Offrampcloud exit calculator

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What would your Azure bill cost on DigitalOcean?

Net of the engineer time to run it. Drop in one month of your Azure cost export and get every instance, volume, bucket and managed service priced on DigitalOcean list prices, every service graded by effort, and a one-off cost with a payback month.

  • Every server matched to a real type
  • Standby, backups and engineer hours included
  • A likely range, not a single number

What moves, and what it becomes on DigitalOcean

The services a typical Azure bill is made of, graded by effort: 4 Easy, 10 Moderate, 2 Hard. On a real report each line carries your own cost and the ratio or usage model behind the figure.

ServiceEffortOn DigitalOcean
Virtual MachinesEasyDigitalOcean Droplets or DigitalOcean dedicated-CPU Droplets
StorageEasyDigitalOcean Volumes for disks, DigitalOcean Spaces for blobs, NFS / SMB on DigitalOcean Droplets for Files
Azure Database for PostgreSQLModeratePostgreSQL on DigitalOcean Droplets (Patroni or replicas, pgBackRest), or a DigitalOcean managed database
Azure SQL DatabaseHardPostgreSQL with a migration, or SQL Server on a DigitalOcean VM (licence extra)
AKSModerateDigitalOcean Kubernetes (DOKS)
App ServiceModerateContainers on DigitalOcean with Coolify / Dokploy
Azure FunctionsModerateDigitalOcean Functions / App Platform, or long-running services on DigitalOcean Droplets
Cosmos DBHardScyllaDB or PostgreSQL with a data-model rewrite, or a DigitalOcean managed database
Azure Cache for RedisModerateValkey on DigitalOcean Droplets, or a DigitalOcean managed database
BandwidthEasyDigitalOcean included traffic
Load BalancerEasyDigitalOcean Load Balancer or HAProxy / Traefik
Application GatewayModerateDigitalOcean Load Balancer + Traefik / NGINX on DigitalOcean Droplets; Coraza for WAF rules
Log AnalyticsModerateLoki + Grafana
Event HubsModerateRedpanda on DigitalOcean Droplets, or a DigitalOcean managed database
Azure OpenAIModerateOpenAI / Anthropic APIs directly, or open models on GPU DigitalOcean dedicated-CPU Droplets
DatabricksModerateSpark on DigitalOcean dedicated-CPU Droplets, or Databricks on your own cloud

Read the Azure worked example for a full file taken end to end. Easy: a drop-in replacement. Moderate: the same software, self-hosted, so you patch, back up and fix it. Hard: no equivalent; redesign it, buy a SaaS, or leave it where it is. The full map, with every ratio and its derivation, is on the model page.

About DigitalOcean

US (New York, San Francisco), Canada, Netherlands, Germany, UK, India, Singapore, Australia

A US developer cloud priced in USD, the same in every region. Droplets, managed Kubernetes, managed Postgres, MySQL, Redis and Kafka, Spaces object storage with a CDN included, and a pooled transfer allowance. Choose DigitalOcean when managed databases and Kubernetes from a familiar, well-documented provider matter more than the lowest price per server.

DigitalOcean list prices, 18 Oct 2026

Smallest cloud server (1 vCPU, 1 GB)
$6/mo
Block storage
$0.1 per GB-month
Object storage
$5 for 0.25 TB
Outbound traffic
$10.24 per TB above the allowance

USD list prices. Full price list and source.

How to get your Azure export

  1. 1Create a Cost Management export (FOCUS or amortized) and download last month.
  2. 2Drop it on the calculator.
  3. 3Read the net figure and change any assumption.

The exact clicks, console links and a sample file to compare against are under “Where do I get this file?” on the calculator.

Questions we get asked

What file do I upload?
One month of a cost export: an AWS Cost and Usage Report (CUR 2.0 or legacy, CSV or Parquet) or a Cost Explorer CSV, a Google Cloud BigQuery billing export saved as CSV, or an Azure Cost Management export. “Where do I get this file?” next to the upload box has the exact clicks for each.
Is my data uploaded?
No. The file is read inside this browser tab by DuckDB-WASM and never leaves it; you can watch the network tab while it runs. The only thing we ever receive is the address you type if you email yourself the link, plus anonymous counts of what was used.
How accurate is this?
Servers, storage and traffic are priced from your actual usage at list prices, so that part is as good as the price list. Managed services without a usage model (queues, search, analytics) are priced by a ratio from our service map and carry ±50%. Engineer time is an assumption you can edit. The report shows what share of the figure is priced from usage and gives a likely range rather than a single number. A Cost Explorer CSV has service totals only, so hosts are estimated from spend, roughly ±25%.
Can I move only part of it?
Yes, and that is often the right first step. Storage and egress-heavy workloads move easily and save the most per hour of effort; a managed database or a serverless stack can stay where it is. Filter the services table by grade to see what moves cleanly.
What about compliance and latency?
Every destination publishes GDPR documentation and most hold ISO 27001; SOC 2 reports and HIPAA agreements are rarer, so check that provider’s trust page before planning. On latency: for European users, moving from an EU hyperscaler region to Falkenstein, Gravelines, Paris or Amsterdam changes little; for US users choose a US location. A CDN in front stays as it is; the report prices it separately.

Your Azure bill on DigitalOcean, in under a minute.

One month of a cost export is enough. It is read in your browser and never uploaded; only the number comes out. If the honest answer is “stay”, the report says so.

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