Airy: Open Source Data Streaming Platform
Airy helps software and enterprise companies manage data streams to support AI agents. It is designed for teams that need to combine live data streams with historical data for continuous monitoring.
At a glance
- Category
- Data & Analytics
- Best for
- Software companies, Enterprise companies, Developers, Data engineering teams
- Pricing
- Airy offers three tiers: Airy Core (Open Source), Airy Enterprise (Subscription), and Airy Cloud (Fully Managed). Pricing for paid tiers was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Continuous System Monitoring, Real-time Data Pipelines, Self-Serve AI/BI, Multi-Agent AI Orchestration
- Integrations
- Apache Kafka, Apache Flink, Vector Databases
- Official website
- airy.co/
Airy is a data streaming platform designed as an AI layer for enterprise data, using Apache Kafka and Apache Flink as its foundation. It is built for developers and organizations that need to integrate data sources with machine learning models and AI agents.
The platform supports event-driven architecture, which helps AI agents monitor data streams and trigger actions based on detected patterns. It also provides tools for data lineage and governance to help AI agents understand enterprise data sets through AI-generated metadata.
Buyers should confirm the technical requirements for deployment. Depending on the tier—ranging from the open-source core to managed cloud services—the level of support and available features such as Smart Flink SQL and end-to-end encryption will vary.
Key Features
Connects data sources to stream information in real time using Apache Kafka.
Provides infrastructure for AI agents to monitor data streams and trigger actions.
Uses Flink for complex event processing and real-time data jobs.
Generates and indexes metadata to help AI agents understand the structure and origin of enterprise data.
Designed to allow business users to query complex data sets using natural language.
Supports multi-agent AI systems that react to events in real time.
Use Cases
Using AI agents to monitor real-time data streams to detect service disruptions and suggest solutions.
Building pipelines that bridge operational systems and analytics by orchestrating real-time jobs.
Supporting business users in accessing complex data sets via natural language interfaces.
Deploying multiple AI agents that communicate via governed approval workflows.
Best For
Integrations
Pricing
Airy offers three tiers: Airy Core (Open Source), Airy Enterprise (Subscription), and Airy Cloud (Fully Managed). Pricing for paid tiers was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
Airy is used to build real-time data pipelines and provide an AI layer that allows AI agents to monitor data streams and trigger actions.
Yes, Airy offers a core version available under the Apache 2.0 license.
Airy Core is an open-source framework. Airy Enterprise is designed for self-hosted scale with added security and management features, while Airy Cloud is a fully managed service.
Source category: Data & Analytics
Source subcategory: Data Integration
