We’re excited to announce a new partnership between Ververica and AutoMQ! By combining our strengths in stream storage and processing, we deliver a more efficient, reliable, and cost-effective real-time data streaming solution, empowering enterprises to unlock the full potential of real-time data and build next-generation real-time applications .
In today’s data-driven world, businesses demand unprecedented speed and efficiency in data processing. Batch processing can no longer meet the urgent needs of scenarios such as real-time risk control, recommendation, and monitoring. Stream processing has become the inevitable choice—but its implementation still faces challenges, including limited data throughput, low elasticity, complex operations, and high Total Cost of Ownership (TCO).
By joining forces, AutoMQ and Ververica are tackling the challenges of real-time data streaming, enabling enterprises to build end-to-end pipelines with higher efficiency and lower cost.
AutoMQ is a cloud-native streaming data platform. Its core product, AutoMQ for Kafka, is 100% compatible with the Apache Kafka® API. With architectural innovations such as storage-compute separation and automated elasticity, AutoMQ enables extreme scalability while reducing costs by up to 90% . Positioned as the "central nervous system" for enterprise real-time data, AutoMQ delivers massive throughput and durable reliability to power mission-critical event streams.
Enterprises building real-time streaming architectures often face high infrastructure costs from overprovisioning, operational complexity in scaling stream processing jobs, and the challenge of meeting the strict latency requirements of applications such as financial risk control and personalized recommendations.
To solve these challenges, AutoMQ and Ververica have jointly launched an end-to-end cloud-native streaming solution:
Unified Architecture: At the storage layer, AutoMQ replaces legacy components with a fully Kafka-compatible messaging interface, persisting data into cost-efficient object storage (e.g., AWS S3). Its storage-compute separation and automated elasticity eliminate cost and scalability barriers in messaging. At the processing layer , Ververica delivers the full power of Apache Flink with enterprise-grade management and operations, simplifying the development and management of complex streaming jobs.
Seamless Integration: AutoMQ’s storage-compute separation ensures data durability and elasticity, while Ververica enables workload-aware scaling of Flink clusters. Both layers communicate natively without manual configuration, allowing enterprises to quickly build high-performance streaming pipelines.
This joint solution delivers not just technical synergy, but tangible business value across industries:
High Performance & Elasticity: Millisecond-level latency with second-level scaling in both messaging and computation—enabling enterprises to handle traffic spikes effortlessly.
Cost Efficiency at Scale: AutoMQ reduces messaging costs by up to 90% through object storage, while Ververica enhances developer and operator productivity, lowering overall TCO.
Operational Simplicity: Unified monitoring, diagnostics, and automated recovery streamline daily operations and reduce management overhead.
Developer Productivity: Developers can quickly build real-time applications using familiar Kafka APIs and Flink SQL, without rewriting existing code.
Reliability & Resilience: Durable data persistence with AutoMQ and fault-tolerant processing with Ververica ensure consistent business continuity even under failure scenarios.
The strategic partnership between AutoMQ and Ververica will continue driving enterprise digital transformation, delivering high-performance, cost-efficient, and easy-to-operate real-time data pipelines . These solutions empower mission-critical applications in domains such as financial risk control, real-time recommendations, and IoT.
This is just the beginning. Together, AutoMQ and Ververica will keep enhancing integration, optimization, and industry-focused solutions within a broader ecosystem.
Ready to explore these solutions for yourself?
Learn more about AutoMQ – fully Kafka-compatible for seamless streaming integration.