DBMS > ArangoDB vs. InfinityDB vs. Oracle Coherence

System Properties Comparison ArangoDB vs. InfinityDB vs. Oracle Coherence

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Editorial information provided by DB-Engines

Name

Description

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

A Java embedded Key-Value Store which extends the Java Map interface

Oracles in-memory data grid solution

Primary database model

Document store
Graph DBMS
Key-value store
Search engine

Key-value store

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

Score	2.96
Rank	#89	Overall
	#15	Document stores
	#5	Graph DBMS
	#13	Key-value stores
	#10	Search engines

Score	0.01
Rank	#387	Overall
	#60	Key-value stores

Score	1.74
Rank	#131	Overall
	#22	Key-value stores

Website

arangodb.com

boilerbay.com

www.oracle.com/java/coherence

Technical documentation

docs.arangodb.com

boilerbay.com/infinitydb/manual

docs.oracle.com/en/middleware/standalone/coherence

Developer

ArangoDB Inc.

Boiler Bay Inc.

Oracle

Initial release

2012

2002

2007

Current release

3.11.5, November 2023

4.0

14.1, August 2023

License

Commercial or Open Source

Open Source

Apache Version 2; Commercial license (Enterprise) available

commercial

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++

Java

Server operating systems

Linux
OS X
Windows

All OS with a Java VM

Data scheme

schema-free

automatically recognizes schema within a collection

yes

nested virtual Java Maps, multi-value, logical â€˜tuple spaceâ€™ runtime Schema upgrade

schema-free

Typing

predefined data types such as float or date

yes

string, double, boolean, list, hash

yes

all Java primitives, Date, CLOB, BLOB, huge sparse arrays

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

manual creation possible, using inversions based on multi-value capability

SQL

Support of SQL

APIs and other access methods

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

Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/docs/ItemSpaceDataStructures.htm)

JCache
JPA
RESTful HTTP API

Supported programming languages

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

Java

.Net
C++
Java

Server-side scripts

Stored procedures

JavaScript

Triggers

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

Sharding

since version 2.0

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication with configurable replication factor

none

yes, with selectable consistency level

MapReduce

Offers an API for user-defined Map/Reduce methods

can be done with stored procedures in JavaScript

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

READ-COMMITTED or SERIALIZED

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

yes

relationships in graphs

manual creation possible, using inversions based on multi-value capability

Transaction concepts

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

ACID

Optimistic locking for transactions; no isolation for bulk loads

configurable

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

optionally

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

authentification to access the cache via certificates or http basic authentication

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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)

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Recent citations in the news

Graph Database Market Size is Projected to Reach USD 14.53
22 August 2024, GlobeNewswire

ArangoDB Unveils ArangoGraph Insights Platform
4 October 2022, Datanami

ArangoDB 3.5 update improves multi-model database platform
22 August 2019, TechTarget

ArangoDB raises $10 million for NoSQL database management
14 March 2019, VentureBeat

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

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