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Lindorm:Scenarios

Last Updated:Mar 28, 2026

Lindorm is a cloud native multi-model database service developed by Alibaba Cloud. It supports the wide table model and the time series model through self-developed engines — a wide table engine, time series engine, and search engine — with compatibility for Apache HBase, Apache Phoenix, OpenTSDB, and Apache Solr. Lindorm provides capabilities such as SQL queries, time series data processing, and retrieval and analysis to store and analyze structured and semi-structured data. It handles both online and offline workloads, delivering millisecond-latency responses and scaling horizontally to petabytes of data at tens of millions of queries per second (QPS).

For guidance on selecting the right engine for your workload, see Engines.

Adoption within Alibaba Group

Lindorm powers mature, high-scale businesses across Alibaba Group, including IoT (Internet of Things), Taobao, Alipay, and Cainiao.

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Big data

As a data engineer or architect managing large-scale datasets — data warehouses, multi-source ingestion pipelines, or batch analytics workloads — Lindorm gives you a single store to ingest, query, and analyze petabytes of data. Synchronize full or incremental data, run real-time queries alongside bulk imports, and connect to Spark or MaxCompute for offline analysis.

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Advertising

As an ad-tech engineer building real-time bidding or targeted advertising systems, you need to store and query user personas, clickstreams, and advertising feeds at high concurrency with consistent millisecond latency. Lindorm is designed for this workload.

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Finance and retail

As a developer or architect at a financial institution or retailer, your applications — transaction ledgers and risk control engines — demand high concurrency, low latency, and strict data reliability. Lindorm stores transaction records and risk control data, including user activities, user personas, rule models, and device fingerprints, with the performance and availability these systems require.

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Internet of Vehicles (IoV)

As an engineer building connected-vehicle services — online ride-hailing, logistics dispatch, or new energy vehicle detection — you need to continuously ingest and query driving trajectories, vehicle status, and precise positioning data from large fleets. Lindorm scales to meet the burst ingestion and query demands that IoV (Internet of Vehicles) workloads generate.

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Online social networking

As a developer running a social platform, you need to store messages, comments, posts, and likes for large user bases — with high throughput, consistent availability, and low latency for feed rendering. Lindorm provides the scalability and reliability to power high-performance social feed systems.

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