Cloud Search Service (CSS)

Fast Retrieval

Gain insights from terabytes of data in milliseconds and use our visualization platform for data display and analysis.

Scalable Online

Request clusters and scale them online with no service interruptions.

Effortless O&M

A fully-managed, out-of-the-box service backed by our expert teams. Routine operations take just a few clicks.

Strong Kernel

A fast, affordable vector search engine, with decoupled compute and storage and isolated read and write.

Recommended Configurations

Recommended Configurations

  • Basic Cluster
  • Medium Cluster
  • Advanced Cluster

Why Cloud Search Service?

Compatible with Elasticsearch

Compatible with Elasticsearch

  • Native Elasticsearch APIs and other software in the ecosystem can be used, such as Logstash, Beats, and Kibana.

  • A few simple configurations can allow you to smoothly connect to multiple data sources, such as FTP servers, OBS buckets, HBase, and Kafka. No extra coding is required.

  • You can custom your dictionaries. Modified settings take effect immediately without system restart.

  • You can trigger snapshots manually or on a periodic basis for backup and restore snapshots.

Strong Kernel

Strong Kernel

  • Import performance has been enhanced. The log write performance is improved by 50%.

  • The aggregation analysis is faster. The performance of sorting field-based statistical analysis is improved by 200%.

  • Supports decoupled storage and compute, reducing the cold data storage cost by 80%.

  • Supports ZSTD compression, reducing the data storage space by 20%.

Effortless O&M

Effortless O&M

  • One-click cluster application, capacity expansion, and restart from small-scale testing to large-scale rollout

  • The intelligent O&M module detects potential cluster risks, provides risk handling suggestions, and reports alarms.

Enhanced Semantic Search

Enhanced Semantic Search

  • Pangu models support industry-leading performance of text vectorization.

  • The cost-effective vector search engine developed by Huawei is No.1 in ANN-Benchmarks.

Use Cases

Site Search
Site Search

Search by keyword and get website recommendations.

Advantages
Real-Time Retrieval

New content can be retrieved within minutes, or even seconds after updates.

Categorized Statistics

Search results are categorized, for instance, by product type.

Custom Highlighting

You can define how search results are highlighted.

Related Services
All-Scenario Log Analysis
All-Scenario Log Analysis

CSS can be used to analyze logs in all scenarios, including ELB logs, server logs, container logs, and application logs. Kafka serves as the message buffer queue in peak and off-peak hours. Logstash is responsible for data ETL.

Elasticsearch is responsible for data retrieval and analysis, and Kibana displays the data to users in a visualized manner.

Advantages
Lower Costs

CSS uses Kunpeng computing power, separates cold and hot storage, and decouples compute from storage resources, achieving higher performance with 30%+ lower costs.

Easy-to-use

You can easily create reports using drag-and-drop components.

Quick Processing

CSS can import hundreds of terabytes of data per day and can process petabytes of data.

Database Query Acceleration
Database Query Acceleration

E-commerce and logistics companies have to respond to a huge number of concurrent order queries within a short period of time.

Relational databases, despite having good transaction atomicity, have weak transaction processing capabilities and can use CSS to enhance OLTP and OLAP capabilities.

Advantages
High Performance

Retrieve data from hundreds of millions of records within milliseconds. Text, time, number, and spatial data types are supported.

Highly Scalable

CSS can be scaled to have over 200 data nodes and over 1,000 data columns.

Zero Service Interruption

Rolling restarts and dual-copy systems do not cause service interruptions when specifications are changed or configurations updated.

Related Services
Vector Search
Vector Search

Perform nearest neighbor search (NNS) or approximate nearest neighbor search on unstructured data, including images, videos, and corpuses.

Advantages
High Reliability

Enjoy high search performance and strong disaster recovery capabilities provided by Huawei-developed vector search engine.

Diverse Indexes

Choose from a wide range of index algorithms and proximity measures to meet your business needs.

High Compatibility

CSS is fully compatible with the open-source Elasticsearch syntax and ecosystem.

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