DBMS > ArangoDB vs. Hive vs. OpenQM vs. Vertica

System Properties Comparison ArangoDB vs. Hive vs. OpenQM vs. Vertica

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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.

data warehouse software for querying and managing large distributed datasets, built on Hadoop

QpenQM is a high-performance, self-tuning, multi-value DBMS

Cloud or on-premises analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.

Primary database model

Document store
Graph DBMS
Key-value store
Search engine

Relational DBMS

Multivalue DBMS

Relational DBMS

Column oriented

Secondary database models

Spatial DBMS
Time Series DBMS

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

Score	5.92
Rank	#73	Overall
	#14	Document stores
	#4	Graph DBMS
	#11	Key-value stores
	#10	Search engines

Score	78.66
Rank	#17	Overall
	#11	Relational DBMS

Score	0.19
Rank	#290	Overall
	#10	Multivalue DBMS

Score	20.13
Rank	#37	Overall
	#23	Relational DBMS

Website

Technical documentation

www.arangodb.com/docs/stable

cwiki.apache.org/confluence/display/Hive/Home

www.openqm.com/support/documentation

vertica.com/documentation

Social network pages

Developer

ArangoDB Inc.

Apache Software Foundation

initially developed by Facebook

Martin Phillips

Micro Focus

prior to that Hewlett Packard

Initial release

2012

1993

2005

Current release

3.9.2, June 2022

3.1.2, August 2019

3.4-12

11.1, February 2022

License

Commercial or Open Source

Open Source

Apache Version 2; Commercial license (Enterprise) available

Open Source

Apache Version 2

Open Source

GPLv2, extended commercial license available

commercial

Limited community edition free

Cloud-based only

Only available as a cloud service

on-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers

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.

Vertica Accelerator’s high-performance analytics and machine learning with SQL or Python is available as a managed service.

Implementation language

C++

Java

C++

Server operating systems

Linux
OS X
Windows

All OS with a Java VM

AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows

Linux

Data scheme

schema-free

automatically recognizes schema within a collection

yes

with some exceptions

yes, but unstructured data can be stored in specific Flex-Tables

Typing

predefined data types such as float or date

yes

string, double, boolean, list, hash

yes

yes: BINARY, BOOLEAN, CHAR, VARCHAR, LONG VARCHAR, DATE, TIME, TIMESTAMP, INTERVAL, INTERVAL DAY TO SECOND, INTERVAL YEAR TO MONTH, DOUBLE PRECISION, FLOAT, INTEGER, BIGINT, SMALLINT,NUMERIC, DECIMAL, NUMBER, MONEY,GEOMETRY

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

No Indexes Required

SQL

Support of SQL

SQL-like DML and DDL statements

Full 1999 standard plus machine learning, time series and geospatial. Over 650 functions.

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

ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL

character-based, interactive, front-end utility

Supported programming languages

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

C++
Java
PHP
Python

.Net
Basic
C
Java
Objective C
PHP
Python

C#
C++
Java
Perl
PHP
Python
R

Server-side scripts

Stored procedures

JavaScript

yes

user defined functions and integration of map-reduce

yes

yes, PostgreSQL PL/pgSQL, with minor differences

Triggers

yes

yes, called Custom Alerts

Partitioning methods

Methods for storing different data on different nodes

Sharding

since version 2.0

Sharding

yes

horizontal partitioning, hierarchical partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication with configurable replication factor

selectable replication factor

yes

Multi-source replication

One, or more copies of data replicated across nodes, or object-store used for repository.

MapReduce

Offers an API for user-defined Map/Reduce methods

can be done with stored procedures in JavaScript

yes

query execution via MapReduce

Bi-directional Spark integration

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)

Eventual Consistency

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

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.

User concepts

Access control

yes

Access rights for users, groups and roles

Access rights can be defined down to the item level

fine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash

More information provided by the system vendor

Specific characteristics

Graph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
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Deploy-anywhere database for large-scale analytical deployments. Deploy on-premises,...
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Competitive advantages

Consolidation: As a native multi-model database, can be used as a full blown document...
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Fast, scalable and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenarios

Native multi-model in ArangoDB is being used for a broad range of projects across...
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Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customers

Cisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
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Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Market metrics

ArangoDB is the leading native multi-model database with over 11,000 stargazers on...
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Licensing and pricing models

Very permissive Apache 2 License for Community Edition & commercial licenses are...
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Cost-based models and subscription-based models are both available. One license is...
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News

Introducing the ArangoDB-PyG Adapter
4 August 2022

July 2022: What’s the Latest with ArangoDB?
21 July 2022

What is a Graph Database?
7 July 2022

May 2022: What’s the Latest with ArangoDB?
27 May 2022

April 2022: What’s the Latest with ArangoDB?
29 April 2022

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