DBMS > AgensGraph vs. Alibaba Cloud TSDB vs. EJDB vs. MySQL vs. Sequoiadb

System Properties Comparison AgensGraph vs. Alibaba Cloud TSDB vs. EJDB vs. MySQL vs. Sequoiadb

Editorial information provided by DB-Engines

Name

Description

Multi-model database supporting relational and graph data models and built upon PostgreSQL

A stable, reliable, and cost-effective online high-performance time series database service

Embeddable document-store database library with JSON representation of queries (in MongoDB style)

Widely used open source RDBMS

NewSQL database with distributed OLTP and SQL

Primary database model

Graph DBMS
Relational DBMS

Time Series DBMS

Document store

Relational DBMS

Key/Value like access via memcached API

Document store
Relational DBMS

Secondary database models

Document store
Spatial DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.23
Rank	#315	Overall
	#26	Graph DBMS
	#140	Relational DBMS

Score	0.29
Rank	#301	Overall
	#26	Time Series DBMS

Score	0.31
Rank	#296	Overall
	#44	Document stores

Score	1061.34
Rank	#2	Overall
	#2	Relational DBMS

Score	0.50
Rank	#258	Overall
	#41	Document stores
	#120	Relational DBMS

Website

bitnine.net/agensgraph

www.alibabacloud.com/product/hitsdb

github.com/Softmotions/ejdb

www.mysql.com

www.sequoiadb.com

Technical documentation

bitnine.net/documentation

www.alibabacloud.com/help/en/time-series-database/latest/what-is-tsdb

github.com/Softmotions/ejdb/blob/master/README.md

dev.mysql.com/doc

www.sequoiadb.com/en/index.php?m=Files&a=index

Developer

Bitnine Global Inc.

Alibaba

Softmotions

Oracle

since 2010, originally MySQL AB, then Sun

Sequoiadb Ltd.

Initial release

2016

2012

1995

2013

Current release

2.1, December 2018

8.4.0, April 2024

License

Commercial or Open Source

Open Source

Apache License 2.0

commercial

Open Source

GPLv2

Open Source

GPL version 2. Commercial licenses with extended functionallity are available

Open Source

Server: AGPL; Client: Apache V2

Cloud-based only

Only available as a cloud service

yes

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Implementation language

C and C++

C++

Server operating systems

Linux
OS X
Windows

hosted

server-less

FreeBSD
Linux
OS X
Solaris
Windows

Linux

Data scheme

depending on used data model

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes

Numeric data and Strings

yes

string, integer, double, bool, date, object_id

yes

oid, date, timestamp, binary, regex

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

with proprietary extensions

SQL-like query language

APIs and other access methods

Cypher Query Language
JDBC

HTTP REST

in-process shared library

ADO.NET
JDBC
ODBC
Proprietary native API

proprietary protocol using JSON

Supported programming languages

C
Java
JavaScript
Python

Java

Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

.Net
C++
Java
PHP
Python

Server-side scripts

Stored procedures

yes

proprietary syntax

JavaScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

no, but can be realized using table inheritance

none

horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

none

Multi-source replication
Source-replica replication

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

typically not needed, however similar functionality with collection joins possible

yes

not for MyISAM storage engine

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

not for MyISAM storage engine

Document is locked during a transaction

Concurrency

Support for concurrent manipulation of data

yes

Read/Write Locking

yes

table locks or row locks depending on storage engine

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Access managed on TSDB instance level

Users with fine-grained authorization concept

no user groups or roles

simple password-based access control

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