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Axoniq Conference 2025 Day 1 | Query Your Event Store in Seconds: Axoniq Insights Live Demo
Watch Marc Klefter and Stefan Dragisic unveil Axoniq Insights, a revolutionary analytics platform that lets you query your event store using natural language and SQL—without building projections. See live demonstrations of AI-powered analysis, privacy-preserving queries, and millisecond response times on real event data.
Watch Marc Klefter and Stefan unveil Axoniq Insights, a revolutionary analytics platform that lets you query your event store using natural language and SQL—without building projections. See live demonstrations of AI-powered analysis, privacy-preserving queries, and millisecond response times on real event data.
🎯 Featured Speakers:
Marc Klefter - Solutions Architect, Axoniq
Stefan Dragisic - Software Engineer, Axoniq
🔥 What is Axoniq Insights?
A specialized analytics node for Axon Server that transforms your event store into a queryable data lake:
Ad hoc queries without creating projections
Natural language to SQL powered by AI
Parquet format for optimized column-oriented storage
DuckDB embedded SQL engine
Privacy modes to control data exposure to LLMs
Sub-second query performance on millions of events
💡 Key Features Demonstrated:
Analytics Capabilities:
Query events across multiple Axon contexts
Column-oriented storage for lightning-fast retrieval (11ms queries!)
DuckDB SQL dialect with full query capabilities
Event replication from primary cluster to analytics node
Near real-time data synchronization
Semantic layer for business context
AI-Powered Insights Agent:
Two modes: Privacy (schema only) & Full Access (with data)
Auto-complete with syntax highlighting
Automatic query generation from natural language
Self-debugging and error correction
Multi-step analysis and summarization
Extract JSON/XML data from events
Statistical analysis and reporting
Enterprise Features:
MCP (Model Context Protocol) server for custom agents
Agent-to-agent communication support
Row-based security (coming soon)
Custom LLM provider configuration
GDPR-compliant privacy controls
Integration with PowerBI, Tableau, and BI tools
JDBC/ODBC connectors (planned)
🎯 Real Demo Use Case: Bike Rental Analysis
Live queries demonstrated:
Which location has the most rentals?
Which days are most popular for bike rentals?
Analyze bike cancellations by city (10% cancellation rate found)
Identify renters with multiple cancellations
Customer journey analysis for potential fraud detection
⚡ Performance Highlights:
8-11 milliseconds for complex aggregations
100,000+ events queried in under 2 seconds
10x-100x faster than traditional projection approaches
Near real-time replication from primary cluster
Column-oriented storage only loads required fields
🔐 Privacy & Security:
Privacy Mode:
✅ LLM sees only schema (no actual data)
✅ GDPR-compliant operations
✅ Safe for sensitive information
✅ Query generation without data exposure
Full Access Mode:
✅ AI sees results for better analysis
✅ Multi-step reasoning
✅ Deeper insights and summaries
✅ Customer journey reconstruction
🏗️ Architecture:
Primary Cluster (Your Apps)
↓ Event Replication
Analytics Node
↓
Parquet Storage (Columnar Format)
↓
DuckDB SQL Engine
↓
Semantic Layer + Ontology
↓
Insights Agent (AI) + MCP Server
↓
Your Queries / Custom Agents / BI Tools
🔗 Resources:
Try Early Access: https://platform.axoniq.io (click “Analyze”)
Documentation: https://docs.axoniq.io