Astronomer vs Kestra (2026): which should you pick?
As of Nov 13, 2026, Kestra grades higher than Astronomer: 2.4 against 1.8 out of 4.0.
Checked Nov 12, 2026 and Nov 13, 2026 · graded Nov 12, 2026 and Nov 13, 2026 by ToolGPA
Kestra grades higher on value for money, the free plan and features. They get the same grade on ease of use and platforms.
Price, platforms and features side by side. The table says where each price was read and when.
Astronomer
Managed Apache Airflow platform (Astro) with usage-based pricing
Which one is for you
Pick Astronomer if
- Fits if you already write Airflow DAGs and don't want to run the servers
- Works for teams that want a trial with no card before committing
Look elsewhere if
- Pricey if you leave a deployment running all month, at $0.35 an hour before workers
- Skip it if you want a fixed monthly price, because workers, clusters and add-ons bill separately
- Tight if you're staying free, as there's only a 14-day trial
- Watch out: Business and above show a quote only, and cloud networking costs are passed through
Pick Kestra if
- Fits if you are an engineer who wants to own the orchestrator
- Works for data teams already using dbt, Spark or Kafka
Look elsewhere if
- Skip it if you do not write YAML or run servers
- Tight if you need SSO, roles, audit logs or multi-tenancy, as those are Enterprise
- Watch out: no Cloud or Enterprise price is published
- Watch out: you run and upgrade the platform yourself
How we grade them
| 1.8GPAAstronomerWeak | 2.4GPAKestraFair | |
|---|---|---|
| Value for money | D$0.35 an hour for a Developer deployment is about $255 a month if it runs all month, before worker hours. The category's dearest tenth starts at $165. | CThe open-source edition is $0 but needs your own servers, which is a C. Cloud and Enterprise prices are not published. |
| Free plan and trial | C14-day trial with no card. There's no free plan after that. | BFree to self-host under Apache 2.0, with unlimited flows and executions. You pay for the server. |
| Features | CHosted Airflow with deployments, observability and enterprise tiers. Business and above are quote only, and Astro Private Cloud has no published price. | BDeclarative workflows, code and no-code editors, event-driven scheduling and over 2,600 plugins. Nothing in the listing shows a gap in the core work. |
| Ease of use | DNo store rating on record. You still write Airflow pipelines in Python and set up deployments. | DFlows are YAML, and self-hosting means running and upgrading it yourself. |
| Platforms and integrations | BWeb console on AWS, Azure and Google Cloud, with Snowflake in the mix. No desktop or phone apps. | BWeb interface with plugins for PostgreSQL, MySQL, Kafka, Terraform, dbt, Spark and Redis. No desktop or phone app. |
| Best for | managed Airflow without running the servers | workflows defined in YAML |
The GPA is the average of the five grades: an A is 4 points, an F is none. The full reasons are on each tool's page: Astronomer and Kestra. How we grade
Where they differ
- Kestra is open source and self-hostable, according to its own site.
- Astronomer also covers AI agents and dashboards.
At a glance
| Astronomer | Kestra | |
|---|---|---|
| Pricing | Free trial | Free plan |
| Starts at | $0.35 per hour for a Developer deployment, plus worker hours billed separately | Not published |
| Free plan | None | The open-source edition is free to self-host, with unlimited flows and executions. |
| Free trial | 14-day free trial, no credit card required | None listed |
| Web | ||
| Made by | Astronomer | Kestra |
| Price read from | astronomer.io | kestra.io |
| Checked | Nov 13, 2026 | Nov 12, 2026 |
Worth knowing
Astronomer
- Deployments, workers, dedicated clusters, Observe and Otto are each billed separately, so the monthly total depends on usage.
- Prices shown are the monthly-billing view; Business and above show only a quote on the annual view.
- Networking costs are passed through from the cloud provider.
- Astro Private Cloud has no published price.
Kestra
- No Cloud or Enterprise price is published; Cloud is by access request and Enterprise by contact with sales.
- SSO, role-based access, audit logs and multi-tenancy are Enterprise Edition features.
- Workflows are defined in YAML, so it assumes engineering skills.
- Self-hosting means running and upgrading the platform yourself.
Key features
Astronomer
- Managed Airflow deployments
- Each deployment includes the scheduler, webserver and triggerer, sized to the Dag volume and billed at a fixed hourly rate by size.
- Workers that scale to zero
- Workers run individual Airflow tasks in seven sizes (A5 to A160) from $0.13 an hour and scale down when idle.
- Astro Observe
- Cost and performance metrics, root-cause analysis and lineage for Airflow pipelines, priced as a percentage of compute costs.
- Otto data engineering agent
- An agent for Airflow and Astro work, charged with an intelligence fee from $1.25 per million tokens plus model provider costs.
- Dedicated clusters and networking
- Standard multi-tenant clusters are included at no cost; dedicated single-tenant clusters start at $2.40 an hour.
- Private Cloud option
- Astro Private Cloud runs Airflow in your own environment, with multi-cluster management and air-gapped deployment support.
Kestra
- Declarative workflows
- Workflows, triggers and dependencies are written as YAML, versioned in Git and deployed through CI/CD.
- Code and no-code editors
- Flows can be written in code or built in a visual editor.
- Event-driven scheduling
- Flows run on schedules, on events or through the API, with retries, backfills and failure handling.
- 2,600+ plugins
- Plugins and scripts orchestrate SQL, Python, shell, APIs, Terraform, dbt and Spark in one workflow.
- AI features
- An MCP server for AI agents is in open source; an agentic AI copilot on any LLM is an Enterprise feature.
- Enterprise governance
- Enterprise adds SSO, LDAP and SCIM, role-based access, audit logs, multi-tenancy and secrets management.
Plans
Astronomer
Developer$0.35
per hour per deployment, billed monthly
For building and testing pipelines: scale-to-zero compute, hibernating deployments, API access and rollbacks.
Team$0.42
per hour per deployment, billed monthly
Adds observability and data quality, dedicated clusters, high availability, 7-day audit logs and 24x5 support.
BusinessCustom
Annual quote. Adds SSO enforcement, CI/CD enforcement, 90-day audit logs and 24x7 support with a 1-hour SLA.
EnterpriseCustom
Annual quote. Adds remote execution agents, custom RBAC, SCIM, IP access lists and organization dashboards.
Enterprise Business CriticalCustom
Annual quote. Adds cross-region disaster recovery and 24x7 support with a 30-minute SLA.
Kestra
Open Source$0
Self-hosted under Apache 2.0. Unlimited flows and executions, queue on PostgreSQL or MySQL.
CloudCustom
Managed by Kestra with scaling and enterprise plugins; priced by usage, access by request.
Enterprise EditionCustom
Annual subscription per instance, with SSO, RBAC, audit logs, worker groups and SLA support.
Common questions
Which is cheaper, Astronomer or Kestra?
As of Nov 13, 2026, Astronomer starts at $0.35 per hour for a Developer deployment, plus worker hours billed separately, and Kestra publishes no starting price.
Which has a free plan, Astronomer or Kestra?
As of Nov 13, 2026, only Kestra has a free plan. Astronomer does not, though it has a free trial.
More comparisons
How this page was made
- The verdict at the top follows a fixed rule. When both tools are in the same category and either is in our top three for it, the verdict follows that ranking: the higher-placed tool is our pick. The top three weigh who each tool suits as well as its grades, so a pick can go against the GPA. Otherwise the page does not pick one and says which grades higher: the higher GPA first; on a tie, the one with a free plan, then the one that starts cheaper in dollars a month, counted the same way for both; if they are still level, what the choice depends on.
- The grades are our own, from each tool’s review or report card. The GPA is their average.
- Prices, plans and platforms come from each tool’s listing. The table above says where each price was read and when.
- The differences and the answers to the questions are worked out from those listings.
