There are many different tools that can be used to support DataOps initiatives in an organization. Here is a list of some popular tools in DataOps:

Apache Airflow:

A platform for creating, scheduling, and monitoring data pipelines.

Talend:

A data integration and management tool that can be used to automate data pipelines.

Apache Nifi:

A data integration tool that can be used to automate the movement and transformation of data.

AWS Glue:

A data integration tool that can be used to automate the movement and transformation of data on Amazon Web Services.

Apache Kafka:

A distributed streaming platform that can be used to collect and process data in real-time.

Apache Hadoop:

A distributed file system and data processing framework that can be used to store and process large amounts of data.

DataRobot:

An automated machine learning platform that can be used to build and deploy machine learning models.

Dataiku:

A data science platform that can be used to build, deploy, and manage data pipelines and machine learning models.

Apache Ranger:

A tool for managing data security and access control.

Trifacta:

A data preparation tool that can be used to clean, transform, and prepare data for analysis.