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dbt Alerting and Monitoring with Databand
Discover Databand dbt alerting and monitoring for all your dbt jobs and tests for both dbt Core and dbt Cloud.
Get the steps to achieve proactive
data observability.
Continuous Data Observability Platform
Detect and resolve
data quality incidents
in real-time.
Reduce business impacts of bad data quality
Automate detection & root cause analysis
Improve data engineering efficiency & delivery
5 Steps to Proactive
Observability
Webinar: DataOps + Data
Observability
Struggling with DataOps? Register for the
upcoming webinar around DataOps
observability.
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.
3/5
Top US banks use Databand
10x
Average improvement of mean time to resolution
360
Data quality monitoring for pipelines and at-rest
30+
Supported integrations for data observability
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 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
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, 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
End-to-end observability
Focused on data-in-motion + data-at-rest (from data pipelines to lakes to warehouses)
Real-time alerting on pipeline execution
Custom alerts for data SLAs
Cross tool data lineage and impact analysis
Others
Reactive Observability
Singular focal observability
Focused only on data-at-rest (warehouse only)
Retroactive alerting on table inspection
Incomplete metadata collection for SLAs
Siloed lineage within each tool
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 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.
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 issues fast
See how Databand can transform data observability at your organization today.