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Ascentstream

This company offers cloud-based messaging and stream processing solutions tailored for the Chinese market, built on Apache Pulsar. Their services enable businesses to modernize core systems and transition to the cloud using a comprehensive stream computing ecosystem.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Many organizations in China struggle to modernize their core systems and transition to cloud-native architectures due to the complexities of managing data flow and integrating disparate systems. Existing solutions often lack the performance, reliability, and compliance required for demanding financial applications and adherence to local technology standards.

Solution

AscentStream (谙流科技) provides a cloud-native messaging and stream processing platform built on Apache Pulsar, tailored for the Chinese market. The AscentStream Platform (ASP) delivers financial-grade, low-latency, and high-throughput message transmission, enabling unified data transfer and reliable multi-data-center solutions. It facilitates asynchronous decoupling of applications, efficient data aggregation, real-time data analysis with stream processing engines like Flink, and unified event messaging through a complete publish-subscribe functionality.

Target Audience

AscentStream targets enterprises in China, particularly those in the financial sector, seeking to modernize their data infrastructure, migrate to the cloud, and comply with local regulatory requirements.

Features

  • 100% compatibility with open-source Apache Pulsar, allowing zero-code modification for existing clients
  • Full support for Kubernetes (K8s) environments, facilitating cloud-native architecture upgrades
  • Unified platform for both online messaging and big data log streaming, reducing hardware, learning, and management costs
  • Comprehensive resource management and cluster operation services, including multi-cluster management and alarm monitoring
  • Fault-tolerant architecture with self-healing capabilities and rack-aware data replication for high data reliability
  • Multi-level resource structure with logical and physical isolation, topic-level permission verification, and rate control
  • Strong data consistency based on the BookKeeper consensus protocol, ensuring no data loss through multi-replica writing and synchronous disk brushing
  • High performance, supporting over ten thousand queries per second (QPS) in a single cluster
  • Support for various message types, including normal, sequential (global/partitioned), and timed messages, with message retry and dead-letter mechanisms
  • Compliance with domestic hardware and operating systems, along with certifications for local technology standards (信创)
This profile is AI-generated and may contain inaccuracies.