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: