# Data pipeline tools

A data movement tool, such as an ETL (Extract, Transform, Load) tool, is used to facilitate the extraction, transformation, and loading of data from various sources into a target system or data warehouse. It enables organizations to consolidate and integrate data from different sources, ensuring its cleanliness, compatibility, and accessibility for analysis and reporting purposes. On the other hand, a reverse ETL tool focuses on delivering processed data from the analytics environment back to operational systems or applications, allowing for real-time synchronization and action based on insights gained from the data. Both tools play crucial roles in data integration, transformation, and utilization for improved decision-making and operational efficiency.

Secoda currently integrates with the following Data Movement tools:

{% content-ref url="data-pipeline-tools/census" %}
[census](https://docs.secoda.co/integrations/data-pipeline-tools/census)
{% endcontent-ref %}

{% content-ref url="data-pipeline-tools/stitch" %}
[stitch](https://docs.secoda.co/integrations/data-pipeline-tools/stitch)
{% endcontent-ref %}

{% content-ref url="data-pipeline-tools/airflow" %}
[airflow](https://docs.secoda.co/integrations/data-pipeline-tools/airflow)
{% endcontent-ref %}

{% content-ref url="data-pipeline-tools/dagster" %}
[dagster](https://docs.secoda.co/integrations/data-pipeline-tools/dagster)
{% endcontent-ref %}

{% content-ref url="data-pipeline-tools/fivetran-integration" %}
[fivetran-integration](https://docs.secoda.co/integrations/data-pipeline-tools/fivetran-integration)
{% endcontent-ref %}

{% content-ref url="data-pipeline-tools/aws-glue-integration" %}
[aws-glue-integration](https://docs.secoda.co/integrations/data-pipeline-tools/aws-glue-integration)
{% endcontent-ref %}

{% content-ref url="data-pipeline-tools/hightouch" %}
[hightouch](https://docs.secoda.co/integrations/data-pipeline-tools/hightouch)
{% endcontent-ref %}

{% content-ref url="data-pipeline-tools/apache-kafka" %}
[apache-kafka](https://docs.secoda.co/integrations/data-pipeline-tools/apache-kafka)
{% endcontent-ref %}

{% content-ref url="data-pipeline-tools/confluent-cloud" %}
[confluent-cloud](https://docs.secoda.co/integrations/data-pipeline-tools/confluent-cloud)
{% endcontent-ref %}

{% content-ref url="data-pipeline-tools/polytomic" %}
[polytomic](https://docs.secoda.co/integrations/data-pipeline-tools/polytomic)
{% endcontent-ref %}

{% content-ref url="data-pipeline-tools/matillion" %}
[matillion](https://docs.secoda.co/integrations/data-pipeline-tools/matillion)
{% endcontent-ref %}

{% content-ref url="data-pipeline-tools/airbyte" %}
[airbyte](https://docs.secoda.co/integrations/data-pipeline-tools/airbyte)
{% endcontent-ref %}

{% content-ref url="data-pipeline-tools/informatica" %}
[informatica](https://docs.secoda.co/integrations/data-pipeline-tools/informatica)
{% endcontent-ref %}

{% content-ref url="data-pipeline-tools/azure-data-factory" %}
[azure-data-factory](https://docs.secoda.co/integrations/data-pipeline-tools/azure-data-factory)
{% endcontent-ref %}

{% hint style="info" %}
Don't see an integration for a tool you use? Message us on Slack or email us at <support@secoda.co> and we'll add it to the roadmap.
{% endhint %}


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.secoda.co/integrations/data-pipeline-tools.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
