Why Data Reliability and Quality Monitoring Matters
Poor data quality can result in misinformed decisions, operational inefficiencies, and financial losses. Data inconsistencies, missing values, or schema changes can lead to costly downstream issues, impacting reporting accuracy and customer trust.
With DataRadar’s real-time monitoring, you can detect anomalies, validate data integrity, and prevent disruptions before they escalate. Our proactive alerting system ensures that data issues are addressed immediately, reducing downtime and optimizing cloud resource utilization.
By integrating seamlessly with your data pipelines, DataRadar empowers you to maintain high-quality, reliable data—so you can make faster, smarter business decisions with confidence.
Unlock the Full Potential of Your Data with Custom Quality Checks
Harness the power of tailored data quality checks to keep your data accurate, consistent, and business-ready to drive results. With custom data quality rules built for your unique needs, you can trust your data to support your business goals seamlessly. DataRadar’s intelligent quality framework helps you automate checks, catch issues early, and maintain trusted data at scale.
-
Custom Data Quality Rules Build quality checks that align with your business logic, ensuring data meets your standards.
-
Automated Data Accuracy Rely on automated checks to keep your data clean and consistent without extra effort.
-
Instant Alerts Stay in control with real-time alerts that help you detect and resolve issues before they impact business.
-
End-to-End Data Consistency Maintain reliable and high quality data across all pipelines and systems, for trusted decision-making.
Stay Ahead with Real‑Time Schema Monitoring
Structural changes in your data sources can break pipelines, skew reports, and disrupt downstream processes. DataRadar’s real-time schema monitoring detects changes in table structures, data types, and metadata – so you can respond before issues cascade.
Continuous ELT Pipeline Protection: Monitor schema changes as they happen to prevent breakages in your ELT workflows.
Proactive Alerts on Structural Shifts: Get instant notifications when columns are added, removed, or modified across your datasets.
Reliable Metadata Insights: Maintain alignment between source systems and data models with always-on metadata tracking.
Zero Disruption Operations: Prevent downtime and ensure data integrity by addressing schema drift before it impacts production.
Seamless Integration Across Your Modern Data Stack
DataRadar offers native integration with leading data platforms—enabling real-time monitoring, validation, and issue detection across your entire data environment. Gain continuous visibility and control over data quality, schema drift, and reliability with every connector.
-
Snowflake: Monitor data quality, schema changes, and pipeline health with real-time validation and alerting.
Use Cases: business rule validation,metric comparisons, duplicate checks, JSON Schema monitoring, and file feed check.
-
Amazon Redshift: Track table-level data quality, monitor data volume anomalies, and validate ingestion processes.
Use Cases: volume checks, schema monitoring, freshness validation, aggregate comparison and completeness checks.
-
Google BigQuery: Monitor your data for quality, completeness and schema validations across large-scale analytical datasets.
Use Cases: aggregated metric testing, data completeness, business rule validation, and schema drift.
-
MS SQL Server: Monitor and detect data quality issues, duplicate entries, table structure changes, and validate business-critical KPIs.
Use Cases: query result compare, business rule validation, duplicate checks, quality checks, and schema changes.
-
PostgreSQL: Monitor and validate source-to-target sync, monitor for nulls or outliers, and test business transformation rules.
Use Cases: query compare, business transformation rule testing, null value alerts.
-
MySQL: Monitor and detect data integrity issues, validate row counts, table structure changes, and validate business-critical rules.
Use Cases: data sync monitoring, record-level checks, structural changes.
-
Oracle: Monitor and detect data quality issues, duplicate entries, table structure changes, and validate business-critical KPIs.
Use Cases: query result compare, business rule validation, duplicate checks, quality checks, and schema changes.
-
Databricks: Monitor and detect data integrity issues, validate row counts, table structure changes, and validate business-critical rules.
Use Cases: volume checks, schema monitoring, freshness validation, aggregate comparison and completeness check.
Resolve Data Incidents with Speed and Precision
Ensure flawless data processes by identifying and resolving data discrepancies swiftly. DataRadar provides advanced tools for incident tracking, enabling efficient issue resolution and maintaining system accuracy. Here’s how DataRadar addresses key challenges:
- Detects data issues in real time before they escalate
- Measures and tracks data quality with custom validation rules
- Validates business rules in reporting datamarts automatically
- Monitors file loads across cloud data lakes (S3, GCP, Azure)
- Offers full visibility into pipeline health and performance
- Enables low-code/no-code validation with minimal resources
- Provides investigative tools for smooth data migration
- Alert driven ticket creation in systems like Jira, ServiceNow etc.
Stay Informed Instantly with Actionable Notifications
Never miss a critical data event. DataRadar delivers real‑time alerts through your preferred channels—Teams, Slack, Email, and more—so you’re always in the loop and ready to act, wherever you are.
Ensure Data Reliability – See DataRadar in Action
Eliminate uncertainty and take control of your data operations with DataRadar’s end-to-end monitoring, validation, and incident resolution tools. From detecting quality issues early to delivering real-time alerts and deep insights, DataRadar empowers your team to act fast and with confidence.
See how DataRadar keeps your data reliable – book your personalized demo today.
Request a Demo