Anomalo
4.4
32

Not Claimed

The leader in enterprise data quality monitoring. Anomalo provides automated deep data quality monitoring and foundational data observability. With Anomalo, data teams and business stakeholders can detect, alert, and resolve issues quickly—enabling everyone to feel confident in the data driving the business. Product Description Anomalo helps you get ahead of data issues by automatically detecting them as soon as they appear, and before anyone else is impacted. -Depth of Checks: Anomalo is the only data quality provider that provides both foundational observability (automated checks for data freshness, volume, schema changes) and deep data quality monitoring (automated checks for data consistency and correctness). -Automation: Anomalo uses unsupervised machine learning to automatically identify missing and anomalous data. -Easy for everyone, no-code UI: A user can generate a no-code check that calculates a metric, plots it over time, generates a time series model, sends intuitive alerts to tools like Slack, and returns a root cause analysis—all within just six clicks. -Intelligent Alerting: Anomalo’s incredibly powerful unsupervised machine learning intelligently readjusts time series models and uses automatic secondary checks to weed out false positives. -Time to Resolution: Anomalo automatically generates a root cause analysis that saves users time determining why an anomoly is occurring. Our triage feature orchestrates a resolution workflow and can integrate with many remediation steps, like ticketing systems. -In-VPC Development: With Anomalo, data never leaves the customer’s environment. Anomalo can be run entirely in-VPC for the utmost in privacy and security. This is a must-have for enterprise organizations' sensitive data and regulatory requirements.
Developer
Anomalo
HQ Location
N/A
Year Founded
2018
Number of Employees
46

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Anomalo Plan

Custom $ Contact Us 10000 Tables Per Year
Free pilot. Secure In-VPC deployment. Contact us to get started. Automated data monitoring Simple installation Visualizations for reporting and explainability
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