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Database Entry

SequoiaDB

SequoiaDB is a distributed relational database with a storage layer and a computing layer.[05][06]

Website
https://www.sequoiadb.com/en/[01]
Source Code
https://github.com/SequoiaDB/SequoiaDB[02]
Tech Docs
https://doc.sequoiadb.com/cn/sequoiadb[03]
Developer
Country of Origin
CN
Start Year
2011 [10]
Project Types
Commercial, Open Source
Written in
C++
Supported Languages
C, C#, C++, Java, PHP, Python
Compatible With
MySQL, PostgreSQL, Spark SQL
Operating System
Linux
License
AGPL v3
Wikipedia
https://en.wikipedia.org/wiki/SequoiaDB[04]

The storage layer is a database storage engine that uses the Raft algorithm to achieve data consistency across a distributed environment.

The computing layer consists of relational database instances such as a MySQL instance, semi-structured data access instances such as via JSON APIs, and/or unstructured data storage model instances such as with AWS S3.

Key features of SequoiaDB include

  • Distributed OLTP with availability and consistency guarantees
  • Petabyte-level horizontal scalability
  • Hybrid Transactional / Analytical Processing (HTAP)
  • 2-region 3-data-center recovery mechanisms

Database Entry

SequoiaDB

SequoiaDB is a distributed relational database with a storage layer and a computing layer.

The storage layer is a database storage engine that uses the Raft algorithm to achieve data consistency across a distributed environment.

The computing layer consists of relational database instances such as a MySQL instance, semi-structured data access instances such as via JSON APIs, and/or unstructured data storage model instances such as with AWS S3.

Key features of SequoiaDB include[05][06]

  • Distributed OLTP with availability and consistency guarantees
  • Petabyte-level horizontal scalability
  • Hybrid Transactional / Analytical Processing (HTAP)
  • 2-region 3-data-center recovery mechanisms

Data Model[07][08]

Relational Document / XML

SequoiaDB supports relational, semi-structured (e.g. JSON), and unstructured (e.g. POSIX file) data storage.

Indexes[08][09]

B+Tree

Indexes in SequoiaDB use conventional B-trees. An index has the following fields:

  • name: a unique name for the index on the data collection
  • key: a JSON object that defines the indexing criteria and direction
  • unique: an optional flag, default false, indicating if the indexing fields must be unique fields on the data collection
  • enforced: an optional flag, default false, only effective if unique is set to true, indicating if the indexed fields must not be NULL

In addition to regular indexes, SequoiaDB supports full-text searching via Elasticsearch.

System Architecture

Shared-Disk
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Citations

10 sources
  1. SequoiaDB sequoiadb.com
  2. GitHub - SequoiaDB/SequoiaDB: SequoiaDB 巨杉数据库是一款分布式文档型数据库，自研的原生分布式存储引擎支持完整ACID，具备弹性扩展、高并发和高可用特性，并以文档型 JSON 的半结构化数据格式为基础，兼容S3对象数据引擎接口，进一步形成Multi-Model多模数据处理能力，可支持跨结构化、半结构化和非结构化的多模数据处理。适用于历史数据平台、全量数据平台、实时数据中台和内容数据管理平台等各类应用场景。 · GitHub github.com
  3. SequoiaDB 简介_文档中心_SequoiaDB巨杉数据库 sequoiadb.com
  4. SequoiaDB - Wikipedia wikipedia.org
  5. SequoiaDB sequoiadb.com Dead — Check Archive
  6. 整体架构_SequoiaDB 简介_文档中心_SequoiaDB巨杉数据库 sequoiadb.com
  7. 产品概述_SequoiaDB 简介_文档中心_SequoiaDB巨杉数据库 sequoiadb.com
  8. SequoiaDB 简介_文档中心_SequoiaDB巨杉数据库 sequoiadb.com
  9. 索引_数据模型_系统架构_文档中心_SequoiaDB巨杉数据库 sequoiadb.com
  10. SequoiaDB sequoiadb.com
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