined by the number of virtual CPUs (vCPUs), the amount of RAM, and the duration the instances are running. Different machine types and custom configurations also influence pricing. The prices used in this calculator are approximations for common configurations and regions.
Cloud Storage: Pricing for Cloud Storage depends on the amount of data stored (GB per month), the storage class (Standard, Nearline, Coldline, Archive), and the network egress (data transferred out of GCP). Storage classes offer different durability, availability, and retrieval costs, with Archive being the cheapest for storage but most expensive for retrieval.
BigQuery: BigQuery has two main pricing components: storage and analysis. Storage costs are based on the amount of data stored per month. Analysis costs are typically based on the amount of data processed by your queries (per TB). BigQuery offers a free tier for storage and analysis, which is not factored into this basic calculator.
How this Calculator Works (Simplified Model):
This calculator uses simplified, approximate pricing figures for illustrative purposes. Actual costs can vary significantly based on region, specific service configurations, sustained usage discounts, committed use discounts, and network traffic.
Compute Engine: A blended hourly rate is applied based on vCPU and RAM. Storage costs are added per GB. Monthly Cost = (vCPUs * GB RAM * Hourly Rate) * 24 hours/day * 30 days/month + (Storage GB * Storage Rate/GB/month). Note: Actual Compute Engine pricing is more granular per machine type and duration.
Cloud Storage: A per-GB monthly rate is applied based on the selected storage class. Monthly Cost = Storage GB * Rate/GB/month. This does not include network egress costs, which can be substantial.
BigQuery: Storage costs are calculated per GB/month. Analysis costs are calculated per TB of data processed by queries. Monthly Cost = (Storage GB * Storage Rate/GB/month) + (Analysis TB * Analysis Rate/TB).
Use Cases:
This calculator is useful for:
Initial Budgeting: Getting a rough estimate of monthly expenses for new projects or applications.
Capacity Planning: Understanding how changes in resource usage might impact costs.
Explaining Cloud Costs: Providing a tangible way to visualize the cost components of cloud services.
Disclaimer: This is an estimation tool only. For precise pricing and detailed cost breakdowns, always refer to the official Google Cloud Pricing Calculator and your billing reports.
function calculateCost() {
// — Pricing Rates (Approximations – subject to change and region variation) —
// These are illustrative blended rates. Actual GCP pricing is complex.
var computeEngineRatePerHour = 0.04; // Blended rate per vCPU + RAM GB per hour
var computeEngineStorageRatePerGBMonth = 0.02; // Standard HDD-like pricing
var cloudStorageRates = {
"Standard": 0.020, // $/GB/month
"Nearline": 0.010, // $/GB/month
"Coldline": 0.004, // $/GB/month
"Archive": 0.0012 // $/GB/month
};
var bigQueryStorageRatePerGBMonth = 0.02; // $/GB/month
var bigQueryAnalysisRatePerTB = 5.00; // $/TB queried
// — Input Values —
var cores = parseFloat(document.getElementById("computeEngineCores").value);
var ramGB = parseFloat(document.getElementById("computeEngineRAM").value);
var computeStorageGB = parseFloat(document.getElementById("computeEngineStorage").value);
var storageClass = document.getElementById("cloudStorageType").value;
var cloudStorageGB = parseFloat(document.getElementById("cloudStorageGB").value);
var bigQueryStorageGB = parseFloat(document.getElementById("bigQueryStorageGB").value);
var bigQueryAnalysisTB = parseFloat(document.getElementById("bigQueryAnalysisTB").value);
// — Validation —
var totalCost = 0;
if (isNaN(cores) || cores < 0) cores = 0;
if (isNaN(ramGB) || ramGB < 0) ramGB = 0;
if (isNaN(computeStorageGB) || computeStorageGB < 0) computeStorageGB = 0;
if (isNaN(cloudStorageGB) || cloudStorageGB < 0) cloudStorageGB = 0;
if (isNaN(bigQueryStorageGB) || bigQueryStorageGB < 0) bigQueryStorageGB = 0;
if (isNaN(bigQueryAnalysisTB) || bigQueryAnalysisTB < 0) bigQueryAnalysisTB = 0;
// — Calculations —
// Compute Engine Cost
// Simplified: Blended rate per core-RAM unit per hour
var computeEngineInstanceCost = cores * ramGB * computeEngineRatePerHour;
var computeEngineMonthlyCost = computeEngineInstanceCost * 24 * 30; // Assuming 30 days/month
var computeEngineStorageCost = computeStorageGB * computeEngineStorageRatePerGBMonth;
totalCost += computeEngineMonthlyCost + computeEngineStorageCost;
// Cloud Storage Cost
var selectedStorageRate = cloudStorageRates[storageClass] || cloudStorageRates["Standard"];
var cloudStorageMonthlyCost = cloudStorageGB * selectedStorageRate;
totalCost += cloudStorageMonthlyCost;
// BigQuery Cost
var bigQueryStorageMonthlyCost = bigQueryStorageGB * bigQueryStorageRatePerGBMonth;
var bigQueryAnalysisMonthlyCost = bigQueryAnalysisTB * bigQueryAnalysisRatePerTB;
totalCost += bigQueryStorageMonthlyCost + bigQueryAnalysisMonthlyCost;
// — Display Result —
document.getElementById("result-value").innerText = "$" + totalCost.toFixed(2);
}