DBMS > ArangoDB vs. Google BigQuery vs. JaguarDB vs. Microsoft Azure Table Storage vs. YugabyteDB

System Properties Comparison ArangoDB vs. Google BigQuery vs. JaguarDB vs. Microsoft Azure Table Storage vs. YugabyteDB

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.

Large scale data warehouse service with append-only tables

Performant, highly scalable DBMS for AI and IoT applications

A Wide Column Store for rapid development using massive semi-structured datasets

High-performance distributed SQL database for global, internet-scale applications. Wire compatible with PostgreSQL.

Primary database model

Document store
Graph DBMS
Key-value store
Search engine

Secondary database models

Document store
Wide column store

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

Score	4.77
Rank	#69	Overall
	#10	Document stores
	#3	Graph DBMS
	#10	Key-value stores
	#8	Search engines

Score	35.58
Rank	#24	Overall
	#15	Relational DBMS

Score	0.02
Rank	#334	Overall
	#54	Key-value stores

Score	4.70
Rank	#70	Overall
	#5	Wide column stores

Score	0.92
Rank	#179	Overall
	#90	Relational DBMS

Website

www.arangodb.com

cloud.google.com/bigquery

www.datajaguar.com

azure.microsoft.com/en-us/services/storage/tables

www.yugabyte.com

Technical documentation

www.arangodb.com/docs/stable

cloud.google.com/bigquery/docs

www.datajaguar.com/support.php

docs.yugabyte.com
github.com/yugabyte/yugabyte-db

Developer

ArangoDB Inc.

Google

DataJaguar, Inc.

Microsoft

Yugabyte Inc.

Initial release

2012

2010

2015

2012

2017

Current release

3.7.9, March 2021

2.9.4 September 2018

2.4, January 2021

License

Commercial or Open Source

Open Source

Apache Version 2; Commercial license (Enterprise) available

commercial

Open Source

GPL V3.0

commercial

Open Source

Apache 2.0

Cloud-based only

Only available as a cloud service

yes

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++

the server part. Clients available in other languages

C and C++

Server operating systems

Linux
OS X
Windows

hosted

Linux

hosted

Linux
OS X

Data scheme

schema-free

automatically recognizes schema within a collection

yes

schema-free

depending on used data model

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

A subset of ANSI SQL is implemented

but no views, foreign keys, triggers

yes, PostgreSQL compatible

APIs and other access methods

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

RESTful HTTP/JSON API

JDBC
ODBC

RESTful HTTP API

YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language

Supported programming languages

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

.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby

C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala

.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby

C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Ruby

Server-side scripts

Stored procedures

JavaScript

user defined functions

in JavaScript

yes

sql, plpgsql, C

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

since version 2.0

none

Sharding

Implicit feature of the cloud service

Hash and Range Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication with configurable replication factor

Multi-source replication

yes

implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.

Based on Raft distributed consensus protocol, minimum 3 replicas for continuous availability

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

Eventual Consistency

Immediate Consistency

Strong consistency on writes and tunable consistency on reads

Foreign keys

Referential integrity

yes

relationships in graphs

yes

Transaction concepts

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

ACID

Since BigQuery is designed for querying data

optimistic locking

Distributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

based on RocksDB

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 privileges (owner, writer, reader) for whole datasets, not for individual tables

Google Cloud Identity & Access Management (IAM)

rights management via user accounts

Access rights based on private key authentication or shared access signatures

yes

More information provided by the system vendor

Specific characteristics

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

SQL support, group by, order by, join
» more

Competitive advantages

Consolidation: As a native multi-model database, can be used as a full blown document...
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Extremely easy to scale-out (in seconds) 100,000 times faster
» more

Typical application scenarios

Native multi-model in ArangoDB is being used for a broad range of projects across...
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IoT data, time series data, AI data. Any type of numerical data.
» more

Key customers

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

Quantea, 2PiDay, Synqy, SinoLogistics, IIVI
» more

Market metrics

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

Advertising awareness, installed base, brand image, market share
» more

Licensing and pricing models

Very permissive Apache 2 License for Community Edition & commercial licenses are...
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Free-trial license, per-node license, and subscription license.
» 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

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.