IBM Databand

Deliver trustworthy and reliable data with continuous data observability

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IBM® Databand® is observability software for data pipelines and warehouses that automatically collects metadata to build historical baselines, detect anomalies and triage alerts to remediate data quality issues.

It’s estimated that we create roughly 33 quintillion bytes of data each day1 (that’s 18 zeros for those counting). This influx of data has created challenges for data-driven organizations, largely because they are not fully prepared for today’s volume of data, the variety of data sources and the complex infrastructure.

IBM Databand is trusted by modern data teams to deliver more reliable and trustworthy data for their business. From broken data pipelines to data quality issues at-rest in your warehouse, Databand’s continuous data observability platform helps detect data incidents earlier, resolve them faster and deliver more trustworthy data to the business.

How it works:

1. Collect: Databand automatically collects metadata to gain immediate visibility, so data platform teams have a standard method for customized data quality validations.

2. Baseline: Next, Databand builds historical baselines based on common run and data behaviors, essentially profiling the data pipeline landscape.

3. Alert: Once the historical baseline is established, Databand alerts on anomalies and rules based on deviations relative to the profile and/or rule breaches.

4. Remediate: Lastly, Databand allows you to create smart communication workflows to remediate data quality issues and keep data deliveries on track.

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Continuously detect and resolve data quality incidents with Databand and watsonx.data
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Solution brief

Read the IBM Data Observability by Databand solution brief

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Benefits Detect incidents earlier

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

Resolve errors faster

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

Improve data reliability

Guarantee data delivery service level agreements (SLAs) by providing visibility into pipeline quality issues.

Features Data incident management

Go from simply observing data incidents to resolving them fast. Databand lets you manage everything from a single pane of glass so you can see, respond and resolve all your data incidents without delay.  

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Data pipeline monitoring

Whether you have hundreds or thousands of data pipelines, no one likes surprises. Databand helps detect missing operations, failed jobs and run durations so you can handle pipeline growth like a pro.

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Data quality monitoring

Tired of losing your data team’s confidence by delivering bad data? With Databand, monitor and alert on data SLAs, unexpected column changes and null records… before they reach your consumers.

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Data anomaly detection

The worst data incidents are the unknown kind. Databand uses automated anomaly detection, so you aren’t surprised when data pipelines take too long or data values change unexpectedly.

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Data lineage and impact analysis

Break silos and get the whole data story with end-to-end data lineage. Databand’s data lineage and impact analysis helps you understand the impact of data incidents on upstream and downstream data flows.

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Case studies
The Weather Company The Weather Company has moved toward being a data-first organization. This means working with data on ML use cases for customer advertising, personalization and health condition predictions. See how one data team improved their ML engineering practices with data observability. Read the case study
Customer reviews
How to buy

Detect incidents sooner, resolve incidents faster and guarantee your data SLAs with a Databand pricing plan that fits your needs.

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Resources

Get to know the benefits of data observability and how it fits into a data architecture like data fabric.

IBM Data Observability by Databand

From understanding pipeline execution health and alerting on pipeline latency to checking data sanity and analyzing data trends, get to know Databand’s many capabilities.

The top data quality metrics you need to know

Explore the top data quality metrics you can use to measure the data in your environment, along with examples for each of Databand’s data quality metrics.

Better Together: Data Quality and Data Observability

This research brief, written by The Futurum Group, analyzes how data teams can better understand and scale quality and reliable data across an enterprise with the right data quality platform.

Demo hub

Watch the demo videos series to learn about data observability and different integrations.

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An intelligent data catalog for the AI era, IBM® Knowledge Catalog lets you access, curate, categorize and share data, knowledge assets and their relationships—no matter where they reside.

Take the next step  

Implement proactive data observability with IBM Databand today so you can know when there’s a data health issue before your users do.

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More ways to explore Documentation Blog posts Demo center Resources
Footnotes

1Amount of Data Created Daily (2023) (link resides outside ibm.com), Exploding Topics, 03 April 2023