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](https://raft.github.io/) 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

Data Model

Relational Document / XML

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

Indexes

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](https://www.elastic.co/products/elasticsearch).

System Architecture

Shared-Disk

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SequoiaDB Logo
Website

http://www.sequoiadb.com

Source Code

https://github.com/SequoiaDB/SequoiaDB

Tech Docs

http://doc.sequoiadb.com/cn/sequoiadb

Developer

SequoiaDB Corporation

Country of Origin

CN

Start Year

2011

Project Type

Commercial, Open Source

Written in

C++

Supported languages

C, C#, C++, Java, PHP, Python

Compatible With

MySQL, PostgreSQL, Spark SQL

Operating Systems

Linux

Licenses

AGPL v3

Wikipedia

https://en.wikipedia.org/wiki/SequoiaDB

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