Apache Airflow vs Talend
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.
Talend
A flexible data platform supporting cloud, on-premises, and hybrid deployment that integrates data from hundreds of sources, transforms it through multiple methods, and ensures quality and governance across your data infrastructure.
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.
Talend
Pricing not documented yet.
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.
- Databricks
- Snowflake
Apache Airflow
Leader- Amazon Web Services
- Microsoft Azure
- Google Cloud Platform
- dbt Cloud
- Slack
- Salesforce
- Tableau
- PostgreSQL
- MySQL
- MongoDB
- Redis
- Kubernetes
- Docker
- Apache Spark
- Apache Kafka
- Apache Cassandra
- Apache Flink
- Apache Druid
- Elasticsearch
- Datadog
- Jenkins
- GitHub
- OpenAI
- Anthropic
- +24 more
Talend
- AWS
- Microsoft
- SAP
- Cloudera
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.