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

Continuous Data Observability Platform

Detect and resolve
data quality incidents
in real time.

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Reduce business impacts of bad data quality

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Automate detection & root cause analysis

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Improve data engineering efficiency & delivery

Databand Platform

5 Steps to Proactive

Get the steps to achieve proactive
data observability.

DATAcated Live Replay

Join this DATAcated Takeover to learn about real-world data observability in action.

Demo Center

See Databand in action with quick demos
and videos.

Trusted by modern
data teams

Databand is trusted by the modern data teams to achieve better data quality for their business. Whether it’s detecting broken data pipelines or data quality issues at-rest in your warehouse, Databand has you covered.


Top US banks use Databand


Average improvement of mean time to resolution


Data quality monitoring for pipelines and at-rest


Supported integrations for data observability

Continuous data observability for
data engineering

Detect data incidents early, resolve them fast, and deliver trustworthy data.

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Detect earlier

Pinpoint unknown data incidents, and reduce mean time to detection (MTTD) from days to minutes.

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Resolve faster

Improve mean time to resolution (MTTR) with incident alerts and routing from weeks to hours.

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Deliver trustworthy data

Ensure confident decision-making for business consumers and keep customers happy.

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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
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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
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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, Databand provides a continuous data observability approach that ties directly into all stages of your data lifecycle, starting with your source data.

IBM Databand

Continuous Observability

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End-to-end observability

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Focused on data-in-motion + data-at-rest (from data pipelines to lakes to warehouses)

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Real-time alerting on pipeline execution

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Custom alerts for data SLAs

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Cross tool data lineage and impact analysis


Reactive Observability

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Singular focal observability

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Focused only on data-at-rest (warehouse only)

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Retroactive alerting on table inspection

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Incomplete metadata collection for SLAs

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Siloed lineage within each tool

How Databand works

Databand removes bad data surprises by detecting and resolving them before they create costly business impacts.

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Collect metadata

Automatically collect metadata from your modern data stack like Airflow, Spark, Databricks, Redshift, dbt, and Snowflake.

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Profile behavior

Build historical baselines based on common data pipeline behavior and get visibility into every data flow, from source to destination.

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Detect and alert data incidents

Detect high severity data reliability errors that impact your most critical pipelines and alert impacted teams.

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Resolve the root cause

Create smart communication workflows to resolve data quality issues & meet SLAs.

Open & 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.

Databand Ecosystem
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Incident Management

Improve data reliability and quality under one roof with a single pane of glass for all your data incidents.

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End-to-end Lineage

Visualize how data incidents impact upstream and downstream components of your data stack.

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Data Reliability Monitoring

Monitor data pipeline errors such as failed runs, longer than expected durations, missing data operations, and unexpected schema changes.

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Data Quality Metrics

Continuously validate data quality with dataset metrics for SLAs, column changes, and null records.

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Anomaly Detection

Eliminate the unknown by seeing trends & detecting anomalies from your metadata in real-time.

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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 issues fast

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