Benefits
This topic describes the benefits of the different editions of OpenSearch.
Industry Algorithm Edition
Intelligent | Flexible and customizable | Secure and stable |
Offers a rich set of built-in, customizable algorithm models and provides industry-specific retrieval and ranking algorithms. These are tailored to the search patterns of different industries to ensure optimal search performance. | Developers can customize algorithm models, application structures, data processing, query analysis, and ranking configurations to meet specific business requirements. This allows you to fulfill personalized search needs, improve click-through rates, and shorten development cycles. |
|
Auto scaling | Rich features | Out-of-the-box |
Provides auto scaling, allowing you to scale resources up or down based on demand. | Supports a range of additional search features, including top searches, hints, drop-down suggestions, and report statistics, to help you visualize and analyze search data. | Provides a fully managed search service, eliminating the need to deploy or manage a cluster. |
High-performance Search Edition
High throughput | Secure and stable | Auto scaling | Out-of-the-box |
A single table can handle tens of thousands of write transactions per second (TPS), and updates take effect within seconds. |
| Provides auto scaling, allowing you to scale resources up or down based on demand. | Provides a fully managed search service, eliminating the need to deploy or manage a cluster. |
Vector Search Edition
Stable | Efficient | Cost-effective |
The underlying C++ engine has been production-hardened for over a decade and supports multiple core business services. Its stability makes it ideal for mission-critical search applications. | As a distributed search engine, it efficiently handles large-scale data retrieval and real-time data updates that take effect in seconds. This makes it ideal for applications that require low query latency and high data timeliness. | Supports multiple index compression strategies and multi-value index load tests, enabling you to meet query requirements at a lower cost. |
Vector algorithms | SQL query | |
Supports vector retrieval for various types of unstructured data, including voice, images, video, natural language, and behavioral data. | Supports SQL query syntax and online multi-table joins. It offers a rich library of built-in user-defined functions (UDFs) and allows for UDF customization to meet diverse retrieval needs. The operations and maintenance (O&M) system includes an integrated SQL Studio for SQL development and testing. | |
Retrieval Engine Edition
Stable | Efficient | Cost-effective |
The underlying C++ engine has been production-hardened for over a decade and supports multiple core business services. Its stability makes it ideal for mission-critical search applications. | As a distributed search engine, it efficiently handles large-scale data retrieval and real-time data updates that take effect in seconds. This makes it ideal for applications that require low query latency and high data timeliness. | Supports multiple index compression strategies and multi-value index load tests, enabling you to meet query requirements at a lower cost. |
Feature-rich | SQL query | |
Supports multiple analyzer types, various index types, and a powerful query syntax to meet a wide range of retrieval needs. It also provides a plugin mechanism to customize business logic. | Supports SQL query syntax and online multi-table joins. It offers a rich library of built-in user-defined functions (UDFs) and allows for UDF customization to meet diverse retrieval needs. The operations and maintenance (O&M) system includes an integrated SQL Studio for SQL development and testing. | |