Tacnode Context Lake is now available in the new AWS Marketplace AI Agents and Tools category
Helping usher in a new category of real-time AI solutions.
Helping usher in a new category of real-time AI solutions.
TL;DR: Tacnode Context Lake is now available in the new AI Agents and Tools category on AWS Marketplace. Customers can discover, buy, and deploy Tacnode using their AWS accounts — enabling millisecond-latency context for AI agents with unified SQL, vector, and text search, incremental materialized views, and MCP support.
Seattle, WA – July 16, 2025 – Tacnode, the company behind Tacnode Context Lake™—a unified data layer enabling millisecond-latency decisions for smarter agents at scale—today announced the availability of Tacnode Context Lake in the new AI Agents and Tools category of AWS Marketplace.
Customers can now use AWS Marketplace to easily discover, buy, and deploy AI agent solutions, including Tacnode's Context Lake, using their AWS accounts, accelerating agent and agentic workflow development.
Eliminate batch delays and fragile pipelines by unifying real-time ingestion, transformation, and query in one system.
Deliver fresh, low-latency context to AI agents and user-facing applications, enabling decisions in milliseconds.
Scale effortlessly across structured, semi-structured, and vector workloads—with PostgreSQL compatibility and full workload isolation.
Subsecond data ingestion and exposure of fresh data.
A unified query interface across SQL, vector, and text search.
Incremental materialized views for real-time context.
Support for model context protocol (MCP) for efficient agent interaction.
Tacnode is the company behind the Tacnode Context Lake™—a real-time, multi-modal database built for the AI era. More than a unified data layer, it creates a foundation for emergent intelligence—enabling AI systems to reason, adapt, and act with live context.
Teams use it to build responsive, context-aware applications that were previously impractical with traditional stacks. The platform is trusted by leaders in financial services, AI infrastructure, ecommerce, manufacturing, and IoT.

Former Meta and Microsoft. Built distributed query engines at petabyte scale. Author of the Composition Impossibility Theorem (arXiv:2601.17019).
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