Read our new blog about 'Avoid data SLA misses with Databand Dashboard'

Native integrations to your data tools

Our Integrations

Apache Spark

Tracking for PySpark, Java, and Scala tasks on native Spark infrastructure

Databricks

Tracking for PySpark, Java, and Scala tasks on Databricks

amazon emr databand.ai data observability

Amazon EMR

Tracking for PySpark, Java, and Scala tasks on Amazon EMR

Google DataProc

Tracking for PySpark, Java, and Scala tasks on Google Dataproc

apache airflow and databand.ai observability platform

Apache Airflow

Track statuses, data lineage, and data quality, and more for Airflow DAGs

Amazon MWAA

Track statuses, data lineage, and data quality, and more for DAGs on AWS MWAA

Google Composer

Track statuses, data lineage, and data quality, and more for DAGs on Google Composer

amazon s3 and databand - observability dataops data pipeline

Amazon S3

Gain insights into data freshness, volume, completeness, and accuracy in data stored on S3

google cloud and databand.ai observability platform

Google Cloud Storage

Gain insights into data freshness, volume, completeness, and accuracy in data stored on GCS

delta lake and databand.ai

Delta Lake

Gain insights into data freshness, volume, completeness, and accuracy in data stored on Delta Lake

Deequ

Capture metadata from data quality profiling and assertions on Deequ

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MLflow

Capture metadata from model training and experiments with MLFlow

snowflake and databand.ai observability platform

Snowflake

Tracking for query health, performance, and data quality info on Snowflake

amazon redshift databand.ai data observability

Amazon Redshift

Tracking for query health, performance, and data quality info on Redshift

google bigquery databand.ai data observability

Google BigQuery

Tracking for query health, performance, and data quality info on BigQuery

Microsoft Azure

Seamlessly integrated with the Microsoft Azure ecosystem, from source to warehousing tools

Amazon Web Services

Seamlessly integrated with the AWS ecosystem, and work with EMR, S3 and others

MySQL

Monitor MySQL pipeline data and performance, understand bottlenecks and costs

PostgreSQL

Monitor PostgreSQL pipeline data and performance, understand bottlenecks and costs

Python

Track your Python data pipelines and code, collect pandas, parquet or pyspark metrics

Java

Track your Java data pipelines and code, collect Spark dataframe metrics

Scala

Track your Scala data pipelines and code, collect Spark dataframe metrics

Kubernetes

Easily connect orchestrated tasks on Kubernetes environments

Docker

Connect to orchestrated tasks in Docker containers

Azkaban

Track statuses, data lineage, and data quality, and more for Azkaban flows

Custom Integrations

Don’t see your tools here? You can use our library and open source SDK to build new connections