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Average Ratings 0 Ratings
Description
Actian Data Observability is an advanced platform leveraging AI to continuously oversee, validate, and maintain the integrity, quality, and dependability of data within contemporary data environments. This system employs automated Data Observability Agents that assess the data as it enters data lakehouses or warehouses, identifying anomalies, elucidating root causes, and facilitating problem resolution before these issues can affect dashboards, reports, or AI applications. By providing instantaneous visibility into data pipelines, it guarantees that data remains precise, comprehensive, and reliable throughout its entire lifecycle. Unlike traditional methods that depend on sampling, it eradicates blind spots by monitoring the entirety of the data, which empowers organizations to uncover concealed errors that may compromise analytics or machine learning results. Furthermore, its integrated anomaly detection, driven by AI and machine learning technologies, allows for the early identification of irregularities such as changes in schema, loss of data, or unexpected distributions, leading to more rapid diagnosis and resolution of issues. Overall, this innovative approach significantly enhances the organization's ability to trust in their data-driven decisions.
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: 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: Use 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.
-Intelligent Alerting: Incredibly powerful unsupervised machine learning intelligently readjusts time series models and uses automatic secondary checks to weed out false positives.
-Time to Resolution: Automatically generates a root cause analysis that saves users time determining why an anomaly is occurring. Our triage feature orchestrates a resolution workflow and can integrate with many remediation steps, like ticketing systems.
-In-VPC Development: Data never leaves the customer’s environment. Anomalo can be run entirely in-VPC for the utmost in privacy & security
API Access
Has API
API Access
Has API
Integrations
Amazon Redshift
Databricks
Google Cloud BigQuery
SQL Server
Snowflake
Alation
Amazon Athena
Apache Iceberg
Apache Spark
Atlan
Integrations
Amazon Redshift
Databricks
Google Cloud BigQuery
SQL Server
Snowflake
Alation
Amazon Athena
Apache Iceberg
Apache Spark
Atlan
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Actian
Founded
1980
Country
United States
Website
www.actian.com/data-observability/
Vendor Details
Company Name
Anomalo
Founded
2018
Country
United States
Website
www.anomalo.com
Product Features
Product Features
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management