Join Tacnode at Current 2025: Putting Context in Motion

Join Us in New Orleans

This October 29 and 30, the data streaming world converges in New Orleans for Current 2025, the premier event for real-time data and event-driven architectures hosted by Confluent.

From October 29–30, engineers, architects, and business leaders will gather to explore how streaming data is transforming analytics, AI, and the systems that power modern enterprises.

This year, Tacnode is proud to join as a sponsor—bringing our Context Lake platform to the forefront of that conversation.

Why 'Context in Motion' Matters

Every organization today is trying to bridge the same gap: the distance between where data is generated and where decisions are made. AI models, dashboards, and business processes all depend on live context—yet most systems still rely on data that's stale by the time it's used.

Tacnode was built to change that. Our Context Lake architecture unifies streaming, transactional, and historical data into a single, queryable system—one that can power analytics and AI workloads simultaneously.

Instead of maintaining separate systems for OLTP, OLAP, and streaming, Context Lake keeps everything in sync and instantly accessible through a PostgreSQL-compatible interface.

What to Expect at Booth #406

Live Demos: Instant Queries on Fresh Data. Experience sub-second queries on streaming datasets.

The Context Lake Walkthrough. Our team will guide you through the architectural core that makes it possible.

1-on-1 Conversations with the Tacnode Team. Meet the engineers who helped design the platform.

Swag, Giveaways, and Surprises. Stop by for limited-edition Tacnode merchandise.

Why You Should Stop By

Current has always been about what's next in streaming. And 2025 marks a turning point. As AI adoption accelerates, the boundary between 'data in motion' and 'data at rest' is dissolving.

The companies that thrive will be those that can make decisions on live, unified context. Tacnode's mission is to make that possible.

If you're building agentic AI systems, operational analytics, or real-time pipelines, we want to show you how Context Lake can make them instant at any scale.

Frequently Asked Questions