DBMS > ArangoDB vs. OmniSci

System Properties Comparison ArangoDB vs. OmniSci

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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 high performance, in-memory, column-oriented RDBMS, designed to run on GPUs

Primary database model

Document store
Graph DBMS
Key-value store
Search engine

Relational DBMS

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

Score	5.07
Rank	#69	Overall
	#11	Document stores
	#4	Graph DBMS
	#10	Key-value stores
	#8	Search engines

Score	1.76
Rank	#127	Overall
	#65	Relational DBMS

Website

www.arangodb.com

www.omnisci.com

Technical documentation

www.arangodb.com/docs/stable

docs.omnisci.com

Developer

ArangoDB Inc.

MapD Technologies, Inc.

Initial release

2012

2016

Current release

3.7.2.1, September 2020

5.5, January 2021

License

Commercial or Open Source

Open Source

Apache Version 2; Commercial license (Enterprise) available

Open Source

Apache Version 2; enterprise edition available

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.

ArangoDB Oasis –The Managed Cloud Service of ArangoDB. Oasis provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.

Implementation language

C++

C++ and CUDA

Server operating systems

Linux
OS X
Windows

Linux

Data scheme

schema-free

automatically recognizes schema within a collection

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

JDBC
ODBC
Thrift

Supported programming languages

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

All languages supporting JDBC/ODBC/Thrift
Python

Server-side scripts

Stored procedures

JavaScript

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

since version 2.0

Sharding

Round robin

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication with configurable replication factor

Multi-source replication

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

Foreign keys

Referential integrity

yes

relationships in graphs

Transaction concepts

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

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

More information provided by the system vendor

Specific characteristics

One Engine. One Query Language. Multiple Data Models. ArangoDB is an open source...
» more

Competitive advantages

Consolidation: As a native multi-model database, can be used as a full blown document...
» more

Typical application scenarios

Native multi-model in ArangoDB is being used for a broad range of projects across...
» more

Key customers

Cisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more

Market metrics

ArangoDB is the leading native multi-model database with over 9000 stargazers on...
» more

Licensing and pricing models

Very permissive Apache 2 License for Community Edition & commercial licenses are...
» more

News

C++ Memory Model: Migrating from X86 to ARM
15 February 2021

ArangoML Series: Multi-Model Collaboration
26 January 2021

State of the Art Preprocessing and Filtering with ArangoSearch
10 December 2020

ArangoML Series: Intro to NetworkX Adapter
17 November 2020

ArangoML Part 4: Detecting Covariate Shift in Datasets
5 November 2020

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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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

Database Software Market 2029 Competitive Analysis : Actian Corporation, Amazon, ArangoDB, Couch Base, EnterpriseOB – The Bisouv Network
23 February 2021, The Bisouv Network

Graph Databases Software Market to have a Major Impact on the Market During 2021-2027 | Neo4j, ArangoDB, SAP, Twitter, The Apache Software Foundation – FLA News
23 February 2021, FLA News

Graph Database Market by Technology, Application & Geography – Analysis & Forecast to 2027 || Neo Technology, Inc., OrientDB, Franz Inc.(AllegroGraph), DataStax, Ontotext AD, ArangoDB GmbH
17 February 2021, The Courier

How to install the ArangoDB multimodal database on Ubuntu Server 20.04
15 December 2020, TechRepublic

Graph, machine learning, hype, and beyond: ArangoDB open source multi-model database releases version 3.7
27 August 2020, ZDNet

provided by Google News

2021: Top 5 Disruptive Trends in the GPU Database Market by Top Companies : Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox. Moreover, the other prospective players in the GPU database market are HeteroDB, H2O.ai, FASTDATA.io, Fuzzy Logix, and Anaconda.
25 February 2021, NeighborWebSJ

GPU Database Market to Witness Huge Growth by 2027 | Kinetica, Omnisci, Sqream and Others
22 February 2021, NY Market Reports

GPU Database Market Dynamics Forces, New Market Opportunities by Players – Graphistry, BlazingDB, Kinetica, SQream, Zilliz, OmniSci, Brytlyt, NVIDIA, Blazegraph, Jedox, Neo4j, HeteroDB, Fuzzy Logix, Anaconda
23 February 2021, The Bisouv Network

GPU Database Market Competitive Insights and Analysis 2021-2026 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox. Moreover, the other prospective players in the GPU database market are HeteroDB, H2O.ai, FASTDATA.io, Fuzzy Logix, and Anaconda.
23 February 2021, NeighborWebSJ

The Changing Dynamics of the Global GPU Database Industry – Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox. Moreover, the other prospective players in the GPU database market are HeteroDB, H2O.ai, FASTDATA.io, Fuzzy Logix, and Anaconda.
18 February 2021, NeighborWebSJ

provided by Google News

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