Guarantee your data SLAs,
with the right plan for you
Growth | Pro | Enterprise | |
---|---|---|---|
Unlimited | Unlimited | Unlimited | |
< 100 | 100s | 100s to 1,000s | |
Up to 500MB / month | Up to 5GB / month | Over 5GB / month | |
Email Slack Pagerduty Opsgenie | Email Slack Pagerduty Opsgenie | Email Slack Pagerduty Opsgenie | |
Databand Cloud | Databand Cloud | Databand Cloud Self-Hosted | |
Dedicated support channel | Dedicated support channel Prioritized issue response | Dedicated support channel Prioritized issue response 24 hour issue response and mitigation | |
Request demo | Request Demo | Request demo |
Growth
Unlimited
< 100
Up to 500MB / month
Slack
Pagerduty
Opsgenie
Databand Cloud
Dedicated support channel
Pro
Unlimited
100s
Up to 5GB / month
Slack
Pagerduty
Opsgenie
Databand Cloud
Dedicated support channel
Prioritized issue response
Enterprise
Unlimited
100s to 1,000s
Over 5GB / month
Slack
Pagerduty
Opsgenie
Databand Cloud
Self-Hosted
Dedicated support channel
Prioritized issue response
24 hour issue response and mitigation
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

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. Data engineers see how their pipelines affect data health so they can more easily prioritize issues, plan resolutions, and produce better data products.
Databand is perfect for organizations, DataOps teams, and data engineers that 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 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.
Fix data issues fast
See how Databand can transform data observability at your organization today.