DBMS > ArangoDB vs. EsgynDB vs. SwayDB vs. Trafodion

System Properties Comparison ArangoDB vs. EsgynDB vs. SwayDB vs. Trafodion

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Editorial information provided by DB-Engines

Name

Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.

Description

Native multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.

Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion

An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage

Transactional SQL-on-Hadoop DBMS

Primary database model

Document store
Graph DBMS
Key-value store
Search engine

Relational DBMS

Key-value store

Relational DBMS

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

Score	3.09
Rank	#83	Overall
	#15	Document stores
	#5	Graph DBMS
	#11	Key-value stores
	#10	Search engines

Score	0.15
Rank	#325	Overall
	#145	Relational DBMS

Score	0.00
Rank	#385	Overall
	#60	Key-value stores

Website

Technical documentation

docs.arangodb.com

trafodion.apache.org/documentation.html

Developer

ArangoDB Inc.

Esgyn

Simer Plaha

Apache Software Foundation, originally developed by HP

Initial release

2012

2015

2018

2014

Current release

3.11.5, November 2023

2.3.0, February 2019

License

Commercial or Open Source

Open Source

Apache Version 2; Commercial license (Enterprise) available

commercial

Open Source

GNU Affero GPL V3.0

Open Source

Apache 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

C++, Java

Scala

C++, Java

Server operating systems

Linux
OS X
Windows

Linux

Data scheme

schema-free

automatically recognizes schema within a collection

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

string, double, boolean, list, hash

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

yes

APIs and other access methods

AQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream

ADO.NET
JDBC
ODBC

Supported programming languages

C#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust

All languages supporting JDBC/ODBC/ADO.Net

Java
Kotlin
Scala

All languages supporting JDBC/ODBC/ADO.Net

Server-side scripts

Stored procedures

JavaScript

Java Stored Procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

since version 2.0

Sharding

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication with configurable replication factor

Multi-source replication between multi datacenters

none

yes, via HBase

MapReduce

Offers an API for user-defined Map/Reduce methods

can be done with stored procedures in JavaScript

yes

via user defined functions and HBase

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

configurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)

Immediate Consistency

Foreign keys

Referential integrity

yes

relationships in graphs

yes

Transaction concepts

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

ACID

Atomic execution of operations

ACID

Concurrency

Support for concurrent manipulation of data

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

yes

fine grained access rights according to SQL-standard

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More resources

DB-Engines blog posts

The Weight of Relational Databases: Time for Multi-Model?
29 August 2017, Luca Olivari (guest author)

show all

Recent citations in the news

ArangoDB advances graph database fortunes with new funding
6 October 2021, TechTarget

Multimodel database company ArangoDB lands $10M in funding
14 March 2019, SiliconANGLE News

How to Build Knowledge Graph Enhanced Chatbot with ChatGPT and ArangoDB
30 June 2023, DataDrivenInvestor

Graph Database Market to grow at a CAGR of 19.9% from 2022 to 2027|Increased demand for low-latency queries is a major trend _ Technavio
7 August 2023, PR Newswire

15 Best Free Database Software for Data Management in 2024
19 September 2024, G2

provided by Google News

Apache Software Foundation Releases its 2019 Fiscal Year Report
17 August 2019, Open Source For You

Low-latency, distributed database architectures are critical for emerging fog applications
7 April 2022, Embedded Computing Design

provided by Google News

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