Estuary Flow vs Kestra
On the evidence we track, Estuary Flow leads this comparison with a composite score of 80/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for data engineering tools. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Estuary Flow
LeaderEstuary is a fully managed data integration platform that consolidates the capture, movement, and transformation of data across databases, cloud storage, and applications. It supports continuous streaming, scheduled batch operations, and optional transformations using SQL, TypeScript, or dbt.
Kestra
A language-agnostic platform that lets teams define and run business-critical workflows declaratively as code, with built-in scheduling, event-driven triggers, retries, failure handling, and full observability across cloud, on-premise, and air-gapped deployments.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Estuary Flow
LeaderFree tier with 10 GB/month limit. Cloud plan: $0.50/GB data moved plus connector instance fees.
- FreeFree
- 2 connector instances
- 10 GB/month data limit
- Data stored in Estuary cloud storage
- Cloud$0.50/GB data moved + $100/month per connector (first 6), $50/month each additional
- Unlimited connector instances
- Usage-based data pricing
- Data stored in customer cloud account
- Real-time CDC from databases
- Batch and streaming data movement
- +3 more
Kestra
- Open SourceFree
- Kestra CloudManaged cloud with enterprise support
- Fully Managed Platform (Hosting, Upgrades, Monitoring)
- Built-in Security and Governance Features
- Customer Success Program & Enterprise Support with SLA
- Audit Logs
- Kestra EnterpriseContact sales
- Run anywhere Cloud, On-Prem, Air-Gapped
- RBAC, audit logs, secrets management, asset lineage
- AI Copilot (Any LLM Cloud or Self-Hosted)
- Human-in-the-Loop Approvals
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- MySQL
- PostgreSQL
- Salesforce
- Apache Kafka
- Google BigQuery
- Elasticsearch
- OpenAI
- Facebook Ads
- Airbyte
Estuary Flow
Leader- Oracle
- Amazon S3
- Google Cloud Storage
- Azure Blob Storage
- NetSuite
- HubSpot
- Google Pub/Sub
- Amazon Kinesis
- Snowflake
- Amazon Redshift
- MongoDB
- Amazon DynamoDB
- Pinecone
- Databricks
- LinkedIn Ads
- Google Ads
- SingleStore
- Motherduck
- Apache Iceberg
- BigQuery
Kestra
- Ansible
- dbt
- Spark
- Dremio
- Arrow Flight SQL
- Git
- GitHub
- GitHub Actions
- Kubernetes
- Docker
- Terraform
- Slack
- S3
- Azure Data Lake Storage
- Postgres
- JDBC databases
- HTTP APIs
- Polars
- Python
- Bash
- Node.js
- Go
- Apache Spark
- PagerDuty
- +25 more
Estuary Flow or Kestra: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.