Unlocking a New Era of Real-Time Data Architecture

We’re excited to announce a strategic partnership between AutoMQ and BladePipe, teaming up to simplify how businesses move data in real time.

Together, we’re offering a fully integrated solution that connects operational databases to real-time processing engines through a cloud-native, Kafka-compatible message pipeline and a fully automated CDC platform. The collaboration brings faster insights, lower costs, and a much smoother path to real-time analytics at scale.

About AutoMQ

AutoMQ is a next-generation Kafka distribution redesigned with a cloud-native architecture .It is now fully open source and remains 100% compatible with the Apache Kafka protocol—delivering up to 10× cost savings and 100× elasticity compared to traditional Kafka deployments. By leveraging a shared storage architecture, AutoMQ achieves true separation of compute and storage—bringing higher performance, stronger scalability, and significantly lower operational overhead. It is easier to deploy and manage in the cloud than conventional Kafka, making it an ideal Kafka alternative for cloud-native environments.

As an open source project, AutoMQ encourages developers and enterprises to freely use, deploy, and extend the platform—collaborating to build the next generation of real-time data infrastructure.

By decoupling compute and storage via a shared storage architecture, AutoMQ offers:

• Extreme Cost Efficiency – Compared to traditional Kafka deployments, reduce TCO by up to 90% with object storage and shared compute.

• Self-Balancing & Self-Healing : With built-in traffic-aware load balancing and automated recovery, AutoMQ eliminates hot spots and single points of failure—ensuring continuous service without manual intervention.

• Elastic Scaling in Seconds : AutoMQ scales on demand within seconds to add GB/s-level throughput capacity, enabling rapid response to traffic spikes or business surges.

• Fully Managed, Zero Ops : Features like automatic partition reassignment, elastic scaling, and state management simplify Kafka operations and enhance team productivity.

AutoMQ is committed to building the next-generation real-time data infrastructure. It empowers enterprises in scenarios such as financial risk control, intelligent operations, IoT data collection, and marketing analytics—enabling faster data responsiveness and smarter decision-making.

About BladePipe

BladePipe is a real-time end-to-end data integration tool, offering 40+ out-of-the-box connectors for analytics or AI. Built based on Change Data Capture (CDC) technique, BladePipe brings sub-second latency and high reliability. Designed for teams of all sizes, it provides a one stop data movement solution, including schema evolution, data migration and sync, verification and correction, monitoring and alerting. All is done automatically.

BladePipe offers unique features, including:

• Real-Time CDC: Built on a powerful CDC engine, BladePipe captures incremental data changes in real time, keeping end-to-end latency within seconds to ensure data freshness.

• End-to-End Pipeline : Move data from the source directly to the target, shortening the pipeline and facilitating O&M.

• One-stop solution : It enables zero-code setup for schema migration, DDL sync, data transformation, and full/incremental replication. All is done via an intuitive visual interface for easy operation and maintenance.

• Operational Stability: It features robust monitoring and alerting systems, along with built-in fault tolerance and resumable sync to ensure stability even during unexpected disruptions.

• Enhanced Data Consistency: It supports data verification and correction to guarantee data consistency and integrity, providing high-quality inputs for downstream systems.

• Flexible deployment: BladePipe is available in both BYOC and self-hosted deployment to meet the needs of teams of all sizes, across various security and compliance requirements. Adopted across industries like finance, gaming, energy, and pharma, BladePipe simplifies the complexity and reduces the cost of building real-time infrastructure at scale.

How AutoMQ and BladePipe Work Together

Traditional Kafka + custom CDC setups are often expensive, brittle, and hard to scale. Kafka clusters tend to be resource-intensive and prone to backlogs, while CDC tools require ongoing development and maintenance.

AutoMQ and BladePipe address these challenges through a fully integrated real-time streaming architecture:

• Data Capture Layer : BladePipe captures changes from a wide range of mainstream databases with high accuracy and sub-second latency.

• Messaging Layer : AutoMQ, with full Kafka compatibility, delivers high-throughput, low-latency, and elastic messaging that dramatically reduces infrastructure costs.

• Streaming Consumption : Platforms like Flink or ClickHouse consume AutoMQ data in real time—powering key use cases such as user profiling, risk control, and personalized recommendations.

The solution is fully compatible with existing Kafka clients, requiring no code or infrastructure changes.

Joint Application Scenarios

• User Behavior Analytics & Recommendations Capture behavioral events (clicks, views, purchases) via integrating data to BladePipe, stream to AutoMQ, and process with Flink to power real-time recommendations and BI dashboards.

• IoT Data Ingestion & Monitoring Sync real-time device telemetry from PostgreSQL to AutoMQ via BladePipe. Consumers generate KPIs, trigger alerts, or feed ML inference models for intelligent equipment management.

• Real-Time Risk Control & Transaction Monitoring Orders and payments flow through BladePipe and AutoMQ into real-time rule engines—enabling fraud detection, anomaly recognition, and risk scoring with millisecond latency.

What it brings

• Faster Insights : Cut data processing latency to sub-second levels, enabling timely responses to business events.

• Lower Cost : AutoMQ reduces Kafka infrastructure spend by 50%+, while BladePipe eliminates custom CDC development and maintenance overhead.

• Simplified Stack : Replace fragmented architectures with a unified data flow—from source to stream.

• Agile Innovation : Real-time metrics, faster experimentation, and rapid deployment of recommendation or risk engines.

With AutoMQ and BladePipe, teams can move faster, build smarter, and unlock the full potential of real-time streaming data.

Partnership and Future Outlook

The partnership between AutoMQ and BladePipe goes far beyond product integration. It’s a shared vision for the future of real-time data infrastructure. By combining high-performance, cost-efficient, cloud-native AutoMQ with automated, low-latency, and visualized BladePipe, we’re turning the idea of end-to-end real-time pipelines into reality.

Notably, AutoMQ offers a Table Topicfeature that goes beyond traditional Kafka. This allows data written to AutoMQ topics to be directly stored in S3 in Iceberg table format , eliminating the need for intermediate processing or ETL “bridge tables” and simplifying the entire data analytics workflow. To learn more, click: AutoMQ Table Topic .

Real-time data is becoming the new foundation of enterprise data capabilities. Moving forward, AutoMQ and BladePipe will continue deepening their collaboration across more enterprise scenarios—building faster, more resilient infrastructure and empowering data to become a true driver of business innovation.