Apache Airflow vs Hevo Data
On the evidence we track, Apache Airflow leads this comparison with a composite score of 73/100. 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.
Apache Airflow
LeaderA community-built orchestration system that enables users to define data pipelines and tasks in Python, execute them on distributed workers, and monitor progress through a web-based interface. It supports dynamic pipeline generation, extensive third-party integrations, and operates best for batch-oriented workflows.
Hevo Data
Hevo is an end-to-end ELT platform that automates data movement from 150+ sources into warehouses with built-in dbt-based transformations and real-time operational visibility. It handles schema changes automatically, recovers from failures without manual intervention, and scales to process petabytes of data monthly.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Apache Airflow
LeaderFree, open-source project. Managed cloud versions available through third parties.
Hevo Data
From $0 (Free). Starter $265–$299/month. Professional $750–$849/month. Custom plans available.
- FreeFree
- 1-hour scheduling
- Up to 5 users
- Starter$299/month (monthly) or $265/month (annual, 12% off)
- Everything in Free, plus
- Up to 10 users
- 150+ connectors
- dbt integration
- SSH/SSL
- +1 more
- Professional$849/month (monthly) or $750/month (annual, 12% off)
- Everything in Starter, plus
- Unlimited users
- Hevo APIs for Pipeline automation
- Reverse SSH
- Add-ons available
- Business CriticalContact sales
- Everything in Professional, plus
- Streaming Pipelines
- Role Based Access Control
- Single sign-on
- Multiple Workspaces
- +2 more
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.
- Snowflake
- Salesforce
- PostgreSQL
- MySQL
- MongoDB
- Oracle
- Zendesk
Apache Airflow
Leader- Amazon Web Services
- Microsoft Azure
- Google Cloud Platform
- Databricks
- dbt Cloud
- Slack
- Tableau
- Redis
- Kubernetes
- Docker
- Apache Spark
- Apache Kafka
- Apache Cassandra
- Apache Flink
- Apache Druid
- Elasticsearch
- Datadog
- Jenkins
- GitHub
- OpenAI
- Anthropic
- Cohere
- Pinecone
- Weaviate
- +19 more
Hevo Data
- SQL Server
- Redshift
- BigQuery
- MariaDB
- HubSpot
- Shopify
- Google Ads
- Facebook Ads
- Amazon S3
- Google Cloud Storage
- Azure Blob
- SFTP
- Google Cloud
- dbt Core
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.