DragonflyDQ is an agentic data quality platform that puts data quality control in the hands of subject matter experts. It features AI agent Sara for conversational data exploration, built-in BI, anomaly detection, and proactive monitoring.

What databases does DragonflyDQ support?

DragonflyDQ supports any JDBC-compatible database including PostgreSQL, MySQL, Oracle, SQL Server, Snowflake, BigQuery, Redshift, Databricks, ClickHouse, MariaDB, Azure SQL, Azure Synapse, and more.

What is the Data Confidence Rating?

The Data Confidence Rating (DCR) is a quality score that propagates across connected data nodes. When quality drops in one place, the impact is reflected across every downstream report, dashboard, and decision.

DragonflyDQ | Agentic Data Quality & BI Platform

Meet Sara

Your AI data agent

Talk to your databases, build dashboards, explore quality metrics. All through conversation. Sara writes the queries, renders the charts, and lets you verify every step.

Talk to Any Data Source

Query databases, datasets, or your quality metrics in plain English.

Agentic BI

Pin charts to dashboards. Visit later, see latest data. Question to dashboard in one conversation.

Full Transparency

Every chart shows its query. Modify and regenerate live. No black boxes.

File Intelligence

Upload a file, chat with it. Sara writes code, applies changes, you download the result.

Sara

Show me order volume trends for the last 90 days

Here's the trend. 23% increase since last quarter, driven mostly by the APAC region.

Add this to my Sales dashboard

Done! Pinned to "Sales Dashboard". It will refresh with latest data on each visit.

Ask Sara anything...

Chart Query Pin

+23% vs last quarter

✓ Added to "Sales Dashboard"

Data Confidence Rating

"Like a ripple in a pond. It diminishes in amplitude but travels all the way to the edge, never forgetting it was disturbed."

When data quality drops in one place, DragonflyDQ's Data Confidence Rating propagates across every connected node. Every downstream report, dashboard, and decision carries the true cost of bad data. Proactive, not reactive.

Agentic Quality Intelligence

We don't use AI to check quality.
We use AI to decide what quality should be.

25+

Detection algorithms

6

Algorithm categories

100%

Pure deterministic scoring

Statistical and probabilistic models for distribution-based anomalies

Proximity-based detection for outlier identification in clusters

Deep learning models including autoencoders and neural network based detection

Ensemble methods combining multiple detectors for robust results

Configure through conversation with Sara. No ML expertise required

AI guides the what. Deterministic algorithms verify the results. No hallucinated scores.

Data Quality Monitoring

Everything you need to trust your data

Proactive monitoring, quality scoring, pipeline control, and alerting. With detailed analytics that rival SonarQube for code quality.

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Confidence Scores

Every dataset is rated and tracked over time. Watch quality trends per component, check, and pipeline. Like SonarQube for data.

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Pipeline Gates

Auto-halt pipelines when quality drops below your threshold. Stop bad data before it reaches downstream systems.

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Rules & Templates

Pre-built quality rules library plus custom templates. Apply a template across similar datasets. Same checks, same expectations, everywhere.

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Clone & Reuse

Clone checks across components and datasets. Build once, apply many. Save time when onboarding new data sources.

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SME Control

Subject matter experts configure quality right from the browser. No engineering bottleneck, no dev cycles. Like Google Tag Manager, for data quality.

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Alerts Everywhere

Slack, Teams, email, PagerDuty, OpsGenie, Datadog, WhatsApp, Discord, SMS, webhooks, and more. Get notified the moment something goes wrong.

Built-in BI

Explore, visualize, and assess. All in one place

A full-featured BI tool embedded inside DragonflyDQ. Build dashboards on your data and your quality metrics. Explore, visualize, assess, and QA under one roof.

See it in action

Integrations