AWS Partner Network (APN) Blog
Powering Real-Time AI with Tacnode Context Lake on AWS
By: Xiaowei Jiang, CEO – Tacnode
By: Fei Lang, Principal Partner Solutions Architect – AWS
By: Yuantao Zhang, Senior Partner Solutions Architect – AWS
 |
| Tacnode |
 |
As artificial intelligence becomes embedded in business operations, organizations face a critical challenge: providing real-time context for AI decision-making. Tacnode Context Lake, built on AWS, addresses this challenge by enabling instant access to live, unified data for AI applications. This post explores how Tacnode’s innovative architecture leverages AWS services to deliver millisecond-latency context at enterprise scale.
The Challenge of Real-Time Context
The effectiveness of AI systems largely depends on the freshness of their underlying data. Enterprise organizations are discovering that even seconds of data latency can significantly impact decision quality and business outcomes. While substantial investments have been made in model optimization and inference speed, the critical challenge lies in data accessibility and freshness.
Current enterprise data architectures typically involve multiple integration layers, ETL processes, and replicated data stores, each introducing additional latency. This architectural complexity transforms what should be real-time operations into delayed responses, directly affecting business performance. The challenge is like a navigation system operating on outdated traffic data. While the routing algorithm may be sophisticated, its recommendations become suboptimal without current context.
The limitations of current solutions are particularly evident in high-stakes scenarios where every millisecond matters. Even modern data lakehouses, while excellent for analytical workloads, fall short of the real-time context needs of production AI systems. Organizations need a new approach that can unify data from diverse sources and make it instantly accessible for AI decision-making.
Introducing Tacnode Context Lake™
To address these enterprise challenges, Tacnode, an AWS Partner, has developed Context Lake, a purpose-built architecture that enables real-time context delivery for production AI systems. Context Lake represents a significant advancement in data architecture, specifically engineered to meet the demanding requirements of modern AI applications running on AWS.
At its core, Context Lake unifies disparate data sources into a consistent, always-fresh context layer that models, AI agents, and other AI systems can query instantly. This innovative architecture serves as an intelligent memory layer for enterprise AI applications, providing real-time data ingestion, transformation, and retrieval capabilities through a single, fully managed platform.
The solution delivers three key technical capabilities essential for production AI workloads:
- Unified context management with a consistent source of truth across all data sources
- Native PostgreSQL compatibility for seamless integration with existing applications
- Horizontal scalability supporting millions of events per second with sub-second latency
Deep Integration with AWS Services
Context Lake’s architecture leverages multiple AWS services to deliver enterprise-grade performance, security, and scalability. This deep integration with AWS infrastructure enables organizations to deploy production AI systems with confidence while maximizing their existing AWS investments.
The solution’s core AWS service integrations include Amazon Elastic Kubernetes Service (Amazon EKS) provides the orchestration layer for Context Lake’s microservices architecture, enabling elastic scaling and efficient resource utilization for varying AI workloads. AWS Graviton Processors deliver optimal price-performance for compute-intensive operations, while Amazon Simple Storage Service (Amazon S3) and Amazon Elastic Block Store (Amazon EBS) work in concert to provide a tiered storage architecture that balances cost efficiency with high-performance data access.
Security and governance requirements are addressed through comprehensive AWS Key Management Service (AWS KMS) integration, ensuring data encryption and access control meet enterprise standards. The solution is available through AWS Marketplace, streamlining procurement and deployment processes for AWS customers.
Tacnode Context Lake integrates with Amazon Bedrock to deliver real-time context to foundation models through Bedrock’s unified API. This integration enables applications to access fresh data with millisecond latency, eliminating stale data issues that commonly plague AI systems. Developers can now build applications that make dynamic decisions using up-to-date information across any foundation model available in Amazon Bedrock.
It also integrates with Amazon Bedrock AgentCore, providing context for AI agents in a secure, serverless environment. Through AgentCore Gateway and the Model Context Protocol (MCP), Context Lake maintains fresh context for complex multi-step tasks while handling persistent memory and authentication. This allows organizations to deploy production-ready AI agents that maintain accuracy and security at scale.
This architectural approach, built on native AWS services, enables organizations to:
- Deploy production AI systems without complex infrastructure changes
- Scale resources automatically based on workload demands
- Maintain enterprise-grade security and compliance
- Optimize costs through efficient resource utilization
Figure 1 illustrates how Context Lake utilizes AWS’s proven infrastructure to simplify the implementation of real-time AI systems while delivering reliable and scalable performance.
Figure 1 – Context Lake Built On AWS Architecture
The Technical Foundation
Tacnode’s architecture is built around four core capabilities to deliver instant context for AI applications. The data ingestion layer supports a wide range of sources, from relational databases to IoT streams. The transform engine processes data in real-time, while the query layer provides full SQL flexibility. Finally, the retrieval engine ensures millisecond-latency access even under heavy loads.
This integrated approach as shown in Figure 2, eliminates the need for complex data pipelines and multiple storage engines, significantly reducing operational overhead while improving performance.
Figure 2 – Real-time AI with Tacnode Context Lake on AWS
Business Benefits and Use Cases
For AWS customers, Tacnode Context Lake delivers compelling benefits across technical and business dimensions. Organizations can accelerate their AI initiatives while reducing infrastructure costs and complexity. The solution is particularly valuable for:
- AI-powered applications requiring instant decision-making
- Real-time fraud detection systems
- Dynamic personalization engines
- High-frequency trading platforms
- Interactive gaming and media services
Getting Started
Tacnode Context Lake is available through AWS Marketplace, offering a streamlined path to deployment. Organizations can begin with a proof of concept and scale seamlessly to production workloads, all while maintaining native integration with their existing AWS infrastructure.
To learn more about how Tacnode Context Lake can accelerate your AI initiatives, visit our AWS Marketplace listing or contact us for a technical consultation.
.
Tacnode – AWS Partner Spotlight
Tacnode is an AWS Technology Partner and one of the launch partners of AI Agents & Tools in AWS Marketplace. It brings first-of-its-kind unification of transactions, searches, and analytics into a single, centrally managed platform.