Perimattic
ManageStacks · Workflow Automation

Managed Dagster Hosting — production-ready from $15 a month

Cloud-native data pipeline orchestrator. Deployed on your own dedicated instance in AWS, Azure, or GCP, kept patched, backed up, and monitored by ManageStacks — standard Dagster, no lock-in.

Dagster is a cloud-native data pipeline orchestrator with software-defined assets and built-in data quality checks — deployed and fully managed by ManageStacks on AWS, Azure, or GCP with automated SSL, monitoring, and daily backups.

Daily backups includedAWS · Azure · GCPData export any time24×7 SRE available
Dagster logo
Dagster
Cloud-native data pipeline orchestrator
The application

What does Dagster do, and why do teams deploy it?

Dagster is a data orchestration platform built around the concept of software-defined assets. Instead of thinking in terms of tasks and dependencies, you declare the data assets you want to exist and Dagster figures out how to build and maintain them. This asset-centric approach provides built-in data lineage, automated materialization, and integrated data quality checks.

Dagster is ideal for data and analytics engineering teams managing complex data pipelines across multiple sources and destinations. Its type system catches configuration errors before runtime, its partitioning system handles backfills elegantly, and its Dagit web UI provides full observability into asset health, run history, and pipeline structure.

  • Software-defined assets with automatic lineage tracking
  • Dagit web UI for pipeline visualization and monitoring
  • Built-in data quality checks and freshness policies
  • Partition-aware scheduling and backfill management
  • Type-checked configuration and resource system
  • Integrations with dbt, Spark, Snowflake, and more
Interconnected workflow automation nodes on a dark dashboard
Workflow Automation

Cloud-native data pipeline orchestrator

Pricing

What does managed Dagster hosting cost?

Flat per-app pricing, in your chosen AWS, Azure, or GCP region. No per-user pricing — a busy deployment costs the same as a quiet one.

Starter

$15/app/mo

Staging and internal tools. Dedicated instance, TLS, daily backups, managed upgrades.

Standard

$29/app/mo

Production workloads. Adds monitoring, staging environment, region choice, priority support.

Business

$49/app/mo

High-traffic and compliance workloads. Adds a high-availability replica and same-day support.

24×7 SRE retainer

$499/mo

Round-the-clock on-call across every hosted application, for teams that need a pager answered at 3am.

Build vs buy

Self-hosting Dagster vs managed — what does it really cost?

The software is free. The engineer-hours are not.

Running it yourself

  • Wrestling with Dagster daemon processes, gRPC code servers, and PostgreSQL event log configuration across multiple services that must stay in sync
  • Building custom Kubernetes Helm charts or Docker Compose files to orchestrate the webserver, daemon, and user code deployments as a cohesive system
  • Losing pipeline run history and asset materializations when storage volumes fill up because nobody set up log rotation or event log pruning
  • Spending days debugging IO manager configurations and resource definitions that work locally but fail in production due to environment mismatches
  • Managing scheduler and sensor processes that silently stop evaluating when the daemon crashes, leaving data pipelines stale without any alert

On ManageStacks

  • ManageStacks deploys the Dagster webserver, daemon, and code server as coordinated services with shared PostgreSQL backend — all pre-configured and health-checked
  • Infrastructure-as-code provisioning handles networking, storage volumes, and service discovery so your team focuses on writing assets and ops, not YAML
  • Automated storage management with log rotation, event pruning policies, and daily database backups prevents runaway disk usage and data loss
  • Environment parity is enforced — the same container images, environment variables, and resource definitions run in staging and production with a single config switch
  • Health monitoring restarts crashed daemons within seconds and alerts your team if schedulers or sensors stop evaluating, preventing silent pipeline failures
Comparison

Dagster on ManageStacks vs the alternatives

Compare running Dagster on ManageStacks against Dagster Cloud, other orchestration platforms, and managing your own Dagster deployment.

Comparison of Dagster on ManageStacks against publicly-documented alternatives.
 ManageStacks + DagsterUsDagster CloudPrefect CloudDIY self-hosted Dagster
Pricing$29/mo flat + computeFrom $100/mo + per-credit usageFree tier + $115+/mo for teamsCloud compute costs only
Infrastructure ownershipYour own cloud accountDagster-managed or HybridPrefect-managed control planeYour own infrastructure
Setup timeUnder 15 minutesInstant (SaaS)Instant (SaaS)4–8 hours
Auto-scalingPre-configured scaling rulesBuilt-inWork pools with auto-scalingManual configuration
Asset-based orchestrationFull Dagster asset frameworkFull Dagster asset frameworkTask-based (no asset model)Full Dagster asset framework
MaintenanceManaged (backups, updates, monitoring)Vendor-managedVendor-managed control planeAll on your team
Tangled server cabling representing the manual wiring self-hosting requires
Running it yourself

Provisioning, upgrades, backups and monitoring on your team’s plate.

The alternative

What does running Dagster yourself involve?

ManageStacks deploys Dagster with its Dagit web UI, daemon process, and PostgreSQL backend on dedicated infrastructure with automated SSL, Grafana-based monitoring, daily backups, and one-click updates. Skip the Kubernetes configuration and start orchestrating data assets in minutes.

Dagster key numbers

3
Core services (webserver, daemon, code server) deployed and orchestrated automatically
$29/mo
Flat infrastructure management cost vs. Dagster Cloud's usage-based pricing
99.9%
Daemon uptime with automatic crash recovery and health-check supervision
<15 min
Full Dagster stack deployment including PostgreSQL and networking
Onboarding

How long from subscribing to a live instance?

1

Connect your cloud account

Provide ManageStacks with a scoped IAM role for your AWS, Azure, or GCP account. Resources deploy into a private VPC with the Dagster webserver, daemon, and PostgreSQL instance networked automatically.

2

Upload or link your Dagster user code

Point ManageStacks to your Git repository containing Dagster definitions. The platform builds a container image from your code and deploys it as a gRPC code server that the Dagster webserver and daemon communicate with natively.

3

Configure IO managers and external resources

Define connections to your data warehouse (Snowflake, BigQuery, Redshift), object stores (S3, GCS, Azure Blob), and any other resources your assets materialize to. Secrets are stored encrypted and injected at runtime.

4

Launch and schedule your pipelines

Open Dagit, verify your asset graph loads correctly, and enable schedules and sensors. ManageStacks handles compute scaling, daemon supervision, and database maintenance so you ship data products instead of infrastructure tickets.

The honest answer

When is self-hosting Dagster the right answer instead?

“Managed hosting is not always the correct call.”

Self-host when a platform team already runs the infrastructure and on-call rotation to operate Dagster at genuinely low marginal cost. Self-host when compliance requires an air-gapped or on-premises deployment that no hosted option can satisfy. And self-host when the deployment depends on heavy customisation with a fast internal build-deploy loop, because an internal release process will beat any managed change process.

For everyone else — teams whose engineers have better things to do than shepherd upgrades — managed hosting is cheaper than the hours it replaces.

Infrastructure

Which cloud should Dagster run on — AWS, Azure or GCP?

For most workloads, the choice of cloud matters less than proximity: run Dagster in the same cloud and region as the applications and data it talks to, because every request between them adds a round trip. The underlying compute performs equivalently across AWS, Azure, and GCP.

In practice, an existing cloud footprint decides it. All plans support all three clouds, and moving regions later is a scheduled migration, not a rebuild.

AWS logo
AWS

Deepest managed-service catalog, default when there's no existing footprint

Azure logo
Azure

Best fit for teams already on Microsoft 365 or Entra ID

GCP logo
GCP

Strongest for data/analytics-adjacent workloads

Earth at night showing global network connectivity across regions
Multi-cloud

Every plan supports AWS, Azure, and GCP — region choice included.

FAQ

Common questions about Dagster on ManageStacks

How long does it take to deploy Dagster on ManageStacks?

Under 5 minutes. ManageStacks provisions Dagster with its Dagit UI, daemon, PostgreSQL backend, SSL, monitoring, and backups automatically — no Kubernetes or Docker setup required.

Can I migrate my existing Dagster project to ManageStacks?

Yes. Point your existing Dagster repository at your ManageStacks-managed instance. All job definitions, schedules, and sensors transfer by redeploying your code location.

Does ManageStacks handle Dagster version upgrades?

Yes. We test each new Dagster release for compatibility before making it available. You can apply updates with one click or enable automatic updates, and we handle any required database migrations.

Run Dagster without carrying the pager

Subscribe through your AWS, Azure, or GCP marketplace. We handle provisioning, SSL, monitoring, backups, updates, and security. From $15/mo.