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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 distributed nodes.

The computing layer consists of relational database instances, which can be a MySQL instance, a semi-structured data access interface via, for example, JSON APIs, or an unstructured data storage interface with, for example, AWS S3.

Key features of SequoiaDB include distributed OLTP with availability and consistency guarantees, petabyte-level horizontal scalability, Hybrid Transactional / Analytical Processing (HTAP), and 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 distributed nodes.

The computing layer consists of relational database instances, which can be a MySQL instance, a semi-structured data access interface via, for example, JSON APIs, or an unstructured data storage interface with, for example, AWS S3.

Key features of SequoiaDB include distributed OLTP with availability and consistency guarantees, petabyte-level horizontal scalability, Hybrid Transactional / Analytical Processing (HTAP), and 2-region 3-data-center recovery mechanisms.[05][06]

Data Model[07][08]

Relational Document / XML

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

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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