SYNQ Features
Functionality (4)
-
Real-time Analytics
Generate real-time depth analytics utilizing event metrics, logging and metadata.
-
Data quality monitoring
Use custom or pre-built tests for buisness rules. to ensure data quality.
-
Automation
Involves automation capabilities to identify and track issues, failed operations by looking at historical trends.
-
End to End visiblity
Complete visibility of the data pipeline, and immediately notifies the data team if any issues. Ensures cross stack visbility.
Management (5)
-
Anomaly identification
Identify the different type of anomalies and receive alerts.
-
Single pane view
The data observability environment can be viewed from a single dashboard.
-
Real-time alerts
Provides immediate alerts for any anomalies or expected events.
-
Data lineage
Establishes lineage for the data pipeline - from data warehouse to the data user.
-
Integrations
Support integrations with various business applications which support different data processes. Also, integrate with apps to provide alerts.
Agentic AI - Data Observability (5)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
