Tencent Cloud Elasticsearch Service (ES) is a fully managed, elastically scalable cloud-native service with enterprise-grade high availability, built on the open-source Elasticsearch engine. Fully compatible with the ELK stack, it is widely adopted for website search navigation, enterprise-level search, service log anomaly monitoring, and clickstream analytics across sectors, including internet, gaming, and internet finance.
Elasticsearch Service
A fully-manged AI-search, observability, and security service.
Overview
Benefits
Elastic Deployment
Tencent Cloud ES provides diverse node specifications to choose optimal instances based on data volume and query throughput. Customize node storage for different scenarios to minimize resource waste. Clusters support dynamic scaling to meet evolving business needs as data grows.
Ease of Use
Provision an ES cluster in minutes with simple configuration—no hardware deployment or software debugging required. Get user-friendly cluster Ops tools (via Kibana dashboards) and a full monitoring & alerting system for daily management needs.
Service Compabilitiy and Integration
Fully compatible with the ELK stack, covering the entire data lifecycle from ingestion to storage and consumption. Native RESTful APIs enable easy custom application development with business-tailored plugins and clients. ES also seamlessly integrates with Tencent Cloud ecosystem (COS, Flow Logs, CMQ, TencentDB) to deliver data transfer, backup, and other capabilities for diverse scenarios.
High Availability
Multi-node, multi-replica deployment enables intelligent faulty node detection and replacement. Mitigates data loss risks and ensures data security and service stability.
Security
Deployed in logically isolated VPCs, with full control over network ACLs and security groups. Access control via Kibana and IP allowlist/blocklist mechanisms protects cloud resources systematically.
Proprietary Kernel Capabilities
Tencent's proprietary kernel features circuit breaking & rate limiting, compression encoding, memory optimization, and read-write performance tuning. Integrated with Kona JDK, it significantly enhances cluster performance, stability, and cost-effectiveness. Tencent ranks among the world’s top third-party contributors to the open-source community.
Features
Data Collection and Synchronization
Aggregate and transfer real-time logs from other Tencent Cloud products (e.g., CVM, TencentDB) as well as full and incremental business data to ES clusters via dedicated data collection tools like Beats and Logstash. Supports distributed data storage, query, and analytics.
Data Storage
Offers multi-spec node models and high-performance SSDs to guarantee superior data read/write performance. Elastically scalable to hundreds of nodes, it supports petabyte-scale data storage to meet diverse business needs. Additionally, it automatically detects and replaces faulty nodes, ensuring high cluster availability.
Data Search, Analytics and Visualization
ES natively supports full-text search, structured queries, and data analytics. You can easily build custom search services via its RESTful API. The built-in Kibana component enables convenient browser-based data analytics and visualization, simplifying data insight extraction.
Scenarios
Log Analysis
Full-text Search
Analytics
Database Query Acceleration
Logs generated by web servers, mobile devices, IoT sensors, and other endpoints are inherently distributed across nodes, with varying types and volumes—posing major challenges for troubleshooting and business analysis via log search. With its elastically scalable, near-real-time centralized storage and full-text search capabilities, ES simplifies unified log management and querying, enabling users to quickly locate issues and boost troubleshooting efficiency.
Efficient information retrieval is essential for scenarios like e-commerce product searches, mobile app content queries, and internal organizational message searches. ES delivers robust full-text search with comprehensive support for both structured and unstructured data. It also provides RESTful APIs and multilingual clients, allowing you to rapidly build stable search services that seamlessly integrate with your existing business frameworks.
In a data-driven operational landscape, industries such as e-commerce, mobile applications, advertising, and media rely on in-depth statistical analysis and data mining to guide business decisions. However, the massive volumes of collected business data present significant processing challenges. ES supports structured queries, complex filtering, and aggregated statistics, empowering customers to conduct efficient, customized large-scale data analysis, identify issues and opportunities, inform business decisions, and fully unlock data value.
Relational databases are more optimized for transactional queries, and they tend to face challenges such as insufficient query performance and poor scalability in scenarios involving massive datasets. ES delivers elastic scalability and high-concurrency, low-latency query capabilities for large-scale data. It maintains real-time synchronization with databases via data synchronization tools and supports SQL functionality, fulfilling customers’ requirements for accelerated database queries and addressing the limitations of traditional relational databases.
Pricing
Tencent Cloud Elasticsearch Service (ES ) supports two billing models: subscription (for monthly/annual plans) and pay-as-you-go. When you create an ES cluster, the cost of two billing cycles will be frozen in your Tencent account. If your account does not have overdue payments, any unused amount will be refunded to you when you terminate the cluster. For details, refer to Billing Overview.