QuerySurge +
AWS Redshift & DynamoDB
QuerySurge validates data moving into and out of
AWS Redshift and DynamoDB - ensuring your cloud data
is accurate, consistent, and analytics-ready
Why QuerySurge + AWS Redshift & DynamoDB
AWS powers modern analytics pipelines with Redshift for cloud data warehousing and DynamoDB for high-speed NoSQL workloads. But as data flows between structured and unstructured systems, ensuring data integrity can be a major challenge.
QuerySurge solves this by providing continuous, automated validation across AWS services, comparing data from sources to Redshift and DynamoDB targets, and validating downstream analytics in BI platforms.
How It Works
Direct Connectivity
- Redshift: Connect QuerySurge directly via JDBC to Redshift clusters.
- DynamoDB: Validate JSON and NoSQL data using connectors or export-to-structuredformats.
- Hybrid Testing: Compare structured + semi-structured/NoSQL data across AWS services.
End-to-End Data Validation
- Compare raw source data → Redshift staging → curated schemas.
- Validate DynamoDB tables against sources, APIs, or downstream Redshift loads.
- Confirm transformations, aggregations, and joins are accurate across both systems.
CI/CD & DevOps Integration
- Run QuerySurge tests as part of AWS Data Pipeline, Glue, or Step Functions.
- Trigger validations automatically in CI/CD tools (Jenkins, GitHub Actions, AWS CodePipeline).
- Enforce data quality gates before data lands in BI dashboards.
Reporting & Compliance
- Rich dashboards with row, cell, and column-level detail.
- Visual analytics highlight failures in real time.
- Audit-ready reporting for governance and compliance.
Key Benefits
Benefit |
Why It Matters |
|---|---|
End-to-End Trust |
Ensure accuracy from ingestion through analytics |
Redshift + DynamoDB Coverage |
Validate across relational + NoSQL workloads |
Catch Issues Early |
Detect mismatches, schema drift, and missing data |
Scale at Cloud Speed |
Validate millions of rows in parallel |
Audit & Compliance |
Generate proof of testing for regulators |
Ideal Use Cases
- Cloud Data Migration: Validate data when moving workloads into AWS Redshift/DynamoDB.
- Hybrid Architectures: Ensure data quality across relational (Redshift) + NoSQL (DynamoDB).
- Analytics Validation: Confirm BI dashboards match data in Redshift.
- Regulated Industries: Maintain data quality and compliance for finance, healthcare, andgovernment workloads.
Ensure AWS Data is Analytics-Ready.
Automate testing across Redshift and DynamoDB, speed releases, and deliver trustedcloud insights.
QuerySurge will help you:
- Leverage AI to quickly and easily increase test coverage
- Easily validate data with our no-code, low-code features
- Continuously detect data issues in your CI/CD pipeline
- Use powerful analytics to uncover insights and root causes
- Provide a huge ROI
But don’t believe us (or our clients). Try it for yourself.
Check out our free trials and great tutorial.
