
Snowflake-native apps that keep your data mapped, monitored, and reconciled.
We believe leaders can only act with confidence when the data they rely on is trusted to be accurate. We provide the tools to ensure your Snowflake data pipelines are robustly aligned and unbroken. Meaning you can provide reliable, proven, decision ready data.
Accurate.
Complete.
Trusted.

Coming soon to Snowflake Marketplace...
The Mapper App is the first Snowflake Native App in our roadmap to a complete suite of data integrity tools.
What is Mapping?
Mapping is the linking codes or values from one system to the matching codes or values in another system, so data lines up and can be reported consistently.
Mapping is the foundation of cross-system consistency, which is essential to data integrity.
The Problem
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Codes change - new products, sites, categories, suppliers - every change risks inaccurate or missing data
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The typical workarounds, such as importing spreadsheets, are difficult to maintain and are not robust or scalable
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Manual matching is a chore - it can be slow, error-prone, and changes are not tracked
How Datarol's Mapper App solves the problem
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Easy to build mapping tables
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Detects new or changed codes automatically
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AI-assisted matching with batch approval
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Report Heading Tree - help build structured reports
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Notifications to alert you to potential issues

Data Integrity Solutions



Advanced Mapping Control
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Status page with overview highlighting new codes, stale matches, total matched
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Notifications - email, Slack, Teams
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Easy to build mapping tables - saved to physical tables in Snowflake
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Report Heading Tree - build structured reports
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Easy manual matching and approval
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AI powered matching - it learns what the source and target tables are and uses this to help determine the matches

Completeness and Exception Reporting
Assurance that your data is complete
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Status page providing overview and flagging issues
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Notifications - email, Slack, Teams
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Check for null values, duplicates, missing rows, errors on copy
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Incomplete/inconsistent mapping on joins
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Detect patterns and set thresholds
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AI powered detection with suggestions for rectification

Reconciliation Tool
Reconcile Snowflake data with the Source
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Load in files exported from the front-end of the source system
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Compare both source and target side by side
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Works with differing levels of granularity
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Drill into variances
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AI built-in to identify variances, investigate reasons and suggest code changes