DBMS > AriaSQL vs. EJDB vs. Tigris

System Properties Comparison AriaSQL vs. EJDB vs. Tigris

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Editorial information provided by DB-Engines

Name

Description

AriaSQL is a relational database server. Implements ANSI SQL.

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

A horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure

Primary database model

Relational DBMS

Document store

Document store
Key-value store
Search engine
Time Series DBMS

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

Score	0.12
Rank	#339	Overall
	#47	Document stores

Score	0.06
Rank	#352	Overall
	#50	Document stores
	#53	Key-value stores
	#23	Search engines
	#35	Time Series DBMS

Website

ariasql.com
github.com/ariasql

github.com/Softmotions/ejdb

www.tigrisdata.com

Technical documentation

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

www.tigrisdata.com/docs

Developer

Softmotions

Tigris Data, Inc.

Initial release

2024

2012

2022

Current release

Alpha development phase

License

Commercial or Open Source

AGPL

Open Source

GPLv2

Open Source

Apache Version 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Server operating systems

server-less

Linux
macOS
Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

string, integer, double, bool, date, object_id

yes

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.

Secondary indexes

yes

SQL

Support of SQL

APIs and other access methods

in-process shared library

CLI Client
gRPC
RESTful HTTP API

Supported programming languages

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

Go
Java
JavaScript (Node.js)

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

typically not needed, however similar functionality with collection joins possible

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Read/Write Locking

yes

Durability

Support for making data persistent

yes

yes, using FoundationDB

User concepts

Access control

Access rights for users and roles

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