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About DADA Cloud

What it's for

DADA Cloud is a cloud platform for applications and AI agents. Connect a GitHub repository, upload an archive or point to a container image, and the platform builds and runs it with a domain, HTTPS, logs and one-click rollback. This page lists the verifiable facts about the product, its limits and who it fits.

Facts at a glance

TopicFact
ProductDADA Cloud, a platform-as-a-service for backends, bots, sites and AI agents
OperatorDADA Development (ООО «Дада Девелопмент», Saint Petersburg); legal details on the company page
LanguagesRussian and English interface and documentation
Deploy sourcesGitHub repository (a push to the linked branch builds and deploys), container image, archive upload up to 100 MiB, CI call to a deploy endpoint
RollbackRe-deploys an earlier image without a rebuild
DatabasesManaged PostgreSQL 17.5 on shared instances with DATABASE_URL written into the app; managed Redis; scheduled pg_dump backups kept 14 days; backup, restore and download in the console
DomainsYour own domain with a certificate issued and renewed automatically; managed DNS by delegation
MonitoringLogs, metrics, build logs and alert channels
ScalingVertical: the platform raises an app's size up to 8 vCPU and 16 GiB and lowers it again; no horizontal autoscaler
Own serversConnect your own VM over SSH, adopt running Docker containers, or order a VM
AIMCP server with 63 tools for Claude Code, Claude Desktop and other clients; an OpenAI-compatible AI gateway with bring-your-own provider keys; hosted agents; Box sandboxes
BillingPay-as-you-go in rubles from a prepaid balance, one debit per day for actual use; landing page or bot from 22 rubles a month, service from 77
Open kitClaude Code plugin and MCP kit on GitHub (DadaDevelopment/dada-cloud), command-line tool ddc (DadaDevelopment/ddc)

Who it fits

  • A solo developer or a small team that wants a backend, a bot or a site running without running servers.
  • An agency that keeps each client in its own project.
  • A team that drives its infrastructure from an AI coding agent through MCP.

What it does not do

  • Managed MySQL, MongoDB and ClickHouse; point-in-time recovery; choosing the PostgreSQL version or instance size.
  • Horizontal autoscaling, scheduled jobs as a resource, per-pull-request preview environments.
  • A published uptime percentage. Check the terms before you rely on a figure.
  • A published protection-level attestation. Before you move personal data, ask for written confirmation of where it will be placed and under which protection level.

Where to start

  • Product overview and pricing: the home page and the pricing page.
  • Deploy an app: the guide "Deploy an app from GitHub".
  • Databases: the guide "Managed Postgres databases".
  • Drive it from an AI agent: the guide "Manage the platform from an AI agent (MCP)".
  • Comparisons and selection guides: the Guides section of the site.

FAQ

What is DADA Cloud?

A platform that builds and runs applications from a Git repository, an image or an archive, with a domain, HTTPS, logs, a managed PostgreSQL database and rollback. It also exposes an MCP server so an AI agent can manage it.

Who operates DADA Cloud?

DADA Development, the company behind the platform. Its legal details are on the company page of the site.

How is it billed?

From a prepaid balance in rubles. The platform debits the balance once a day for what the apps actually used. A landing page or a bot starts at 22 rubles a month and a service at 77. AI model calls are paid separately by usage.

Can I use my own server?

Yes. Connect a VM over SSH and the platform installs its agent, or adopt Docker containers that already run there. Ordering a VM from the platform is also possible with a fixed size.

Does it work with AI coding agents?

Yes. The MCP server exposes 63 tools to clients such as Claude Code and Claude Desktop. An agent acts with the rights of the person who signed in. It cannot delete apps, databases or projects; those actions stay in the console.

Which databases are supported?

Managed PostgreSQL and managed Redis. Other engines can run as containers on your own server.