Webinar Replay: Data Observability - Beyond the Hype. Watch now

Databricks

Ryan Yackel
2022-12-07 10:18:05

Amazon MWAA + Databand.ai

Databand.ai’s instant integration to Amazon MWAA provides
comprehensive monitoring and observability into user pipelines.

What’s in it for you?

Integrate easily

Integrate with Databand’s Amazon MWAA connector to begin tracking MWAA metadata

Centralize pipeline metadata to track your data health

Track pipeline statuses, run durations, data volumes, and data quality metrics

Automatically alert on issues in pipelines and data sets

Analyze and alert on metadata anomalies or missing data, trace the root cause of pipeline failures, data quality problems, and the impact issues on your data deliveries

Extend with connections to additional AWS services

Integrate with more AWS tools like EMR, Redshift, and S3, to centralize additional logging and data quality information

Know what’s happening to your data while it’s in motion

Databand.ai makes it easy to integrate powerful preventative alerting into your Airflow environments and your organization. Get alerts on Airflow pipelines that are at risk for late deliveries due to long task duration, discover anomalies in your data volume, gain visibility into data quality issues like breaking changes to in dataset structure by your data sources that normally fly under the radar.

Best of all, Databand.ai makes it easy to push these notifications to Slack, OpsGenie, Pagerduty, or whatever other notification systems your data team uses.

Jump right into the root cause of data health issues

Drill beneath the surface of your Airflow environments and cut down on engineering’s Time-to-Remediation.

When Databand.ai sends you an alert, clicking brings you right where the incident occurs so you can begin to get context on the root cause. Databand.ai makes it easy to see all the relevant information you’ll need to resolve the issue. View your pipeline inputs and outputs, error traces, logs, data source, parameters, xcoms, and user metrics in one easy-to-use Dashboard.

Get a bird’s eye view of all your Airflow instances

With Databand.ai, all of your Airflow observability activities can live in one place.

The Databand Dashboard makes it easy to highlight all the important metrics for all of your high-stakes Airflow DAGs. Visualizations and charts of your critical data assets allow you to see whether pipeline metrics are in the right ranges and Airflow throughput is on schedule for delivery.

FAQs

No, this integration is built into the platform at no extra cost.

It’s actually super quick! You can integrate Databand.ai to your Airflow environments with just one click. If you would like to learn more about how the integration works, please read our documentation on this integration.

Getting started is easy. First, you start your free trial or schedule a product demo. From there, the Solutions Architect team will advise you how to customize the platform to best suit your needs.

Fix Data Incidents Fast

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Lorem dolor ac dolor risus, leo. Volutpat tellus massa elit a viverra vitae. Tellus tempor velit, cursus nisl odio.

Snowflake

Marco Alcaria
2022-10-24 09:58:35

Continuous Snowflake observability with Databand

Databand provides Snowflake observability within your Snowflake warehouse so data teams can identify and resolve data quality issues fast.

Why Snowflake observability with Databand?

No one likes consuming bad data. Databand’s Snowflake observability helps you detect data incidents with your Snowflake tables related to data quality, freshness, and volume so you can eliminate bad data. 

Icon Icon

Automate detection

Detect issues in the columns using custom and semi-custom queries. 

Icon Icon

Uncover the unknowns

Detect unexpected anomalies like missing data or spikes in volume. 

Icon Icon

Guarantee data SLAs

Make sure Snowflake updates within expected data SLAs and with fresh data.  

Watch Snowflake + Databand in action.

With Databand’s Snowflake observability, data teams can instantly debug incidents in the warehouse and resolve them quickly before creating downstream business impacts. 

snowflake data quality alerts

DATA QUALITY ALERTS

Receive data quality alerts for all Snowflake incidents.

Leverage the power of Databand’s data quality alerts to detect nulls and duplicates, before it affects your data consumers. 

Snowflake observability allows you to generate alerts for incidents like: 

  • Volume alerts to detect unexpected spikes in the volume of your data. 
  • Freshness alerts to find out that your table was updated on time. 
  • Customized SQL queries and data rules for monitoring the warehouse.

ON DEMAND WEBINAR

How to Strengthen DataOps with Continuous Data Observability

CENTRAL LOGGING

Stop wasting time. Investigate all Snowflake data quality incidents in one place.

Now you can debug incidents easier and resolve them faster. Databand’s Snowflake observability helps data teams quickly view all incidents and their root causes in one place. 

  • Analyze the historical trends in your data to understand the severity of the issue. 
  • Automatically detect the root cause of your data issue.
  • View lineage and impact analysis of your Snowflake tables and DAGs. 
snowflake quality alerts
Testimonial Image

Databand automatically monitors the health of our Airflow pipelines so we spend less time debugging, and more time building ML models. Before Databand, 60% of our pipelines had at least one data incident. Now less than 1% of pipelines have incidents. This resulted in a 3X increase in our customers since we can now manage our ML deep learning models at scale.

Tzoof Hemed
AI-Engineering Team Leader
Testimonial Image

Databand helps us detect data quality issues faster so we can meet our data SLAs. Without Databand, we didn’t know we had problems until two or three days later – forcing us to backfill the data. 

Fithrah Fauzan
Data Engineering Lead
Testimonial Image

Databand is helping us achieve better pipeline reliability and higher velocity releases for our data products. The platform saves our team a lot of troubleshooting time by providing one holistic view for job monitoring and dependencies so that everyone can see what’s happening in our pipelines.

Amir Ara
Senior Engineering

Keep up with the Databand community

Fix data incidents fast

See how Databand can transform data observability at your organization today.

Amazon Redshift

Marco Alcaria
2022-10-24 09:55:39

Amazon MWAA + Databand.ai

Databand.ai’s instant integration to Amazon MWAA provides
comprehensive monitoring and observability into user pipelines.

What’s in it for you?

Integrate easily

Integrate with Databand’s Amazon MWAA connector to begin tracking MWAA metadata

Centralize pipeline metadata to track your data health

Track pipeline statuses, run durations, data volumes, and data quality metrics

Automatically alert on issues in pipelines and data sets

Analyze and alert on metadata anomalies or missing data, trace the root cause of pipeline failures, data quality problems, and the impact issues on your data deliveries

Extend with connections to additional AWS services

Integrate with more AWS tools like EMR, Redshift, and S3, to centralize additional logging and data quality information

Know what’s happening to your data while it’s in motion

Databand.ai makes it easy to integrate powerful preventative alerting into your Airflow environments and your organization. Get alerts on Airflow pipelines that are at risk for late deliveries due to long task duration, discover anomalies in your data volume, gain visibility into data quality issues like breaking changes to in dataset structure by your data sources that normally fly under the radar.

Best of all, Databand.ai makes it easy to push these notifications to Slack, OpsGenie, Pagerduty, or whatever other notification systems your data team uses.

Jump right into the root cause of data health issues

Drill beneath the surface of your Airflow environments and cut down on engineering’s Time-to-Remediation.

When Databand.ai sends you an alert, clicking brings you right where the incident occurs so you can begin to get context on the root cause. Databand.ai makes it easy to see all the relevant information you’ll need to resolve the issue. View your pipeline inputs and outputs, error traces, logs, data source, parameters, xcoms, and user metrics in one easy-to-use Dashboard.

Get a bird’s eye view of all your Airflow instances

With Databand.ai, all of your Airflow observability activities can live in one place.

The Databand Dashboard makes it easy to highlight all the important metrics for all of your high-stakes Airflow DAGs. Visualizations and charts of your critical data assets allow you to see whether pipeline metrics are in the right ranges and Airflow throughput is on schedule for delivery.

FAQs

No, this integration is built into the platform at no extra cost.

It’s actually super quick! You can integrate Databand.ai to your Airflow environments with just one click. If you would like to learn more about how the integration works, please read our documentation on this integration.

Getting started is easy. First, you start your free trial or schedule a product demo. From there, the Solutions Architect team will advise you how to customize the platform to best suit your needs.

Fix Data Incidents Fast

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Lorem dolor ac dolor risus, leo. Volutpat tellus massa elit a viverra vitae. Tellus tempor velit, cursus nisl odio.

Amazon S3

Marco Alcaria
2022-10-07 09:59:05

Amazon MWAA + Databand.ai

Databand.ai’s instant integration to Amazon MWAA provides
comprehensive monitoring and observability into user pipelines.

What’s in it for you?

Integrate easily

Integrate with Databand’s Amazon MWAA connector to begin tracking MWAA metadata

Centralize pipeline metadata to track your data health

Track pipeline statuses, run durations, data volumes, and data quality metrics

Automatically alert on issues in pipelines and data sets

Analyze and alert on metadata anomalies or missing data, trace the root cause of pipeline failures, data quality problems, and the impact issues on your data deliveries

Extend with connections to additional AWS services

Integrate with more AWS tools like EMR, Redshift, and S3, to centralize additional logging and data quality information

Know what’s happening to your data while it’s in motion

Databand.ai makes it easy to integrate powerful preventative alerting into your Airflow environments and your organization. Get alerts on Airflow pipelines that are at risk for late deliveries due to long task duration, discover anomalies in your data volume, gain visibility into data quality issues like breaking changes to in dataset structure by your data sources that normally fly under the radar.

Best of all, Databand.ai makes it easy to push these notifications to Slack, OpsGenie, Pagerduty, or whatever other notification systems your data team uses.

Jump right into the root cause of data health issues

Drill beneath the surface of your Airflow environments and cut down on engineering’s Time-to-Remediation.

When Databand.ai sends you an alert, clicking brings you right where the incident occurs so you can begin to get context on the root cause. Databand.ai makes it easy to see all the relevant information you’ll need to resolve the issue. View your pipeline inputs and outputs, error traces, logs, data source, parameters, xcoms, and user metrics in one easy-to-use Dashboard.

Get a bird’s eye view of all your Airflow instances

With Databand.ai, all of your Airflow observability activities can live in one place.

The Databand Dashboard makes it easy to highlight all the important metrics for all of your high-stakes Airflow DAGs. Visualizations and charts of your critical data assets allow you to see whether pipeline metrics are in the right ranges and Airflow throughput is on schedule for delivery.

FAQs

No, this integration is built into the platform at no extra cost.

It’s actually super quick! You can integrate Databand.ai to your Airflow environments with just one click. If you would like to learn more about how the integration works, please read our documentation on this integration.

Getting started is easy. First, you start your free trial or schedule a product demo. From there, the Solutions Architect team will advise you how to customize the platform to best suit your needs.

Fix Data Incidents Fast

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Lorem dolor ac dolor risus, leo. Volutpat tellus massa elit a viverra vitae. Tellus tempor velit, cursus nisl odio.

Google Cloud Storage

Marco Alcaria
2022-10-07 09:57:43

Amazon MWAA + Databand.ai

Databand.ai’s instant integration to Amazon MWAA provides
comprehensive monitoring and observability into user pipelines.

What’s in it for you?

Integrate easily

Integrate with Databand’s Amazon MWAA connector to begin tracking MWAA metadata

Centralize pipeline metadata to track your data health

Track pipeline statuses, run durations, data volumes, and data quality metrics

Automatically alert on issues in pipelines and data sets

Analyze and alert on metadata anomalies or missing data, trace the root cause of pipeline failures, data quality problems, and the impact issues on your data deliveries

Extend with connections to additional AWS services

Integrate with more AWS tools like EMR, Redshift, and S3, to centralize additional logging and data quality information

Know what’s happening to your data while it’s in motion

Databand.ai makes it easy to integrate powerful preventative alerting into your Airflow environments and your organization. Get alerts on Airflow pipelines that are at risk for late deliveries due to long task duration, discover anomalies in your data volume, gain visibility into data quality issues like breaking changes to in dataset structure by your data sources that normally fly under the radar.

Best of all, Databand.ai makes it easy to push these notifications to Slack, OpsGenie, Pagerduty, or whatever other notification systems your data team uses.

Jump right into the root cause of data health issues

Drill beneath the surface of your Airflow environments and cut down on engineering’s Time-to-Remediation.

When Databand.ai sends you an alert, clicking brings you right where the incident occurs so you can begin to get context on the root cause. Databand.ai makes it easy to see all the relevant information you’ll need to resolve the issue. View your pipeline inputs and outputs, error traces, logs, data source, parameters, xcoms, and user metrics in one easy-to-use Dashboard.

Get a bird’s eye view of all your Airflow instances

With Databand.ai, all of your Airflow observability activities can live in one place.

The Databand Dashboard makes it easy to highlight all the important metrics for all of your high-stakes Airflow DAGs. Visualizations and charts of your critical data assets allow you to see whether pipeline metrics are in the right ranges and Airflow throughput is on schedule for delivery.

FAQs

No, this integration is built into the platform at no extra cost.

It’s actually super quick! You can integrate Databand.ai to your Airflow environments with just one click. If you would like to learn more about how the integration works, please read our documentation on this integration.

Getting started is easy. First, you start your free trial or schedule a product demo. From there, the Solutions Architect team will advise you how to customize the platform to best suit your needs.

Fix Data Incidents Fast

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Lorem dolor ac dolor risus, leo. Volutpat tellus massa elit a viverra vitae. Tellus tempor velit, cursus nisl odio.

Delta Lake

Marco Alcaria
2022-10-07 09:57:07

Amazon MWAA + Databand.ai

Databand.ai’s instant integration to Amazon MWAA provides
comprehensive monitoring and observability into user pipelines.

What’s in it for you?

Integrate easily

Integrate with Databand’s Amazon MWAA connector to begin tracking MWAA metadata

Centralize pipeline metadata to track your data health

Track pipeline statuses, run durations, data volumes, and data quality metrics

Automatically alert on issues in pipelines and data sets

Analyze and alert on metadata anomalies or missing data, trace the root cause of pipeline failures, data quality problems, and the impact issues on your data deliveries

Extend with connections to additional AWS services

Integrate with more AWS tools like EMR, Redshift, and S3, to centralize additional logging and data quality information

Know what’s happening to your data while it’s in motion

Databand.ai makes it easy to integrate powerful preventative alerting into your Airflow environments and your organization. Get alerts on Airflow pipelines that are at risk for late deliveries due to long task duration, discover anomalies in your data volume, gain visibility into data quality issues like breaking changes to in dataset structure by your data sources that normally fly under the radar.

Best of all, Databand.ai makes it easy to push these notifications to Slack, OpsGenie, Pagerduty, or whatever other notification systems your data team uses.

Jump right into the root cause of data health issues

Drill beneath the surface of your Airflow environments and cut down on engineering’s Time-to-Remediation.

When Databand.ai sends you an alert, clicking brings you right where the incident occurs so you can begin to get context on the root cause. Databand.ai makes it easy to see all the relevant information you’ll need to resolve the issue. View your pipeline inputs and outputs, error traces, logs, data source, parameters, xcoms, and user metrics in one easy-to-use Dashboard.

Get a bird’s eye view of all your Airflow instances

With Databand.ai, all of your Airflow observability activities can live in one place.

The Databand Dashboard makes it easy to highlight all the important metrics for all of your high-stakes Airflow DAGs. Visualizations and charts of your critical data assets allow you to see whether pipeline metrics are in the right ranges and Airflow throughput is on schedule for delivery.

FAQs

No, this integration is built into the platform at no extra cost.

It’s actually super quick! You can integrate Databand.ai to your Airflow environments with just one click. If you would like to learn more about how the integration works, please read our documentation on this integration.

Getting started is easy. First, you start your free trial or schedule a product demo. From there, the Solutions Architect team will advise you how to customize the platform to best suit your needs.

Fix Data Incidents Fast

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Lorem dolor ac dolor risus, leo. Volutpat tellus massa elit a viverra vitae. Tellus tempor velit, cursus nisl odio.

Deequ

Marco Alcaria
2022-10-07 09:56:43

Amazon MWAA + Databand.ai

Databand.ai’s instant integration to Amazon MWAA provides
comprehensive monitoring and observability into user pipelines.

What’s in it for you?

Integrate easily

Integrate with Databand’s Amazon MWAA connector to begin tracking MWAA metadata

Centralize pipeline metadata to track your data health

Track pipeline statuses, run durations, data volumes, and data quality metrics

Automatically alert on issues in pipelines and data sets

Analyze and alert on metadata anomalies or missing data, trace the root cause of pipeline failures, data quality problems, and the impact issues on your data deliveries

Extend with connections to additional AWS services

Integrate with more AWS tools like EMR, Redshift, and S3, to centralize additional logging and data quality information

Know what’s happening to your data while it’s in motion

Databand.ai makes it easy to integrate powerful preventative alerting into your Airflow environments and your organization. Get alerts on Airflow pipelines that are at risk for late deliveries due to long task duration, discover anomalies in your data volume, gain visibility into data quality issues like breaking changes to in dataset structure by your data sources that normally fly under the radar.

Best of all, Databand.ai makes it easy to push these notifications to Slack, OpsGenie, Pagerduty, or whatever other notification systems your data team uses.

Jump right into the root cause of data health issues

Drill beneath the surface of your Airflow environments and cut down on engineering’s Time-to-Remediation.

When Databand.ai sends you an alert, clicking brings you right where the incident occurs so you can begin to get context on the root cause. Databand.ai makes it easy to see all the relevant information you’ll need to resolve the issue. View your pipeline inputs and outputs, error traces, logs, data source, parameters, xcoms, and user metrics in one easy-to-use Dashboard.

Get a bird’s eye view of all your Airflow instances

With Databand.ai, all of your Airflow observability activities can live in one place.

The Databand Dashboard makes it easy to highlight all the important metrics for all of your high-stakes Airflow DAGs. Visualizations and charts of your critical data assets allow you to see whether pipeline metrics are in the right ranges and Airflow throughput is on schedule for delivery.

FAQs

No, this integration is built into the platform at no extra cost.

It’s actually super quick! You can integrate Databand.ai to your Airflow environments with just one click. If you would like to learn more about how the integration works, please read our documentation on this integration.

Getting started is easy. First, you start your free trial or schedule a product demo. From there, the Solutions Architect team will advise you how to customize the platform to best suit your needs.

Fix Data Incidents Fast

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Lorem dolor ac dolor risus, leo. Volutpat tellus massa elit a viverra vitae. Tellus tempor velit, cursus nisl odio.

Google BigQuery

Marco Alcaria
2022-10-07 09:55:03

Continuous BigQuery observability with Databand

Databand provides BigQuery observability within your BigQuery warehouse so data teams can identify and resolve data quality issues fast.

Why BigQuery observability with Databand?

No one likes consuming bad data. Databand’s BigQuery observability helps you detect data incidents with your BigQuery tables related to data quality, freshness, and volume so you can eliminate bad data. 

Icon Icon

Automate detection

Detect issues in the columns using custom and semi-custom queries. 

Icon Icon

Uncover the unknowns

Detect unexpected anomalies like missing data or spikes in volume. 

Icon Icon

Guarantee data SLAs

Make sure BigQuery updates within expected data SLAs and with fresh data.  

BigQuery Data Observability

DATA QUALITY ALERTS

Receive data quality alerts for all BigQuery incidents.

Leverage the power of Databand’s data quality alerts to detect nulls and duplicates, before it affects your data consumers. 

BigQuery observability allows you to generate alerts for incidents like: 

  • Volume alerts to detect unexpected spikes in the volume of your data. 
  • Freshness alerts to find out that your table was updated on time. 
  • Customized SQL queries and data rules for monitoring the warehouse.

ON DEMAND WEBINAR

How to Strengthen DataOps with Continuous Data Observability

CENTRAL LOGGING

Stop wasting time. Investigate all BigQuery data quality incidents in one place.

Now you can debug incidents easier and resolve them faster. Databand’s BigQuery observability helps data teams quickly view all incidents and their root causes in one place. 

  • Analyze the historical trends in your data to understand the severity of the issue. 
  • Automatically detect the root cause of your data issue.
  • View lineage and impact analysis of your BigQuery tables and DAGs. 
snowflake quality alerts
Testimonial Image

Databand automatically monitors the health of our Airflow pipelines so we spend less time debugging, and more time building ML models. Before Databand, 60% of our pipelines had at least one data incident. Now less than 1% of pipelines have incidents. This resulted in a 3X increase in our customers since we can now manage our ML deep learning models at scale.

Tzoof Hemed
AI-Engineering Team Leader
Testimonial Image

Databand helps us detect data quality issues faster so we can meet our data SLAs. Without Databand, we didn’t know we had problems until two or three days later – forcing us to backfill the data. 

Fithrah Fauzan
Data Engineering Lead
Testimonial Image

Databand is helping us achieve better pipeline reliability and higher velocity releases for our data products. The platform saves our team a lot of troubleshooting time by providing one holistic view for job monitoring and dependencies so that everyone can see what’s happening in our pipelines.

Amir Ara
Senior Engineering

Keep up with the Databand community

Fix data incidents fast

See how Databand can transform data observability at your organization today.

MySQL

Marco Alcaria
2022-10-07 09:53:18

Amazon MWAA + Databand.ai

Databand.ai’s instant integration to Amazon MWAA provides
comprehensive monitoring and observability into user pipelines.

What’s in it for you?

Integrate easily

Integrate with Databand’s Amazon MWAA connector to begin tracking MWAA metadata

Centralize pipeline metadata to track your data health

Track pipeline statuses, run durations, data volumes, and data quality metrics

Automatically alert on issues in pipelines and data sets

Analyze and alert on metadata anomalies or missing data, trace the root cause of pipeline failures, data quality problems, and the impact issues on your data deliveries

Extend with connections to additional AWS services

Integrate with more AWS tools like EMR, Redshift, and S3, to centralize additional logging and data quality information

Know what’s happening to your data while it’s in motion

Databand.ai makes it easy to integrate powerful preventative alerting into your Airflow environments and your organization. Get alerts on Airflow pipelines that are at risk for late deliveries due to long task duration, discover anomalies in your data volume, gain visibility into data quality issues like breaking changes to in dataset structure by your data sources that normally fly under the radar.

Best of all, Databand.ai makes it easy to push these notifications to Slack, OpsGenie, Pagerduty, or whatever other notification systems your data team uses.

Jump right into the root cause of data health issues

Drill beneath the surface of your Airflow environments and cut down on engineering’s Time-to-Remediation.

When Databand.ai sends you an alert, clicking brings you right where the incident occurs so you can begin to get context on the root cause. Databand.ai makes it easy to see all the relevant information you’ll need to resolve the issue. View your pipeline inputs and outputs, error traces, logs, data source, parameters, xcoms, and user metrics in one easy-to-use Dashboard.

Get a bird’s eye view of all your Airflow instances

With Databand.ai, all of your Airflow observability activities can live in one place.

The Databand Dashboard makes it easy to highlight all the important metrics for all of your high-stakes Airflow DAGs. Visualizations and charts of your critical data assets allow you to see whether pipeline metrics are in the right ranges and Airflow throughput is on schedule for delivery.

FAQs

No, this integration is built into the platform at no extra cost.

It’s actually super quick! You can integrate Databand.ai to your Airflow environments with just one click. If you would like to learn more about how the integration works, please read our documentation on this integration.

Getting started is easy. First, you start your free trial or schedule a product demo. From there, the Solutions Architect team will advise you how to customize the platform to best suit your needs.

Fix Data Incidents Fast

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Lorem dolor ac dolor risus, leo. Volutpat tellus massa elit a viverra vitae. Tellus tempor velit, cursus nisl odio.

PostgreSQL

Marco Alcaria
2022-10-07 09:52:27

Amazon MWAA + Databand.ai

Databand.ai’s instant integration to Amazon MWAA provides
comprehensive monitoring and observability into user pipelines.

What’s in it for you?

Integrate easily

Integrate with Databand’s Amazon MWAA connector to begin tracking MWAA metadata

Centralize pipeline metadata to track your data health

Track pipeline statuses, run durations, data volumes, and data quality metrics

Automatically alert on issues in pipelines and data sets

Analyze and alert on metadata anomalies or missing data, trace the root cause of pipeline failures, data quality problems, and the impact issues on your data deliveries

Extend with connections to additional AWS services

Integrate with more AWS tools like EMR, Redshift, and S3, to centralize additional logging and data quality information

Know what’s happening to your data while it’s in motion

Databand.ai makes it easy to integrate powerful preventative alerting into your Airflow environments and your organization. Get alerts on Airflow pipelines that are at risk for late deliveries due to long task duration, discover anomalies in your data volume, gain visibility into data quality issues like breaking changes to in dataset structure by your data sources that normally fly under the radar.

Best of all, Databand.ai makes it easy to push these notifications to Slack, OpsGenie, Pagerduty, or whatever other notification systems your data team uses.

Jump right into the root cause of data health issues

Drill beneath the surface of your Airflow environments and cut down on engineering’s Time-to-Remediation.

When Databand.ai sends you an alert, clicking brings you right where the incident occurs so you can begin to get context on the root cause. Databand.ai makes it easy to see all the relevant information you’ll need to resolve the issue. View your pipeline inputs and outputs, error traces, logs, data source, parameters, xcoms, and user metrics in one easy-to-use Dashboard.

Get a bird’s eye view of all your Airflow instances

With Databand.ai, all of your Airflow observability activities can live in one place.

The Databand Dashboard makes it easy to highlight all the important metrics for all of your high-stakes Airflow DAGs. Visualizations and charts of your critical data assets allow you to see whether pipeline metrics are in the right ranges and Airflow throughput is on schedule for delivery.

FAQs

No, this integration is built into the platform at no extra cost.

It’s actually super quick! You can integrate Databand.ai to your Airflow environments with just one click. If you would like to learn more about how the integration works, please read our documentation on this integration.

Getting started is easy. First, you start your free trial or schedule a product demo. From there, the Solutions Architect team will advise you how to customize the platform to best suit your needs.

Fix Data Incidents Fast

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Lorem dolor ac dolor risus, leo. Volutpat tellus massa elit a viverra vitae. Tellus tempor velit, cursus nisl odio.