As organizations embrace Agentic AI to drive next-generation applications, the demands on data infrastructure are changing. Multi-agent systems thrive on constant context sharing, real-time decisions, and reliable coordination. To make this possible, the underlying event streaming platform should deliver uncompromising levels [JS1] of correctness. At the center of this requirement is exactly-once semantics, the assurance that every event is processed once and only once, no matter what failures occur in the system.

Why Exactly-Once Matters

In distributed systems, events are often retried, reordered, or delivered multiple times due to failures. Without strong assurances, this can lead to duplicated records, missed updates, or corrupted state. For databases, this means inconsistent financial transactions or incorrect business operations. For event streaming, it means cascading errors as duplicates ripple through real-time pipelines.

Agentic AI workloads intensify these challenges. Autonomous agents depend on evolving context to make decisions, and they often coordinate across many steps in near real time. A single duplicate or lost update can fragment shared memory, and may cause agents to diverge in reasoning, or trigger unintended actions. Providing [JS2] exactly-once delivery is therefore essential to maintain trust, reliability, and auditability in AI-driven systems.

Why Customers Choose Oracle TxEventQ

Organizations building agentic AI platforms are turning to Oracle Transactional Event Queues (TxEventQ) as a trusted foundation for reliable orchestration. Customers highlight several reasons why TxEventQ stands out:

  • Atomic integration of events and data
    TxEventQ uniquely ties event publishing to database transactions. Data changes and event emissions occur within the same transaction to keep the state and events consistent.
  • Exactly-once transactional delivery
    TxEventQ helps ensure messages are delivered and processed exactly once. Because messaging is backed by the database’s ACID properties, duplicates and missed deliveries are eliminated, even in the face of retries or system failures.
  • Ordering with scale
    TxEventQ preserves event order globally or by partition key while supporting high throughput. This means agents receive events in the right sequence without sacrificing performance.
  • Resilient error handling
    Messages are durably stored with full state tracking. Failed messages can be retried or routed to error queues, so that an event is not lost or left unprocessed.
  • Vast integration options
    With support for multiple languages and APIs—including Java, Python, PL/SQL, REST, and Kafka-compatible clients—TxEventQ integrates seamlessly into heterogeneous agentic AI ecosystems.

By combining transactional integrity with event streaming in a single, database-native platform, TxEventQ can simplify architectures, reduce points of failure, and provide the exactly-once semantics that modern AI workloads demand.

The Foundation for Agentic AI Orchestration

Agentic AI can offer transformative capabilities, but it relies on infrastructure that can keep pace with its complexity. Event streaming is the backbone of multi-agent orchestration, and exactly-once semantics is one safeguard that helps agents act more consistently and as intended.

With Oracle TxEventQ, organizations can scale agentic AI with confidence, knowing that every event is delivered once, processed once, and applied in consistency with their data.

 

 

Learn more at : https://www.oracle.com/database/advanced-queuing/

Explore Oracle TxEventQ hands-on in our Oracle LiveLab: https://livelabs.oracle.com/pls/apex/dbpm/r/livelabs/view-workshop?wid=1016

Here are some additional resources that will help you get started and build your event streaming platform using Oracle TxEventQ:

If you want to reach us, please contact support: https://support.oracle.com/ (Product – Oracle Database – Enterprise Edition, Problem Type>Information Integration>Advanced Queuing. (mention TxEventQ in the description.