Analytics
Explore Tacnode Context Lake's real-time analytics capabilities, from streaming aggregations to interactive dashboards. This demo shows how to build operational intelligence pipelines that deliver insights in milliseconds, not hours.
Overview
Real-time analytics enables immediate decision-making. Tacnode's analytics engine processes streaming data and serves interactive queries simultaneously—no batch jobs, no data delays.
Topics Covered
- •Streaming aggregations and continuous queries
- •Window functions: tumbling, sliding, and session windows
- •Real-time dashboards and visualization
- •Time-series data handling and downsampling
- •Integration with BI tools (Tableau, Looker, Metabase)
Key Takeaways
- ✓Build dashboards that update in real-time, not on refresh
- ✓Process millions of events per second with sub-second latency
- ✓Eliminate the gap between data ingestion and analysis
- ✓Connect your existing BI tools to live data
Technical Highlights
- →Ingestion: 1M+ events/second per node
- →Query latency: P99 < 100ms for complex aggregations
- →Window support: Event-time and processing-time semantics
- →Connectors: Native Kafka, Kinesis, and webhook support
More Product Demos
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A full InfoQ session on why agents that demo beautifully struggle in production — what "context" actually means, why agents read data differently than people, and what an agent-ready data layer has to do.
Ready to get started?
Book a demo to see how Tacnode can power your real-time data infrastructure.