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DBMS > ArangoDB vs. Google Cloud Bigtable vs. Quasardb

System Properties Comparison ArangoDB vs. Google Cloud Bigtable vs. Quasardb

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Distributed, high-performance timeseries database
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Wide column storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.85
Rank#66  Overall
#12  Document stores
#4  Graph DBMS
#12  Key-value stores
#7  Search engines
Score2.27
Rank#108  Overall
#7  Wide column stores
Score0.10
Rank#279  Overall
#21  Time Series DBMS
Websitewww.arangodb.comcloud.google.com/­bigtablewww.quasardb.net
Technical documentationwww.arangodb.com/­docs/­stablecloud.google.com/­bigtable/­docsdoc.quasardb.net
DeveloperArangoDB Inc.Googlequasardb
Initial release201220152009
Current release3.6, January 20203.1, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase 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 languageC++C++
Server operating systemsLinux
OS X
Windows
hostedBSD
Linux
OS X
Windows
Data schemeschema-free infoautomatically recognizes schema within a collectionschema-freeschema-free
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashnoyes infointeger and binary
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesnoyes infowith tags
SQL infoSupport of SQLnonoSQL-like query language
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresJavaScriptnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0ShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication with configurable replication factorInternal replication in Colossus, and regional replication between two clusters in different zonesMaster-slave replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient mode
User concepts infoAccess controlyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Cryptographically strong user authentication and audit trail
More information provided by the system vendor
ArangoDBGoogle Cloud BigtableQuasardb
Specific characteristicsOne Engine. One Query Language. Multiple Data Models. ArangoDB is an open source...
» more
High-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
High performance in a cost-effective small package Real-time results for even large...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Tick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Large EU investment banks US based hedge funds Orolia Tellmeplus
» more
Market metricsArangoDB is the leading native multi-model database with over 9000 stargazers on...
» more
Has been running in very demanding production environments since 2013 Rapid adoption...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more
Community edition limited to 2 nodes and 16 GiB of storage per node available for...
» more
News

Public Preview of Microsoft Azure now available on ArangoDB Oasis
19 February 2020

Alpha 1 of the upcoming ArangoDB 3.7
19 February 2020

ArangoML Pipeline Cloud – Managed Machine Learning Metadata Service
30 January 2020

Massive Inserts into ArangoDB With NodeJS
9 January 2020

What’s new in ArangoDB 3.6: OneShard Deployments and Performance Improvements
8 January 2020

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

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More resources
ArangoDBGoogle Cloud BigtableQuasardb
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