Validate Your Data.
Trust Every Number.
Automate source-to-target validation, data quality checks, and cross-database comparison across SQL Server, Oracle, MySQL, PostgreSQL, and Snowflake — with full reporting, saved test runs, and execution history.
- Cross-database validation in minutes
- Automated DQ checks: nulls, duplicates, ranges, timestamps
- HTML & PDF reports with execution trends
Connected simultaneously
HTML & PDF exports
Data validation is
still mostly manual.
Most teams reconcile source and target data in spreadsheets, running ad-hoc SQL queries and rebuilding the same validation scripts from scratch every sprint.
Manual comparison is slow
Engineers spend days writing queries to compare source tables with targets — time that should go toward building pipelines.
Excel validation is error-prone
Spreadsheet-based validation doesn’t scale. Copy-paste errors and formula mistakes create false confidence in data quality.
Cross-database testing is hard
Comparing SQL Server to Snowflake requires dialect-specific SQL and fragile scripts that break with every schema change.
Checks aren’t reusable
Teams rebuild the same validation logic repeatedly with no central repository of test cases to share across projects.
No reporting or history
When validations fail there’s no audit trail, trend data, or exportable reports to share with stakeholders.
Migration testing takes too long
Data migration projects run over schedule because validation cycles are slow, undocumented, and depend on a few key people.
One platform for all your
data quality needs.
VALISOLUTION replaces fragmented scripts, spreadsheets, and manual queries with a unified, reusable data quality framework your entire team can rely on.
- ✓Connect once, validate everywhere — simultaneously connect to SQL Server, Oracle, MySQL, PostgreSQL, and Snowflake.
- ✓Run 20+ data quality checks — null rates, duplicate counts, value ranges, timestamp bounds, and custom SQL.
- ✓Generate reports automatically — every execution produces HTML and PDF reports with pass/fail summaries and trend history.
- ✓Build institutional knowledge — save test cases, organize into test plans, and reuse configurations across environments.
Everything your data team
needs to validate with confidence.
Multi-Database Connectivity
Simultaneously connect to SQL Server, Oracle, MySQL, PostgreSQL, and Snowflake. Source and target can be any engine combination.
Source vs Target Validation
Compare datasets side-by-side. Identify source-only rows, target-only rows, and diff percentages with configurable tolerance thresholds.
Data Quality Checks
Run 20+ configurable DQ checks: null counts, null rates, distinct values, duplicates, min/max/avg, string lengths, timestamps, and custom SQL.
Test Plan Management
Build and save test plans.Reuse across test runs, environments, and projects.
Test Plans & Test Cases
Group test cases into plans and execute sequentially. Activate or deactivate tests. Share configurations across teams.
HTML & PDF Reports
Every execution auto-generates an HTML report and PDF summary with pass/fail status, row counts, and diff metrics.
Execution History & Trends
SQLite-backed history with trend views at plan and test-case level. Track pass rate over time and diff percentage trends.
Row-Level Comparison
Row-level comparison on mapped columns with configurable sample strategies: top N, random, or full dataset.
Custom SQL Validation
Write your own validation SQL against any connected engine. Define expected results, thresholds, and expression-based pass/fail conditions.
Metadata Explorer
Browse schemas, tables, views, and column types across any connected engine. Preview row samples and inspect PKs.
TestRail Integration
Optional: validate case IDs, auto-add missing cases, and push pass/fail results directly into TestRail test runs.
Secure & Self-Contained
Authentication-gated access, SQLite local persistence, no external cloud dependency. Credentials stay in your own environment.
From connection to report
in four steps.
Connect Your Databases
Enter credentials for source and target. VALISOLUTION connects simultaneously to all supported engines with live status confirmation.
Configure Test Plans & Test Cases
Create and manage test plans with detailed test cases. Define SQL queries at the test case level to compare source vs target data or validate expected results for specific scenarios.
Run Validations
Execute single tests, saved runs, or entire test plans. See row counts, DQ metrics, diff summaries, and breakdowns in real time.
Review Reports & Trends
Download HTML and PDF reports. Export to CSV or Excel. Review execution history and compare pass rates over time.
See VALISOLUTION
in action.
Click any screenshot to view it full-size.
See the platform
running live.
Watch how a data engineer connects to Oracle and Snowflake, runs a full source-to-target validation, and generates a PDF report — in under five minutes.
Where teams
deploy VALISOLUTION.
Data Migration Testing
Validate every table migrated from Oracle or SQL Server into Snowflake or PostgreSQL. Catch row count discrepancies before go-live.
Source vs Target Reconciliation
Reconcile operational databases with analytics warehouses on a scheduled or ad-hoc basis. Identify data drift and missing records.
Report & Dashboard Validation
Verify that BI reports are backed by accurate source data. Compare report query outputs against authoritative tables to catch errors.
ETL/ELT Pipeline QA
Validate each transformation stage in your data pipeline. Run DQ checks post-load to confirm row counts and value ranges.
Data Warehouse QA
Continuously validate your Snowflake or PostgreSQL warehouse against staging layers. Catch dimension table issues systematically.
Pre-Release Validation
Before each release, run a full test plan to verify downstream data is unaffected. Generate sign-off reports automatically.
Cross-Platform Comparison
Compare data across different database engines without platform-specific SQL. Engine dialect differences are handled transparently.
Analytics Regression Testing
Re-run saved test plans after schema or pipeline changes. Track diff percentage trends and alert when thresholds are breached.
Built for the people who
own data quality.
Data Engineers
Stop writing one-off validation scripts. Configure reusable DQ checks and source-to-target comparisons as part of your standard pipeline workflow.
QA Engineers
A purpose-built tool for data testing. Build test cases, organize into plans, and integrate with TestRail without deep database expertise.
Analytics Engineers
Validate every dbt model, mart, and transformation layer against its source. Catch business logic errors before they reach stakeholders.
BI & Reporting Teams
Ensure your dashboard numbers match the source. Run column-level comparisons against production systems and document results.
Data Platform Teams
Standardize data quality across your platform. Run consistent checks across dev, QA, and prod with historical trending.
Consulting & Migration Teams
Deliver projects with evidence-backed validation reports. Demonstrate data completeness and accuracy to clients with confidence.
The ROI of
automated validation.
Teams adopting VALISOLUTION report faster validation cycles, fewer production incidents, and lower cost per migration project.
Reduce Manual Effort
Replace days of manual SQL comparison with automated runs completing in minutes.
Accelerate Test Cycles
Run full test plans with one click. No waiting on engineers to run scripts separately.
Improve Data Confidence
Stakeholders trust analytics more when there’s a documented, repeatable validation process behind the numbers.
Detect Issues Earlier
Catch row count discrepancies and null spikes in staging before they reach production.
Reuse Validation Assets
Save column test cases, and test plans. Reuse across sprints, environments, and projects.
Standardize Across Teams
Replace tribal knowledge with shared, auditable validation workflows that every team follows.
Enterprise data tools
built for your team.
All products are self-contained, require no cloud subscription, and work with your existing database infrastructure.
VALI Data Validator
Data Quality & Source-to-Target Validation
Automate data quality checks, source-to-target validation, and cross-database comparison across SQL Server, Oracle, MySQL, PostgreSQL, and Snowflake.
Data Lineage Visualizer
End-to-End Data Flow & Lineage Mapping
Visualize how data moves across systems, from source to report. Automatically trace dependencies.
Multi-Environment API Comparator
Cross-Environment API Response Validation
Compare API responses across environments (DEV, QA, PROD) in real time. Detect data inconsistencies, schema differences, and performance issues before they impact production.
Simple, transparent
pricing. No surprises.
One-time purchase. Includes the full application, all database connectors, and email support. No subscriptions.
Full application license with 1 month of email support. Perfect for individual data engineers and small teams.
- ✓ Full VALISOLUTION application
- ✓ All 5 database connectors
- ✓ All DQ checks & source vs target validation
- ✓ HTML & PDF reports
- ✓ Saved test runs & test plans
- ✓ Execution history & trends
- ✓ 1 month email support
- ✓ Lifetime updates for 1 year
🔒 Secure checkout • Instant download after payment • Invoice sent to your email
How do I receive the application after purchase?
After your payment is confirmed, Stripe or PayPal will redirect you to a download page and automatically you can use the download link. You’ll receive the full application installer as a ZIP file.
What payment methods are accepted?
We accept all major credit/debit cards (Visa, Mastercard, Amex) via Stripe, and PayPal. All payments are processed securely — we never store your card details.
Common
questions answered.
VALISOLUTION connects to SQL Server, Oracle, MySQL, PostgreSQL, and Snowflake. All five can be active simultaneously. Source and target can be any combination.
No. While migration testing is a core use case, it’s also used for ETL/ELT QA, warehouse validation, report verification, analytics regression testing, and any workflow requiring consistent cross-system data validation.
Select source and target tables, configure filters and sample strategies, then run the comparison. Results show row counts, diff counts, source-only rows, target-only rows, and diff percentage side by side.
Every execution generates a detailed HTML report with summary cards, DQ metrics tables, per-test-case results, and failure reasons. A PDF summary is also produced. Results can be exported to CSV and Excel.
Yes. In addition to 20+ standard DQ checks, you can write custom SQL validation queries with expected results, threshold values, and expression-based pass/fail conditions that combine with standard checks in a single run.
Yes. VALISOLUTION supports configurable sampling strategies (top N, random, full), pushes heavy operations to the database engines, and avoids loading full datasets into memory. Row-level comparison supports configurable sample sizes for large tables.
Yes, as an optional module. Configure TestRail credentials in Settings, link test cases to TestRail IDs, and push pass/fail results directly into a TestRail run. The platform works fully without TestRail configured.
Ready to validate
your data?
Ask about enterprise licensing, or tell us about your use case. We’ll respond within one business day.
Discuss team licensing, pricing, and enterprise use cases.