Detect and resolve your data issues faster than ever with Databand. The only proactive data observability platform that catches bad data before it impacts your business.
No more surprises.
Deliver trustworthy data.
No more surprises.
Deliver trustworthy data.
Top Data Quality Metrics
Get the top data quality metrics you need to know.
On-Demand Data Lineage Webinar
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Demo Center
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Proactive data observability for
data engineering
Detect data incidents early, resolve them fast, and deliver trustworthy data.
Detect Earlier
Pinpoint unknown data incidents, and reduce mean time to detection (MTTD) from days to minutes.
Resolve Faster
Improve mean time to resolution (MTTR) with incident alerts and routing from weeks to hours.
Deliver Trustworthy Data
Ensure confident decision-making for business consumers and keep customers happy.
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
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
We are different, see why
Let’s face it. There are a lot of data observability solutions out there. Here’s why Databand’s “shift-left” approach is different.
Unlike others that only monitor data-at-rest in your warehouse, we provide the only proactive data observability that ties directly into all stages of your data pipelines, starting with your source data.
How Databand
works
Databand removes bad data surprises by detecting and resolving them before they create costly business impacts.
Collect metadata
Automatically collect metadata from your modern data stack like Airflow, Spark, Databricks, Redshift, dbt, and Snowflake.
Profile behavior
Build historical baselines based on common data pipeline behavior and get visibility into every data flow, from source to destination.
Detect and alert data incidents
Detect high severity data reliability errors that impact your most critical pipelines and alert impacted teams.
Resolve through automation
Create smart workflows that remediate data quality incidents and keep SLAs on track.
Open and extensible
DataOps management
Databand’s open-source library enables you to track data quality information, monitor pipeline health, and automate advanced DataOps processes.
We keep our library open to give engineers complete control over tracking data and the resources needed to build custom extensions.
Incident Management
Improve data reliability and quality under one roof with a single pane of glass for all your data incidents.
End-to-end Lineage
Visualize how data incidents impact upstream and downstream components of your data stack.
Data Reliability Monitoring
Monitor data pipeline errors such as failed runs, longer than expected durations, missing data operations, and unexpected schema changes.
Data Quality Metrics
Continuously validate data quality with dataset metrics for SLAs, column changes, and null records.
Anomaly Detection
Eliminate the unknown by seeing trends & detecting anomalies from your metadata in real-time.
DataOps Alerting and Routing
Customize incident alerts and route notifications to impacted DataOps teams for faster resolution.
Databand core capabilities
Databand’s combined capabilities provide a one-stop-shop for all your data incidents. Now platform and data engineers can focus on building, not fixing, their modern data stack.
Keep up with the Databand community
Fix data incidents fast
See how Databand can transform data observability at your organization today.