The Alibaba Cloud Elasticsearch (ES) engine-enhanced edition strengthens complex queries, elastic scaling, and large-scale data storage through a proprietary retrieval kernel, storage engine, and managed write service. Match each advanced enhancement to your workload by query latency, write scale, data retention period, and resource cost.
Advanced enhancements
Advanced enhancements are enabled on demand. Supported instance versions vary by feature; see the purchase page for details. The following table describes the enhancements covered in this topic, how each one works, and how it is billed.
| Feature name | How it works | Billing |
| Indexing Service | Suits log retrieval and time-series metric analysis with high write TPS, large write-traffic fluctuations, and low query QPS. Based on a read/write splitting architecture, Indexing Service forwards writes to a cloud service for index building to offload write pressure from your cluster. Cloud write resources scale automatically. For details, see Introduction to the Indexing Service series. | Charged for actual write traffic. |
| OpenStore log enhancement (OpenStore intelligent hybrid storage (log analysis) engine) | Suits log retrieval, metric analysis, and data archiving with large-scale long-term storage needs, low query QPS, and relatively high tolerance for query latency. Based on a storage-compute separation architecture, OpenStore log enhancement tiers data automatically by query frequency, with no need to configure index lifecycles. For details, see OpenStore Storage Engine (Log Analytics). | Charged for actual OpenStore storage space used. |
References
For open source features available in each version, see Features by version.
To create an Alibaba Cloud ES instance, see Create an Alibaba Cloud Elasticsearch cluster.