Integrate Kestra in the Modern Data Stack

Orchestrate Your Data and Analytics Stack by Integrating Kestra with Leading Data Tools

What is the Modern Data Stack?

The modern data stack combines powerful automation and integration capabilities. Organizations can establish scalable, reliable, and streamlined data workflows by leveraging robust automation capabilities and seamless integrations with tools like dbt, Snowflake, Airbyte, and others. This ecosystem empowers data-driven decision-making and facilitates the generation of actionable insights.

Leverage Modern Data Stack

Discover how Kestra's automation capabilities and extensive integrations with popular data tools from the modern data stack empower organizations to manage data pipelines with confidence.

Diagram illustrating Kestra's integration with Airbyte for extract and load.

Data Ingestion and Extraction with Airbyte

Kestra and Airbyte can be combined for powerful data workflows. Thanks to Kestra's automation capabilities merged with Airbyte's data connectors, users can create automated ETL processes, streamline data ingestion, and reduce manual intervention. This tight integration ensures efficient, fully automated data workflows.

Data Transformation with dbt

Once the data is extracted, it can be transformed using dbt (Data Build Tool), an open-source data transformation tool. Kestra can initiate dbt transformations by triggering dbt commands, and automating the process of cleaning, modeling, and validating the data.

Picture of dbt task in Kestra to transform the data

Data Loading and Storage with Snowflake

Kestra can integrate with Snowflake, a cloud-based data storage and analytics platform, to load the transformed data into the company's data storage system. Automated tasks can be created to manage the data loading process, reducing the risk of errors and improving efficiency.

Data Quality with Soda

In addition to dbt or Snowflake integrations, incorporating a data quality tool, such as Soda, into your modern data stack is essential for maintaining high-quality data. Soda helps monitor, test, and validate data at different stages of the pipeline, ensuring it meets the required quality standards.

Orchestrate the Modern Data Stack with Kestra

Kestra's flexibility enables seamless integration with a variety of modern data stack tools like Apache Kafka, Apache Spark for scalable processing, Fivetran for data replication, as well as leading data tools such as dbt, Snowflake, and Airbyte. By leveraging these integrations, organizations can automate data pipeline management, customize their data pipelines to meet specific requirements, and enhance their analytics capabilities.

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Key Features

Declarative Language

Easily define and manage data workflows using YAML, which simplifies the integration process with modern data stack tools.

Workflow Orchestration

Execute tasks sequentially, in parallel, or conditionally, providing better control and flexibility while working with various data stack components.

Extensibility

Use built-in plugins or create custom plugins to seamlessly integrate with popular data stack tools and services.

Connectivity

Connect to popular data sources and cloud services such as AWS, GCP, Azure, Snowflake, and more.

Rich & real-time UI

Create, execute, and manage data workflows using an intuitive user interface, making it easier to work with modern data stack tools.

Cloud-Native

Kestra's cloud-native architecture ensures seamless scaling and compatibility with modern data stack tools.

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