Tray.ai is an enterprise automation platform for connecting SaaS applications and deploying AI agents at scale, with purpose-built tooling for governed AI agent creation. Kestra is a workflow orchestration platform for engineering and data teams that need data pipelines, infrastructure automation, and production workflows running with full 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 GitOps and full audit trails.
Enterprise-grade automation platform built for connecting SaaS applications and deploying AI agents at scale. Visual workflow builder, 700+ pre-built connectors, MCP governance, and built-in compliance controls make it a consolidation platform for enterprise integration and intelligent automation.
Tray.ai is an enterprise SaaS platform accessed via demo request or trial. There is no infrastructure to provision, but onboarding involves account setup, connector authentication, and learning the visual builder. Kestra runs in two commands and is ready in under five minutes.
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 sales process required, no cloud account, no connector licensing.
Request a demo or trial at tray.ai, complete account setup, authenticate your enterprise app connectors via OAuth, and build your first workflow in the visual editor. Enterprise deployments involve procurement, security review, and connector licensing.
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.
Tray.ai workflows are built in a visual editor by connecting pre-built connector steps and configuring data mappings. The Merlin Agent Builder extends this to conversational and autonomous AI agents. All configuration lives in Tray.ai's cloud with no local files or version control.
Orchestrate data pipelines, infrastructure provisioning, business processes, and event-driven automations in one platform. Self-host with full control or use Kestra Cloud. Workflows live in Git and deploy like any other code.
Connect enterprise SaaS apps, deploy AI agents, and manage MCP governance in a unified cloud platform. Strong for enterprise integration consolidation and governed AI agent deployment. Not designed for data pipeline execution, infrastructure automation, or self-hosted deployments.
| | | |
|---|---|---|
| Primary use case | Universal workflow orchestration | Enterprise iPaaS and AI agent platform |
| Workflow definition | Declarative YAML (version-controlled) | Visual workflow builder (cloud-stored, no local 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 visual builder; custom logic via connector configuration |
| Data pipeline support | Native support (ETL, dbt, Spark, Airbyte) | Data connectors available but not built for compute-heavy pipelines |
| Infrastructure automation | Native support | Not designed for this |
| AI agent support | Kestra orchestrates AI workflows and LLM calls via plugins | ✓ Merlin Agent Builder with MCP governance |
| Self-service for non-engineers | Kestra Apps | ✓ Visual builder for business and IT teams |
| GitOps and version control | Native Git sync, Terraform provider | No native version control |
| Multi-tenancy and RBAC | Enterprise namespace isolation | ✓ Enterprise RBAC and compliance controls |
| Open source | Open source (Apache 2.0) | Closed source SaaS |
With Kestra, orchestration stopped being a fragile point in the architecture and became a stable foundation for the business.
1,200+ native plugins cover dbt, Airbyte, Spark, Snowflake, BigQuery, Databricks, and every major data warehouse, cloud provider, and message queue. Data engineers define ETL pipelines in the same declarative YAML they use for event-driven and business workflows, with DAG visualization and retry semantics for data-specific failures as standard. One platform, one operational model, for both data and business automation.
Kestra deploys on Docker or Kubernetes on any infrastructure, including air-gapped environments and on-premises clusters. Workflow definitions, execution logs, and secrets stay on your infrastructure. For teams in regulated industries where data residency is a hard requirement, self-hosted Kestra keeps every piece of execution inside the perimeter you control.
Every Kestra flow is a YAML file reviewed in a pull request, versioned in Git, and deployed through the same CI/CD pipeline as your application code. When an automation breaks, git blame and commit history tell you exactly what changed and when. Automation gets the same review, audit, and rollback process as any other production system.
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 enterprise iPaaS.