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

Guarantee your data SLAs,
with the right plan for you

Growth

Monitored Data Volume
Unlimited
Monitored Pipelines
< 100
Metadata Logged
Up to 500MB / month
Alerting
Email
Slack
Pagerduty
Opsgenie
Hosting
Databand Cloud
SLA & Support
Dedicated support channel

Pro

Monitored Data Volume
Unlimited
Monitored Pipelines
100s
Metadata Logged
Up to 5GB / month
Alerting
Email
Slack
Pagerduty
Opsgenie
Hosting
Databand Cloud
SLA & Support
Dedicated support channel

Prioritized issue response

Enterprise

Monitored Data Volume
Unlimited
Monitored Pipelines
100s to 1,000s
Metadata Logged
Over 5GB / month
Alerting
Email
Slack
Pagerduty
Opsgenie
Hosting
Databand Cloud
Self-Hosted
SLA & Support
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.