Choose Adios for
An AI coding workspace connected to hosting and data services.
Compare DigitalOcean’s cloud and App Platform with building and running your product on Adios.
Reviewed Published by Adios
BUILT ON ADIOS
Runs its frontend and backend together on Adios after moving from Kubernetes on AWS.
Runs workflows and agents on Adios.
Builds prototypes and deploys them to production on Adios.
SIDE BY SIDE
An AI coding workspace connected to hosting and data services.
App Platform hosting, Droplets, or the wider DigitalOcean cloud portfolio.
Hosting comparison: DigitalOcean App Platform.
| Your workflow | adios↗Build + run, together | DigitalOceanCloud platform |
|---|---|---|
| Build with AI | AI workspace, terminal, previews, and diffs. ↗ | App Platform deploys code. An MCP server lets AI clients manage apps. [3] |
| Work with your code | Git repositories, templates, or local source. ↗ | GitHub, GitLab, or public Git repositories, or container images. [1] |
| Host the application | Web apps, APIs, WebSockets, and workers. ↗ | Managed application components on App Platform. [1] |
| Connect your data | Postgres, Redis, MongoDB, MySQL, and RabbitMQ templates. ↗ | Dev databases and separate Managed Databases. [4] |
| Manage the release | Build, health, and resource settings in adios.yaml. ↗ | Deploy on push, rollback, monitoring, and scaling controls. [1] |
| Backend & runtime | Configurable runtime, commands, ports, and resources. ↗ | Buildpacks or Docker; web services, workers, and jobs. [1] |
| App authentication | Your authentication code or chosen identity provider. ↗ | Your application's chosen authentication system. [1] |
| Background work | Workers and workflows; limited cron support. ↗ | Worker and job components. [1] |
| Preview & release | Workspace previews; deploy healthy versions. ↗ | Repository-driven deployments with rollback and monitoring. [1] |
| What moves with you | Git source; separate data and service migration. ↗ | Source or containers; local files are ephemeral, without volumes. [6] |
The hosting comparison below uses DigitalOcean App Platform. Droplets, Kubernetes, and other DigitalOcean products have different capabilities and operational requirements.
Official sources · Reviewed
Published by Adios. Recommendations reflect our assessment; check current provider plans and documentation.
PRICING
DigitalOcean
Containers from $5/month. Add workers, databases, and other services to get the full cost.
App Platform pricing (opens in a new tab)Adios · Plus
App Platform has a free tier for up to three static-site apps. Paid containers start at $5/month for 512 MiB of shared CPU. Dev databases are $7/month, and Managed Databases start around $15/month. A container price is not the total price of an application with workers and a database.
Apps must fit within plan resources. The free workspace supports development and previews with your own AI provider key; production apps require a paid plan. Include external services in your estimate.
Plans and allowances ↗For a web app plus a background worker and a production database, write down all three components before comparing totals. A free static site, a $5 container, and an Adios production plan represent different amounts of infrastructure.
A CLOSER LOOK
App Platform manages application builds and deployments. Droplets and Kubernetes expose different infrastructure choices, while managed databases and object storage are separate products. Those options should not be treated as one identical hosting service.
Adios centers the product on a coding workspace, application runtime, and service templates. Its manifest specifies how a project builds and runs. That is a closer workflow comparison to managed application hosting than to administering a virtual machine.
Adios documentation ↗If you need VM-level control or an existing Kubernetes operating model, evaluate those DigitalOcean products directly. A comparison of App Platform features cannot settle that decision.
DigitalOcean offers remote MCP servers for App Platform, Droplets, Databases, Kubernetes, and other services. Claude Code, Cursor, VS Code, and Windsurf can connect, with OAuth or an API token. The App Platform tools can create an app from a Git repository, update settings, and check deployment status.
Adios also offers a hosted MCP server for Claude Code, Cursor, Codex, and ChatGPT. Production deploys from agents need user approval. Agents can also use the CLI or deploy from Git.
Adios documentation ↗Both can be driven by an AI client. DigitalOcean's server covers a wider set of cloud resources. Compare how each handles approvals and permissions for production changes. DigitalOcean's docs do not describe an approval step.
App Platform deploys source repositories or container images and supports several component types, including web services and workers. You bring the code and configure how those components build, run, and scale.
Adios includes a workspace for editing source, working with AI, running commands, and inspecting a preview before deployment. Teams can also keep a local development loop and use the CLI. The practical difference is where the implementation work happens.
Adios documentation ↗A team satisfied with its editor and delivery pipeline may primarily need hosting. A team seeking a shared place for coding, preview, and runtime investigation should evaluate the workspace experience as well.
App Platform's local filesystem is ephemeral, limited to 4 GiB, and does not support volumes. Writes can be lost when containers are replaced. Persistent records and uploads need Managed Databases or Spaces Object Storage.
Adios offers database and queue templates that can be connected to application services through the manifest. You still need to design where state lives, how it is backed up, and how a restore is verified; successful deployment is not a backup strategy.
Adios documentation ↗Inspect file writes before moving an app in either direction. Uploaded images, generated reports, caches, and database files have different durability needs and should not all be treated as temporary files.
Consider App Platform
Existing cloud services and operational practices may make App Platform a convenient deployment target. Include the value of those integrations when evaluating a move.
Consider Adios
If the need includes AI-assisted implementation, source review, previews, and release inspection in one product, evaluate Adios's workspace alongside its hosting capabilities.
Compare infrastructure products
OS-level customization or a particular orchestration setup changes the scope. Droplets start at $4/month. Compare Droplets or Kubernetes with your actual runtime requirements rather than extrapolating from App Platform.
Recommendations by Adios, based on the documentation linked above.
These steps apply to an App Platform application. A move from Droplets or Kubernetes needs an additional inventory of machine or cluster responsibilities.
Inventory source revisions or images, build and run commands, routes, ports, health checks, environment variables, worker components, and scaling assumptions.
Locate database records, object-storage buckets, uploaded files, and external APIs. Decide which DigitalOcean services remain connected and which data needs a tested export and restore.
Configure Adios manifests and secrets. Test routing, background work, uploads, database access, authentication callbacks, and health checks with representative traffic.
Coordinate the final data sync and worker activation so jobs are not processed twice. Update domains, inspect errors and latency, and retain the previous setup until the move is verified.
Suggested steps, not an automatic importer. Rehearse before changing production.
BEFORE YOU CHOOSE
No. The detailed hosting comparison focuses on App Platform. Droplets, Kubernetes, managed databases, and other DigitalOcean products have their own capabilities and operating responsibilities. The page calls out that wider portfolio where it affects the choice.
Yes. DigitalOcean provides remote MCP servers that Claude Code, Cursor, VS Code, and Windsurf can connect to. They cover App Platform, Droplets, Databases, and more. Adios also has a hosted MCP server. The two differ in scope and in how production changes are approved.
Its local filesystem is ephemeral and volumes are not supported. Store uploads and other durable application state in an appropriate external service, such as Spaces object storage or a database, instead of relying on container-local files.
Not by headline price alone. Compare the service and worker instances, database, storage, traffic, development tooling, and AI usage required for the same application. App Platform's smallest container is one compute component, not a bundled description of every dependency.
YOUR NEXT DEPLOY STARTS HERE
Connect your AI, say “deploy this,” and share the link. Upgrade for production from $10/month.