Zapier connects over 7,000 apps with a no-code visual builder and a free tier for simple app-to-app automation. Kestra is a workflow orchestration platform for engineering and data teams that need data pipelines, infrastructure automation, and business processes running at production scale, with version control and the option to self-host.
Declarative YAML orchestration platform for engineering and data teams. Define data pipelines, infrastructure automation, and business workflows in version-controlled YAML. Any event, any language, self-hosted or on Kestra Cloud, with no per-task billing ceiling.
Visual automation platform built for connecting apps without writing code. Triggers and actions map to events in over 7,000 integrated apps. Free tier, fast setup, and a massive app library make it the default starting point for non-technical automation.
Zapier is cloud-only SaaS, so there is no infrastructure to configure. The visual builder gets simple two-app Zaps running in minutes. The per-task billing model means cost scales with execution volume from day one.
curl -o docker-compose.yml \https://raw.githubusercontent.com/kestra-io/kestra/develop/docker-compose.ymldocker compose up
# Open localhost:8080# Pick a Blueprint, run it. Done.Download the Docker Compose file, spin it up, and you're ready (database and config included). Open the UI, pick a Blueprint, run it. No cloud account required, no per-task billing, no execution limits.
Sign up at zapier.com, choose a trigger app and action app, connect via OAuth, and map the fields. Free tier gives 100 tasks/month with 2-step Zaps. Multi-step Zaps require a paid plan.
YAML is readable on day 1. Our docs are embedded in the UI for easy reference, the AI Copilot writes workflows for you, or start with our library of Blueprints. Workflows live in Git and deploy through your existing CI/CD pipeline.
Zapier Zaps are built by selecting a trigger app, an action app, and mapping fields between them in the browser. No code required for standard connections. Multi-step Zaps with paths, filters, and delays require a paid plan. Zap logic lives in Zapier's cloud with no local files.
Orchestrate data pipelines, infrastructure provisioning, business processes, and event-driven automations in one platform. No execution ceiling, no per-task billing. Self-host with full control or use Kestra Cloud.
Connect SaaS apps and automate repetitive tasks without writing code. Fast setup, massive app library, and a free tier make it the default starting point for simple automation. Not designed for data pipelines, infrastructure automation, or workflows that need version control.
| | ||
|---|---|---|
| Primary use case | Universal workflow orchestration | No-code app-to-app automation |
| Workflow definition | Declarative YAML (version-controlled) | Visual Zap builder (cloud-stored, no files) |
| Deployment model | Self-hosted or Kestra Cloud | Cloud-only (no self-hosting) |
| Languages supported | Agnostic (Python, R, Bash, Node.js, SQL & more) | No-code (Formatter and Code by Zapier for basic logic) |
| Data pipeline support | Native support (ETL, dbt, Spark, Airbyte) | Not designed for data pipelines or compute-heavy workloads |
| Infrastructure automation | Native support | Not designed for this |
| Self-service for non-engineers | Kestra Apps | ✓ Visual builder requires no engineering |
| Multi-step workflows with logic | Native (conditionals, parallel branches, loops) | Paths and filters available on Professional plan only |
| GitOps and version control | Native Git sync, Terraform provider | No version control (Zap history only) |
| Pricing model | Infrastructure cost (no per-task billing) | Per-task billing; free tier caps at 100 tasks/month |
| Open source | Open source (Apache 2.0) | Closed source SaaS |
Kestra made the data mesh possible. We produce far more data now, and deliver it nearly 10 times faster.
Kestra runs on your infrastructure with no per-task billing. A workflow that runs 10,000 times a day costs the same to execute as one that runs once, because the cost model is tied to infrastructure, not execution count. Teams migrating from usage-based platforms often find that their automation cost drops substantially once execution volume stops driving the bill.
Native plugins for dbt, Airbyte, Spark, Snowflake, BigQuery, Databricks, and 1,200+ more let data engineers define ETL pipelines in the same YAML they use for event-driven workflows and infrastructure automation. DAG visualization, per-task retry semantics, and built-in observability make data workloads first-class, not an afterthought handled through a generic HTTP call.
Every Kestra flow is a YAML file that lives in your repository, deploys through CI/CD, and rolls back like any other code change. Reviewing what a workflow does, comparing versions, and auditing what ran on a specific date are standard git operations. Automation lives in the same source of truth as the rest of your infrastructure.
Find answers to your questions right here, and don't hesitate to Contact Us if you couldn't find what you're looking for.
See how Kestra can simplify your workflows—and scale beyond per-task billing.