Deliver trustworthy and reliable data with continuous data observability
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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Read the IBM Data Observability by Databand solution brief
Pinpoint unknown data incidents and reduce mean time to detection (MTTD) from days to minutes.
Improve mean time to resolution (MTTR) from weeks to hours with incident alerting and real-time routing.
Guarantee data delivery service level agreements (SLAs) by providing visibility into pipeline quality issues.
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.
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.
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.
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.
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.
Detect incidents sooner, resolve incidents faster and guarantee your data SLAs with a Databand pricing plan that fits your needs.
Get to know the benefits of data observability and how it fits into a data architecture like data fabric.
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.
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.
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.
Watch the demo videos series to learn about data observability and different integrations.
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