Estimate Cloud Spending Before Deployment
Test compute hours, storage size, bandwidth, databases, and other billing units before creating production resources.
Estimate compute, storage, bandwidth, databases, serverless usage, and other cloud costs before you deploy or scale a workload.
Test compute hours, storage size, bandwidth, databases, and other billing units before creating production resources.
Plan costs for websites, apps, APIs, databases, data systems, and growing platforms using your own workload numbers.
Compare similar workloads across providers, regions, instance sizes, storage plans, and pricing options.
Start with tools for compute, storage, bandwidth, databases, serverless requests, and monthly cloud planning.
Compare AWS EC2, Azure Virtual Machines, Google Compute Engine, or custom VM plans using runtime, commitments, Spot usage, storage, bandwidth, IPs, load balancers, and first-year cost.
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Compare Amazon S3, Azure Blob Storage, Google Cloud Storage, or custom object storage plans using storage tiers, requests, retrievals, egress, lifecycle transitions, replication, and migration cost.
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Compare Amazon RDS for PostgreSQL, Azure Database for PostgreSQL Flexible Server, and Google Cloud SQL using compute, HA, replicas, storage, IOPS, backups, transfer, support, and migration cost.
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Compare Amazon RDS for MySQL, Azure Database for MySQL Flexible Server, and Google Cloud SQL using compute, HA, replicas, storage, IOPS, backups, transfer, extended support, and migration cost.
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Compare Amazon ElastiCache, Azure Managed Redis, and Google Cloud Memorystore using node, serverless, memory, request, backup, transfer, support, and migration costs.
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Compare Amazon RDS for SQL Server, Azure SQL Managed Instance, and Google Cloud SQL using compute, licensing, HA, storage, IOPS, backups, transfer, discounts, and migration cost.
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Browse every cloud cost tool for compute, storage, bandwidth, databases, serverless usage, and other recurring services.
Compare AWS EC2, Azure Virtual Machines, Google Compute Engine, or custom VM plans using runtime, commitments, Spot usage, storage, bandwidth, IPs, load balancers, and first-year cost.
Compare Amazon S3, Azure Blob Storage, Google Cloud Storage, or custom object storage plans using storage tiers, requests, retrievals, egress, lifecycle transitions, replication, and migration cost.
Compare Amazon RDS for PostgreSQL, Azure Database for PostgreSQL Flexible Server, and Google Cloud SQL using compute, HA, replicas, storage, IOPS, backups, transfer, support, and migration cost.
Compare Amazon RDS for MySQL, Azure Database for MySQL Flexible Server, and Google Cloud SQL using compute, HA, replicas, storage, IOPS, backups, transfer, extended support, and migration cost.
Compare Amazon ElastiCache, Azure Managed Redis, and Google Cloud Memorystore using node, serverless, memory, request, backup, transfer, support, and migration costs.
Compare Amazon RDS for SQL Server, Azure SQL Managed Instance, and Google Cloud SQL using compute, licensing, HA, storage, IOPS, backups, transfer, discounts, and migration cost.
Compare Amazon EKS, Azure Kubernetes Service, and Google Kubernetes Engine using cluster fees, worker or pod compute, storage, load balancers, NAT, transfer, logging, backups, discounts, and migration cost.
Compare AWS Lambda, Azure Functions, and Google Cloud Run functions using requests, execution time, memory, vCPU, warm capacity, storage, transfer, logging, discounts, and migration cost.
Compare AWS EBS gp3, Azure Premium SSD v2, Google Hyperdisk Balanced, and custom block storage costs using capacity, IOPS, throughput, snapshots, migration, and budget.
Compare AWS NAT Gateway, Azure NAT Gateway, Google Cloud NAT, and custom managed NAT costs using gateway hours, protected instances, processed traffic, public IPs, transfer, logging, and migration cost.
Compare AWS, Azure, Google Cloud, and Cloudflare load balancer costs with editable hourly, capacity, traffic, WAF, logging, transfer, and setup inputs.
Cloud pricing can change with instance hours, storage size, request count, bandwidth, regions, and database usage. These tools help you test those numbers before you spend money.
Estimate virtual machine costs for a planned workload.
Calculate object storage and retrieval costs.
Estimate bandwidth and data transfer charges.
Compare serverless usage at different request volumes.
Forecast managed database spending.
Compare on-demand and committed pricing options.
Estimate costs for development, staging, and production.
Test future cloud spending as traffic grows.
Cloud services are flexible, but the same flexibility can make the final bill difficult to predict. Compute, storage, bandwidth, databases, requests, regions, and extra services may all be billed in different ways.
A useful estimate starts with a real workload. You may need to know how many hours a server will run, how much data will be stored, how much traffic will leave the cloud, and how many requests the system may handle.
Small changes in instance size, storage class, region, or traffic can change the monthly bill. Beeija calculators help you test a small setup, a normal month, and a busy month before choosing a provider or architecture.
Cost is only one part of the decision. Speed, reliability, security, support, data location, and service limits may also matter. Always check the latest official provider pricing before making a final budget or purchase decision.
A cloud cost calculator estimates spending for compute, storage, bandwidth, databases, serverless functions, and other cloud services.
Start with the resources you need, expected usage, region, and billing period. Then add compute, storage, data transfer, database, and request costs for a normal month.
Yes. Use the same workload and usage numbers across providers to compare possible costs more fairly.
Many providers charge for data leaving the cloud or moving between regions and services. High traffic can make these charges a large part of the final bill.
No. They are planning estimates. The final bill may change because of updated prices, discounts, taxes, extra services, or actual usage.
Most Beeija tools run in your browser. Your inputs are not uploaded unless a tool clearly says that it needs an external price or URL check.