Overview
Stream Compute Service is an enterprise-grade real-time big data analytics platform built on Apache Flink, delivering robust capabilities for businesses. It offers comprehensive development tools, seamless integration, ultra-low latency, cost-effectiveness, stringent security measures, and exceptional stability. These features empower businesses to extract maximum value from their data and expedite the transition to real-time data processing.
Benefits
One-Stop Development
Access comprehensive development and operational capabilities through WebIDE or API integration. Conduct graphical development across various programming languages, and manage metadata, dependencies, and deployment processes. Additionally, perform code debugging, monitor operations, set metric alarms, and utilize intelligent diagnosis functionalities.
Seamless Connection
Effortlessly integrate with widely-used data services such as message queues, databases, and data warehouses, as well as incorporate self-built open-source big data components. Expand the range of connectors to interface with diverse external data systems as required, while ensuring seamless compatibility with Apache Flink for streamlined migration to cloud environments.
Sub-Second Latency
Efficiently handle hundreds of thousands of records per second per CPU core, achieving an end-to-end latency of under one second. Additionally, support tens of thousands of concurrent large-scale, real-time computing tasks.
Low Costs
Lower your per-core computing expenses to mere cents per hour through the utilization of cutting-edge proprietary server technology. Allocate resources according to real-time business demands, resulting in significantly more cost-efficient operations compared to self-built computing systems based on IDC infrastructure.
High Security and Stability
Resource environments are compartmentalized based on space and process, ensuring the security of tenant data through fine-grained access control offered by the account system. Failover procedures can be swiftly executed within seconds, ensuring adherence to a 99.9% SLA.
Expert Service
Access comprehensive end-to-end solutions and round-the-clock operational support services provided by our team of seasoned experts.
Scenarios
Gaming
Finance
Ecommerce
Manufacturing
Education
The rapid growth of the mobile internet has fueled significant expansion within the gaming sector. With the ongoing emergence of new game categories and genres, game developers are increasingly prioritizing enhanced user engagement through advanced data operations. Stream Compute Service enables real-time, sophisticated data analysis to support this objective.
As the finance sector continues to merge with the internet, Stream Compute Service facilitates extensive big data analysis. This analysis enhances marketing, monitoring, reporting, risk management, and profiling throughout all facets of the finance industry.
The e-commerce sector is intricately intertwined with the internet, yielding extensive data on customers, vendors, and supply chains. By mining and analyzing this data, service providers can efficiently align products with customer preferences, optimize supply chain operations, and improve warehouse efficiency. Stream Compute Service empowers businesses to conduct real-time analysis of large datasets.
The conventional manufacturing sector accumulates substantial data across production, quality control, management, and sales operations, often remaining underutilized and unregulated. Leveraging big data analytics for real-time monitoring, scheduling, alarming, and intelligent data analysis can significantly boost the efficiency of traditional manufacturing processes and facilitate the timely identification of production flaws. Stream Compute Service plays a pivotal role in advancing Industry 4.0 through its robust real-time analytics capabilities.
The education sector inherently requires advanced data analytics capabilities. Real-time big data analytics empower educators to cater to each student’s individual needs effectively, facilitating more efficient delivery of personalized instruction.
FAQs
What is a CU?
A Compute Unit (CU) represents the computing resources allocated by the Stream Compute Service, with each CU comprising 1 CPU core and 4 GB of memory. Stream Compute Service fees are determined by the number of CUs utilized.
What is real-time stream data?
As users navigate websites or apps, their activities are continually recorded into logs. Likewise, gamers generate consistent streams of recorded data during gameplay. This continuously produced data is known as real-time stream data. Analyzing this data allows for real-time business monitoring and the swift identification of new opportunities.
What are the strengths of stream computing over batch computing?
Batch computing necessitates gathering all data before initiating complex computations, which can take hours to a full day. Conversely, stream computing processes data in near real-time without the need for complete data collection, making it ideal for real-time business monitoring and the discovery of new opportunities.
Can the JAR job mode be connected to self-built services?
Yes, you can access your self-hosted services, such as Druid and Kafka, via a peering connection.
What are fine-grained resources?
Fine-grained resources refer to computing units smaller than 1 CU (less than 1 CPU core and 4 GB of memory). Stream Compute Service supports four CU specifications: 0.25 CU, 0.5 CU, 1 CU, and 2 CU. You can configure different specifications for JobManager and TaskManager. For configurations of 0.25 CU and 0.5 CU resources, please contact us.
Compute
Edge Computing
Container
Distributed Cloud
Microservice
Serverless
Essential Storage Service
Data Migration
Data Process and Analysis
Relational Database
NoSQL Database
Enterprise Distributed DBMS
Database SaaS Tool
Networking
CDN and Edge platform
Network Security
Data Security
Application Security
Endpoint Security
Business Security
Security Services
Security Management
Domains & Websites
Office Collaboration
Enterprise Applications
Data Analysis
Image Recognition
Face Recognition
Voice Technology
AI Platform Service
Natural Language Processing
Optical Character Recognition
Internet of Things
Message Queue
Middleware
Communication
Interactive Video Services
Stream Services
Media On-Demand
Media Process Services
Media SDK
Cloud Real-time Rendering
Game Services
Game Video Service
Education Services
Blockchain Service
Building Services
Cloud Resource Management
Management and Audit Tools
Developer Tools
Monitor and Operation
Education