Monitoring	Monitors database functionality to verify baselines are maintained or exceeded.	Not enough data
Alerting	Sends alerts via email, text, phone, and more when an incident or issue occcurs.	Not enough data
Logging	Captures logs for all database functions to garner greater information around issues or failures.	Not enough data
Response Time	Monitors database query time for unusual execution times	Not enough data
Reporting	Manually and/or automatically generates reports covering database performance	Not enough data
Data Visualization	Follows database monitoring live information through graphical dashboards	Not enough data
Identification	As reported in 14 Anomalo reviews. Correctly identify inaccurate, incomplete, or duplicated data from a data source.	87% (Based on 14 reviews)
Preventative Cleaning	Clean data as it enters the data source to prevent mixing bad data with cleaned data.	Not enough data
Data Matching	Finds duplicates using the fuzzy logic technology or an advance search feature. 10 reviewers of Anomalo have provided feedback on this feature.	78% (Based on 10 reviews)
Real-time Analytics	Generate real-time depth analytics utilizing event metrics, logging and metadata.	Not enough data
Data quality monitoring	Use custom or pre-built tests for buisness rules. to ensure data quality.	Not enough data
Automation	Involves automation capabilities to identify and track issues, failed operations by looking at historical trends.	Not enough data
End to End visiblity	Complete visibility of the data pipeline, and immediately notifies the data team if any issues. Ensures cross stack visbility.	Not enough data

Management

Reporting	Provide follow-up information after data cleanings through a visual dashboard or reports. This feature was mentioned in 15 Anomalo reviews.	87% (Based on 15 reviews)
Automation	Automatically run data identification, correction, and normalization on data sources. This feature was mentioned in 18 Anomalo reviews.	78% (Based on 18 reviews)
Quality Audits	Schedule automated audits to identify data anomalies over time based on set business rules. 14 reviewers of Anomalo have provided feedback on this feature.	85% (Based on 14 reviews)
Dashboard	Based on 16 Anomalo reviews. Gives a view of the entire data quality management ecosystem.	86% (Based on 16 reviews)
Governance	Allows user role-based access and actions to authorization for specific tasks. This feature was mentioned in 12 Anomalo reviews.	74% (Based on 12 reviews)
Anomaly identification	Identify the different type of anomalies and receive alerts.	Not enough data
Single pane view	The data observability environment can be viewed from a single dashboard.	Not enough data
Real-time alerts	Provides immediate alerts for any anomalies or expected events.	Not enough data
Data lineage	Establishes lineage for the data pipeline - from data warehouse to the data user.	Not enough data
Integrations	Support integrations with various business applications which support different data processes. Also, integrate with apps to provide alerts.	Not enough data