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Agentic AI: Enterprise-Grade Confidence and Cloud-Native Performance

Akka and MotherDuck have joined AI by the Bay this year — and not by accident. We invited them precisely because their technologies embody the core values we champion: reliability at distributed scale, cloud-native simplicity, and enterprise-grade confidence.


The Evolution of AI Infrastructure


As AI evolves from static models to autonomous agents, organizations face new infrastructure challenges. These agentic systems operate in real-time, reason contextually, and adapt over time. This evolution introduces unpredictability into execution and increases demands on underlying systems.


Meeting these requirements at scale demands a solid foundation. This foundation must provide operational and behavioral guarantees while delivering fast, reliable analytics without adding complexity.


Today, forward-looking enterprises are building with two such pillars:

  • Akka, to build, run, and evaluate agentic systems at a distributed scale.

  • MotherDuck, for modern analytics powered by DuckDB and enhanced with enterprise-grade capabilities.



Akka — Operational Certainty for Autonomous Workflows


Akka brings a proven concurrency model into the era of intelligent systems. Its actor-based architecture, extended with purpose-built modules for agentic AI, enables companies to run complex, distributed workflows that are both reliable and adaptable.


Each component addresses a core requirement of modern AI systems:


Akka Component

Enterprise Outcome

Akka Orchestration

Supports sequential, parallel, and human-in-the-loop agent workflows with failure tolerance

Akka Agents

Encapsulated, goal-directed behavior exposed via HTTP/gRPC interfaces

Akka Memory

In-memory, durable, and sharded context with sub-millisecond read/write latency

Akka Streaming

Continuous ingestion and processing across real-time, ambient, and edge data sources


These components work together to help teams meet complex SLAs around availability, latency, safety, and recovery, even when underlying models are non-deterministic.


“We re-architected an agentic system 12 times — until we moved to Akka.”

Source: global consulting organization


With Akka, engineering teams can innovate 3X faster with ⅓ the compute. They can create resilient agentic systems, which are critical for deploying LLM-powered applications in business-critical environments.



MotherDuck — SQL Analytics with Enterprise Guarantees


MotherDuck extends the core of DuckDB — a lightweight, in-process OLAP engine — with the features and scalability necessary for enterprise adoption. MotherDuck remains true to DuckDB’s simplicity while addressing the operational needs of real-world data platforms.


The result is a cloud-native analytics service that integrates easily into modern stacks and scales without complexity.


DuckDB Foundation

MotherDuck Enterprise Capabilities

Embedded SQL engine with OLAP performance

Elastic scaling from local notebooks to cloud clusters

Lightweight and portable

Enterprise security features including RBAC, audit logging, and SOC2 compliance

Sub-second queries on Parquet, Arrow, and CSV

DuckLake: distributed storage with snapshotting and time travel

Built-in notebook and Python support

CI/CD integration, observability hooks, and SRE-grade reliability


MotherDuck is not a fork of DuckDB. It is a production-focused layer on top of it. It adds scale, governance, and operational observability, turning DuckDB into a fully managed enterprise analytics backend.


With MotherDuck, teams can run analytics workflows that are fast, versioned, and fully reproducible — across environments, without the overhead of traditional data warehouses.


“Two things draw a crowd these days: AI and MotherDuck.”

Where DuckDB made OLAP accessible to every developer, MotherDuck makes it operationally viable for any enterprise.



A Cohesive Stack for Agentic Systems


Akka provides behavioral certainty for agentic systems. MotherDuck provides data integrity and analytical clarity at scale. Together, they support:


  • Distributed multi-agent orchestration with SLA guarantees.

  • Cloud-native, SQL-based analytics with enterprise reliability.

  • Integration into modern CI/CD and Infrastructure-as-Code workflows.


At this year’s AI by the Bay, where the synergy between agentic execution and analytical simplicity is on full display, conference founder Alexy Khrabrov noted:


“Agents are half actors. Akka makes them reliable. MotherDuck keeps their analytics effortless.”

As agentic systems become core to enterprise architecture, Akka and MotherDuck offer a proven path to production — fast, resilient, and built for scale.



 
 
 

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