We’re thrilled to announce that AutoMQ and Tigris are joining forces to redefine the future of cloud-native real-time data infrastructure—helping enterprises turn massive data into instant value.

As digitalization and globalization accelerate, real-time data has become the backbone of business innovation and competitiveness. Traditional data architectures, however, often hit bottlenecks in both performance and cost, making it difficult to support cross-region, high-growth workloads.

To address these challenges, AutoMQ’s 100% Kafka-compatible streaming engine is now integrated with Tigris’s globally distributed, S3-compatible object storage —together enabling a next-generation Diskless Kafka platform that is efficient, scalable, and cost-effective.

About AutoMQ

AutoMQ is a next-generation Kafka-compatible streaming platform built on a cloud-native architecture. Its core innovation lies in the compute-storage separation design: the compute layer can scale elastically on demand, while the storage layer leverages object storage (such as S3 or Tigris) for durability and cost optimization. This architecture significantly reduces total ownership costs while enhancing data reliability.

The platform is fully compatible with Apache Kafka , enabling seamless migration from existing Kafka clusters without any application changes. AutoMQ offers a fully managed service that automates scaling, monitoring, permissions, and enterprise-grade security configurations—greatly simplifying operational overhead.

AutoMQ supports multi-cloud deployments across AWS, Azure, Google Cloud, and others, delivering low-latency, high-throughput, and highly available real-time data infrastructure. With these capabilities, AutoMQ helps organizations in finance, e-commerce, internet, and manufacturing rapidly build efficient, low-cost real-time data pipelines and accelerate data-driven innovation.

💡 Core Advantages

• Significant Cost Reduction : Through compute-storage separation and object storage, AutoMQ dramatically lowers resource idle time and inter-zone traffic costs—reducing overall Kafka cluster costs by up to 90% .

• Real-Time Lakehouse Support : Natively integrated with Iceberg, AutoMQ enables real-time lakehouse architecture, allowing second-level data freshness and eliminating complex ETL workflows for analytics.

• 100% Kafka Compatibility : Supports all Kafka features and ecosystem tools like strimzi and Kafka Connect, ensuring seamless migration without performance degradation—enabling organizations to fully benefit from a cloud-native architecture.

• Effortless Operations : Scaling operations are reduced from 43 hours to just 10 seconds, and partition reassignments are complete within seconds. The system automatically manages nodes, balances load, and self-heals, minimizing human intervention and enabling a true zero-ops experience.

About Tigris

Tigris is a cloud-native, globally distributed, S3-compatible object storage platform purpose-built for AI and real-time workloads. It automatically places data close to users across regions, delivering low-latency access and eliminating the complexity of manual replication and caching.

Tigris supports the S3 API natively , allowing developers to use existing tools and SDKs by simply updating the endpoint—enabling seamless migration across clouds. Its multi-tier storage architecture dynamically balances performance and cost based on access patterns, ensuring high throughput and reliability at minimal expense.

For AI scenarios that involve frequent access to small objects—such as embeddings and model slices —Tigris employs inlining, coalescing, and LSM-based caching techniques to deliver sub-second access latency and superior performance.

With these capabilities, Tigris goes beyond traditional object storage, providing a high-performance, cost-efficient data foundation purpose-built for next-generation AI and real-time workloads.

💡 Core Advantages

• Global Intelligent Distribution : Data is automatically placed and optimized across regions based on access patterns—no replication or cache configuration required—enabling low-latency access and infinite scalability.

• Low-Cost Data Access Architecture : With zero egress fees and tiered storage, Tigris minimizes data access and storage costs while maintaining high performance and reliability.

• S3 Compatibility and Seamless Integration : Works with existing S3 tools, SDKs, and workflows. Simply update the endpoint to connect across multi-cloud or hybrid environments.

• AI-Optimized Vector Storage : Delivers fast access to small AI-related objects—such as embeddings and model slices—providing high-performance data support for AI training, inference, and analytics.

How AutoMQ and Tigris Work Together

In modern cloud-native architectures, compute-storage separation, elastic scalability, and object storage have become essential foundations for real-time data infrastructure. AutoMQ’s stateless compute design, combined with Tigris’s globally distributed, elastic storage, introduces a new “Diskless” paradigm for Kafka , enabling efficient real-time data movement across the globe.

Three-Layer Architecture for Deep Integration

• Data Ingestion Layer

  AutoMQ supports ingestion from diverse real-time data sources—such as user activity, IoT devices, and log streams—while remaining fully compatible with Kafka clients and streaming frameworks. Through compute-storage separation, streaming data is written directly to Tigris object storage without intermediate caching, ensuring high throughput and strong consistency.

• Storage Layer

  Tigris provides persistent storage and global data management with built-in redundancy and availability. Data is intelligently distributed closer to the access region, reducing cross-region latency. Multi-tier storage optimizes performance and cost, while zero egress fees dramatically cut cross-cloud and cross-region expenses.

• Operations & Elasticity Layer

Both AutoMQ and Tigris are fully cloud-native and support multi-cloud or hybrid deployments. AutoMQ elastically scales compute resources with workload demand, while Tigris’s serverless model ensures storage scalability and high availability. Together, they enable stable, self-healing real-time pipelines with minimal operational burden.

What It Brings

• Global Kafka Services : The combination of AutoMQ and Tigris enables unified, real-time data streaming across regions and clouds—breaking down geographical and infrastructure barriers.

• Extreme Cost Efficiency : AutoMQ’s compute-storage separation and stateless broker architecture significantly reduce Kafka’s operational and infrastructure costs, while Tigris’s zero egress fees and tiered storage further cut cross-region and multi-cloud data access expenses. Together, they maximize cost efficiency without compromising performance.

• High Compatibility and Seamless Migration : Both platforms support the S3 API, allowing enterprises to connect existing applications instantly and migrate workloads smoothly without downtime.

• Simplified Management : With cloud-native automation and elasticity, AutoMQ + Tigris delivers auto-scaling and self-healing capabilities, ensuring operational simplicity and stability for real-time data infrastructure.

Looking Ahead

AutoMQ and Tigris will continue to deepen their technical integration, enhancing the performance, elasticity, and scalability of Diskless Kafka. Together, they are driving the evolution of global, cloud-native real-time data infrastructure , empowering enterprises to accelerate the transformation from data to value.

Want to Learn More?

👉 Explore AutoMQ’s real-time data platform and see how it reshapes streaming at scale.

👉 Discover Tigris’s global data management solutions to power your cross-region performance.