Lindorm Search Engine is a managed search service for large-scale data workloads. It provides low-cost index storage, cloud-native elastic scaling, and high availability (HA)—supporting use cases such as site search, order queries, log analysis, and APM (application performance monitoring).
Core capabilities
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Low cost
Multiple compression algorithms reduce index storage costs. A hot-and-cold data tiering mechanism offloads historical data to lower-cost storage while keeping frequently accessed data fast.
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Cloud-native elasticity
Built on a storage-compute disaggregation architecture, the service scales replicas up or down rapidly to absorb traffic spikes without over-provisioning.
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High availability
A distributed HA design eliminates single points of failure. Intelligent anomaly detection triggers automatic fencing and service degradation to maintain cluster stability.
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Rich ecosystem
Access data using standard SQL statements—no proprietary query language required.
Use cases
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Multi-field queries
Store large volumes of tracking records and retrieve order details by querying across multiple fields simultaneously. Suitable for logistics and order management workloads.
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Geolocation search
Store vehicle passage records and retrieve entries by combining conditions such as license plate numbers and geographic coordinates. Suitable for traffic monitoring and location-aware applications.
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Text search
Store large volumes of text and return matching results by phrase. Suitable for product catalogs and content platforms where users search for exact products or documents.
Service activation
To activate the Search Engine service, see the Activation guide.
User guide
The Search Engine supports access through standard SQL and web-based operations. For more information, see Manage index tables.