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What is Redpanda Agentic Data Plane?

Redpanda is an enterprise-grade data streaming and governance platform designed to power AI agents safely across complex data environments. Its Agentic Data Plane gives agents secure, centrally managed access to real-time streams and historical data across cloud, on-prem, and hybrid systems. Redpanda unifies hundreds of data sources into a single plane, providing agents with full operational context. A unified SQL layer enables querying of live streams and Iceberg tables through one consistent interface. Built-in governance enforces identity, authorization, and policy controls without requiring application code changes. Every agent action, decision, and model execution is recorded in a transparent, immutable audit trail. Sessions can be replayed to debug issues, verify compliance, and improve system behavior. Secure gateways and sandboxes mediate all interactions with enterprise systems. Redpanda supports open standards, enabling integration with SaaS tools, data lakes, and existing infrastructure. It is optimized for mission-critical workloads that demand low latency and high reliability. By combining performance, safety, and observability, Redpanda makes agentic AI production-ready. It helps enterprises move from fragmented data chaos to trusted, governed AI automation at scale.

What is Navarch?

Navarch acts as the command hub for teams leveraging AI coding agents, facilitating the simultaneous strategizing, development, evaluation, quality assurance, and deployment of real software across various repositories. As you oversee priorities, manage budgets, and set up approval checkpoints, every task is meticulously logged on an append-only ledger that captures its pull request, before-and-after images, and a distinct review, enabling you to evaluate the work based on tangible evidence instead of navigating through diffs. Your repositories are hosted on GitHub, and your agents have the capability to function on your infrastructure or ours, offering versatility in your development setup. This efficient workflow significantly boosts collaboration and accountability among development teams, ultimately leading to more successful project outcomes. By harnessing these tools, teams can enhance their agility and responsiveness to changes in project requirements.

Media

Media

No images available

Integrations Supported

Agent2Agent (A2A)
Amazon Redshift
Amazon Web Services (AWS)
Apache Flink
Apache Kafka
Databricks
Elastic Cloud
GitHub
Google Cloud BigQuery
Google Cloud Platform
Looker
Microsoft Azure
Model Context Protocol (MCP)
MongoDB
Oracle Cloud Infrastructure
PostgreSQL
RabbitMQ
Redpanda
Snowflake
Splunk Cloud Platform

Integrations Supported

Agent2Agent (A2A)
Amazon Redshift
Amazon Web Services (AWS)
Apache Flink
Apache Kafka
Databricks
Elastic Cloud
GitHub
Google Cloud BigQuery
Google Cloud Platform
Looker
Microsoft Azure
Model Context Protocol (MCP)
MongoDB
Oracle Cloud Infrastructure
PostgreSQL
RabbitMQ
Redpanda
Snowflake
Splunk Cloud Platform

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Redpanda Data

Date Founded

2019

Company Location

United States

Company Website

www.redpanda.com/agentic-data-plane

Company Facts

Organization Name

SagentLab

Company Website

sagentlab.com

Categories and Features

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