Guarantee your data SLAs,
with the right plan for you

Pricing fit for any of your data needs

Growth

$500 / month

Metadata Logged (*)
Up to 500MB / month
Alerting
Email
Slack
Pagerduty
Opsgenie
Hosting
Databand Cloud
SLA & Support
Dedicated support channel

Prioritized issue response

Pro

Contact Us

Metadata Logged (*)
Up to 5GB / month
Alerting
Email
Slack
Pagerduty
Opsgenie
Hosting
Databand Cloud
SLA & Support
Dedicated support channel

Prioritized issue response

Enterprise

Contact Us

Metadata Logged (*)
Unlimited
Alerting
Email
Slack
Pagerduty
Opsgenie
Hosting
Databand Cloud
Self-Hosted
SLA & Support
Dedicated support channel

Prioritized issue response

24 hour issue response and mitigation

(*) This refers to just the metadata information logged to Databand, not your full volume of data!

We help data teams build reliable data products

“Databand is helping us achieve better pipeline reliability and higher velocity releases for our data products. The platform is saving 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 Arad. Senior Engineering
Manager at Agoda

FAQs

Data observability is necessary because data health isn’t binary. Data observability gives you a granular view of your data health, and covers an umbrella of activities. These activities include tracking, alerting, comparisons, and importantly, next best action. If your standards for data health are high, you need observability across all your tools. You can read more about this topic here.

Our platform unifies data pipeline observability across your entire tech stack. This makes it easy to identify the root cause of data pipeline issues fast and project their impact downstream. Data engineers see how their pipelines affect data health so they can more easily prioritize issues, plan resolutions, and produce better data products.

Databand.ai is perfect for organizations, DataOps teams, and data engineers that are data-driven and take the health of their data seriously. If you deliver data products, leverage machine learning, handle large volumes of data across multiple tools, and you lose money when data doesn’t meet quality standards Databand.ai is for you.

Databand currently has integrations with Apache Airflow, Apache Spark, Amazon Redshift, Snowflake, Amazon S3, and 20 other tools and technologies with plans to add more.

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

Find and fix data health issues fast

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