DIVE: Data Intellect Validation Engine
Unlock fast, scalable, and kdb-native data validation for modern trading data ecosystems.
What is DIVE?
Whether you’re handling real-time feeds or historical data, DIVE gives you the tools to catch issues early, automate checks, and deliver trust in your data—across the entire lifecycle.
Why DIVE?
Why DIVE?
Traditional data validation tools are often a poor fit for kdb+ environments — they’re either too slow, require expensive data conversion, or lack the scalability demanded by today’s data-driven financial services. DIVE is designed from the ground up for the realities of large-scale kdb+ systems, giving you:
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Native Speed: Validations run directly in kdb+, delivering performance up to 100x faster than Python-based alternatives.
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No More Data Conversion: DIVE works with your data as it is, eliminating the cost and risk of reformatting.
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Flexible Rule Construction: Build validation rules using an accessible “building blocks” approach, making it easy for both technical and non-technical users.
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Full Extensibility: Add new validation types, models, and metrics via configuration — no need to wait for product updates.
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Seamless Reporting: Integrate straightforward, actionable reports directly with your dashboards or reporting platforms.
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Scalable by Design: Multiple worker support per data source means DIVE grows with your data, not against it.
Built for Real Financial Data
DIVE comes with a full suite of out-of-the-box checks, including:
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Data availability checks
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Detection of missing data segments
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Null value identification
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Custom rule support (with Python fallback for specialized needs)
How It Works
Data Fetching
Directly access your data — no conversions required.
Validation Engine
Apply your rules, whether standard or custom.
Clear Reporting
Push results to dashboards, alerting platforms, or export as needed.
Flexible Deployment
Run at gateways, during loads, or as an independent validation service.