On May 25th 2020, Alibaba Cloud announced the commercial launch of cloud-native multi-model database Lindorm, a cloud-native multi-model database service applicable for any scale. Lindorm is compatible with multiple open-source interfaces such as HBase, Phoenix, OpenTSDB, and Solr, supporting time series model, wide-column table model and queue model. It provides capabilities such as SQL query, aggregation computing, retrieval analysis, and serverless elasticity to realize the storage and analysis for structured, semi-structured and unstructured data, as well as shared storage for multi-model data.
All these capabilities make it the preferred choice of database for commercial, internet, IoT, social network, and online gaming applications. In fact, Lindorm has taken place of HBase in Alibaba Group to support the core business with a scale of hundreds of PB.
Lindorm supports high concurrency and multiple storage types with core capabilities as heterogeneous hybrid storage, automatic cold and hot separation, and high compression ratio.
Lindorm saves all the effort to manage servers and capacity levels, provides the separation of storage and Computing, and can automatically and elastically expand to PB-levels storage and tens of millions TPS.
As the core basic storage of Alibaba, Lindorm is designed based on a high-availability architecture to eliminate single point of failure (SPOF). It has successfully supported Double Eleven Shopping Festival for more than 10 years.
Compatible with a wide variety of open-source standard interfaces, Lindorm supports switching between open source systems and seamlessly connecting with multiple computing engines such as Spark, Flink, DLA, etc.
Wide-column table model and time series model are supported, as well as the storage and analysis of structured, semi-structured and unstructured data. It has significant performance in IoT scenario especially for the multi-model data store, computing and analytics of device metadata, device operation data (time series data), device logs, etc.
Wide-column table model and time series model are supported, compatible with various standard interfaces such as HBase, OpenTSDB, SQL, Solr, etc. With multi-model data sharing storage, the development of applications is more flexible and convenient.
In addition to meeting the characteristics of global distribution, strong consistency, on-demand index, and redundancy, Lindorm is also compatible with the schemaless model to accelerate non-primary key queries.
The built-in multi-model engine and search engine are integrated for the integrated use of storage and retrieval, and satisfy the needs of data storage, multi-dimensional query, full-text index and etc., in massive data scenarios requiring unified mixed access.
Automatic hot and cold data recognition, flexible adjustment of the hot and cold separation criteria, completely transparent to applications, which results in a great reduction of the cost of cold data storage and the better performance of hot data access.
Based on multi-copy technology with multiple availability zones, Lindorm supports the deployment of clusters across Availability Zones, performs automatic recovery of AZ-level failures, and ensures strong consistency of data; in addition, the ultimate consistent mode with advanced optimized performance/availability is available as an optional choice.
Lindorm can be seamlessly connected with storage computing systems such as Spark, Flink, MySQL, DLA, MaxCompute, etc., and allow simple and easy-to-use product experiences.
With the help of its own LDInsight tool, users can automatically diagnose common problems, such as slow requests, hot spots, performance diagnosis, capacity analysis, and schema design, etc., and provide processing suggestions and automatic resolving capabilities.
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