The Tool Desk
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What counts as a fair cost comparison?
Before comparing monthly bills, define one workload. Otherwise, a low app-compute price on one platform may be compared with an app-plus-database total on another. The figures below are provider-published prices and examples checked on October 7, 2026—not deployment benchmarks or a four-provider quote for an identical app.
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A useful comparison specifies:
- How many services run, and what each does; target CPU and RAM for each.
- Whether each service runs 24/7, scales to zero, or sleeps while idle.
- The database engine and plan, database storage, and any persistent disk or volume.
- Monthly outbound traffic, its destination regions, and whether the quoted allowance covers it.
- The deployment region, number of collaborators, and workspace or team plan.
- Whether taxes, credits, backups, monitoring, and operational services are included.
Nominal CPU and RAM labels do not guarantee identical performance across providers. A price comparison based on resource labels alone is therefore a starting point, not proof that two services can handle the same workload.
How much does Railway cost after the free tier?
Railway lists Free at $0 per month, Hobby at $5, and Pro at $20. Hobby includes $5 of resource usage per billing month, and Pro includes $20. These are plan minimums: when resource usage exceeds the included amount, the excess is added to the bill. The included amount resets each billing cycle and does not roll over.
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For container services, Railway’s listed rates are $20 per vCPU-month, $10 per GB of RAM-month, $0.05 per GB of network egress, and $0.15 per GB-month of volume storage. Builds are listed as free. Resource maxima depend on the plan and can multiply with replicas. (Railway, pricing and billing documentation, checked October 7, 2026.)
A compute illustration—not a quoted app bill
At those rates, a workload using 0.5 vCPU and 0.5 GB RAM continuously for a full billing month comes to $15 in metered compute: $10 for CPU plus $5 for RAM. That arithmetic excludes egress and volume storage. If that usage is on Hobby, the $5 included usage leaves $10 above the allowance, for a $15 total plan bill under these assumptions. Less resource use can produce a lower usage charge, but the Hobby plan still costs at least $5. The $15 figure assumes continuous full use for the billing month; it is not a vendor quote for a particular app.
Is Render cheaper than Railway?
Render’s published comparison gives a $7-per-month Starter compute example with 0.5 vCPU and 512 MB RAM. Render compares it with $15 of Railway metered compute for the same nominal resources at full use. Render says its example flat compute rates include 100 GB of outbound bandwidth, or 500 GB on Professional workspaces. Render describes this as a compute comparison before Railway egress and team per-seat fees; it is Render’s own comparison, not an independent benchmark. Workspace plan costs and other services can still affect a Render bill. (Render, pricing comparison, checked October 7, 2026.)
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The examples answer different pricing questions: Railway’s figure is metered compute under a stated full-use assumption, while Render’s is a flat Starter service price with a stated bandwidth allowance. They do not establish that Render is cheaper for every workload. Compare the workspace plan, service configuration, traffic beyond any included allowance, and database separately.
Render’s free tier is not an always-on substitute for paid compute
Render Free web services spin down after 15 minutes without inbound traffic and take about one minute to start again when a request arrives. Workspaces receive 750 free instance hours per calendar month; when that allocation is exhausted, free web services are suspended until the next month. Free Postgres permits one active database per workspace, is limited to 1 GB, and lasts 30 days. After expiry, there is a 14-day upgrade grace period before deletion. Free services also lack persistent disks and have other restrictions. (Render, free-instance and database documentation, checked October 7, 2026.)
Those limits matter if an app needs persistent local storage, an always-ready response, or a database beyond the stated free lifetime. A sleeping free service may reduce compute charges, but the startup delay is part of the trade-off.
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Is Fly.io cheaper than AWS?
Fly.io prices machines by CPU/RAM preset and region, and charges for resources while they are provisioned. Its published examples show why machine cost alone can be misleading:
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|---|---|---|
| Small continuously running machine | $2.21 | Shared-cpu-1x, 256 MB machine at $2.19, plus 1 GB of North American outbound data at $0.02. |
| App with Managed Postgres | $43.67 | Continuously running shared-cpu-1x, 512 MB machine; 10 GB volume; Managed Postgres Basic with 1 GB database storage; and 10 GB outbound data. Fly.io says the database accounts for most of this illustrative total. |
These are Fly.io’s examples, not estimates for the same application used in the Railway or Render comparisons. (Fly.io, pricing page, checked October 7, 2026.)
Fly.io’s listed public egress rates vary by region group: $0.02 per GB for North America and Europe; $0.04 per GB for Asia-Pacific, Oceania, and South America; and $0.12 per GB for Africa and India. Under granular rates, private cross-region transfer also varies. Fly.io says organizations created after July 18, 2024 are automatically on granular rates. Check an organization’s billing configuration and the current rate for the chosen region before using a traffic figure in a precise estimate.
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AWS cannot be compared as one service or one price. For an EC2-based app, an estimate needs the instance type and region, runtime, EBS storage, data transfer, and any applicable IP or monitoring charges. It also needs the database and any other managed services in the chosen architecture. AWS EC2 On-Demand is billed by instance time; AWS describes hourly or per-second charging, with a 60-second minimum and per-second partial-instance billing for several operating systems. AWS Pricing Calculator estimates do not include Free Tier by default unless specifically noted, and exclude expiring Free Tier usage. (AWS EC2 and Pricing Calculator documentation, checked October 7, 2026.)
Why an AWS total needs an architecture first
One defensible AWS comparison might use an EC2 web or worker service, persistent EBS storage, and a named database approach in a specified region. Another might use an AWS managed application service instead of EC2. Those are different architectures and need separate estimates. For either choice, include compute, storage, outbound networking, database, and any operational services you actually plan to use. Without those inputs, a single AWS monthly total would imply precision the available information cannot support.
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Compare the published examples without mistaking them for a single workload
The table puts the cited figures side by side, but their scope differs. Use it to identify what each number covers, not to declare a winner for an app whose traffic, database, and architecture have not been fixed.
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| Provider | Published figure | What it covers—and what it does not settle |
|---|---|---|
| Railway | Hobby $5/month; Pro $20/month, each including an equal amount of monthly resource usage. A stated full-use 0.5-vCPU/0.5-GB compute illustration is $15/month before egress and volume storage. | Plan minimums and metered usage. The compute illustration assumes continuous full use; it is not an all-in app total. |
| Render | $7/month Starter example for 0.5 vCPU/512 MB, with 100 GB outbound bandwidth stated as included in the flat compute price. | Render’s provider-authored compute comparison. Workspace plan costs and other items still matter. |
| Fly.io | $2.21/month small-machine example; $43.67/month app-plus-Managed-Postgres example. | Two Fly.io illustrations with different scopes. The latter includes a database, storage, and outbound traffic; it is not comparable to machine-only pricing. |
| AWS | No single total established. | Must be estimated for a selected service architecture, region, runtime, storage, network use, database, and optional services. |
Which costs change the answer most?
Always-on use versus idle time
A flat service price, metering tied to resource use, and billing for provisioned machine time can behave differently when a service is idle. Render Free has a documented sleep behavior and startup delay; Fly.io bills provisioned resources for the time provisioned. For Railway, calculate the actual metered usage against the plan allowance rather than assuming a plan fee buys unlimited resources. On AWS, estimate the selected instance runtime and attached resources; do not assume an instance stops billing merely because app traffic is low.
Database and storage
Keep app compute separate from database, persistent volume, and database storage costs. Fly.io’s $43.67 example is a useful warning: its stated small app total is driven mostly by Managed Postgres, not just the app machine. Render’s free database has a stated size and lifetime limit, while Railway’s listed volume rate adds a distinct storage charge. On AWS, choose and cost the database approach rather than leaving it implicit.
Bandwidth and region
Record outbound traffic separately from inbound requests and note which destinations are involved. Render states a bandwidth allowance in its comparison; Railway lists an egress rate; Fly.io’s public egress rate depends on region group. AWS transfer charges depend on the selected service and estimate inputs. Do not compare a provider’s included allowance with another provider’s paid traffic as if the bill covered the same amount of data.
Team fees, predictability, and operating effort
Include workspace or per-seat charges for the number of collaborators who will actually use the project. A flat service price can be easier to forecast for a stable workload, while metered use can track changing consumption but needs monitoring. AWS can be assembled to fit a workload, but that flexibility also means choosing, estimating, and operating more of the architecture. Include operational services you will use; do not assign them a made-up cost or treat hands-on administration as free.
How to produce a useful monthly estimate
- Write down the workload. List services, CPU/RAM targets, uptime or sleep expectations, database plan and storage, persistent volume size, monthly outbound traffic, region, and collaborators.
- Separate the bill into line items. Price app compute, database, persistent storage, egress, workspace or seat fees, and optional monitoring or other services separately.
- Apply each provider’s billing model. For Railway, apply the included monthly usage and any excess; for Render, distinguish workspace costs from flat service compute and note the stated allowance; for Fly.io, use provisioned time, machine size, region, storage, and applicable transfer rates; for AWS, estimate the chosen service architecture and runtime.
- Run at least two utilization cases if usage is uncertain. A continuously running app and an app with long idle periods may have different bills and availability behavior. Keep each case’s assumptions beside its total.
- Check limits and bill controls. Verify resource maxima, included hours or usage, bandwidth allowances, and the treatment of replicas. Set up whatever billing alerts or usage monitoring the platform provides, then recheck live pricing and regional rates before committing.
Which platform should you choose after free hosting?
Choose by the workload and the kind of bill you can manage, rather than by the smallest isolated compute number. Railway publishes clear resource rates and monthly allowances, Render publishes a flat Starter compute example with included outbound bandwidth, and Fly.io’s examples show both very low machine-only cost and a much larger total once a managed database is added. AWS can only be judged after its services and operating assumptions are specified.
For a small app, make a first estimate with the intended database and traffic included; these often change the apparent winner. If the app is still a prototype, sleeping free compute may be acceptable only if its delay and persistence limits fit the use case. Once reliability, database lifetime, or always-on behavior matters, compare paid configurations on those requirements as well as their monthly totals.
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