Kestra
Declarative orchestration for data, infrastructure, and business workflows
Move, transform, and synchronize data between systems.
Declarative orchestration for data, infrastructure, and business workflows
Python-defined workflows with scheduling, dependencies, and execution monitoring
Build reliable data pipelines with asset-based orchestration
Build local data pipelines with TypeScript, SQL, and DuckDB
Connect AI agents to paid tools through one workspace
Connect cloud storage with managed file transfers and automated workflows.
Bring Pipedrive records into Google Sheets and push reviewed spreadsheet edits back to the CRM.
Bring data engineering, analysis, and AI agents into a shared workspace
Keep Stripe billing records synchronized with Google Sheets
Synchronize database changes, SaaS data, and streams through one pipeline
Manage data pipelines as code with reusable open-source connectors
Build Python data pipelines and run them on managed dltHub infrastructure
Build and manage warehouse pipelines through visual tools and the Maia platform
Move data into a warehouse and manage ingestion with built-in transformations
Centralize data with managed integration pipelines
Move data between sources and analytical systems