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DBMS > ArangoDB vs. IBM Cloudant vs. QuestDB vs. SiriDB

System Properties Comparison ArangoDB vs. IBM Cloudant vs. QuestDB vs. SiriDB

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonQuestDB  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Database as a Service offering based on Apache CouchDBA high performance open source SQL database for time series dataOpen Source Time Series DBMS
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Document storeTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.32
Rank#90  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score2.68
Rank#106  Overall
#20  Document stores
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitearangodb.comwww.ibm.com/­products/­cloudantquestdb.iosiridb.com
Technical documentationdocs.arangodb.comcloud.ibm.com/­docs/­Cloudantquestdb.io/­docsdocs.siridb.com
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
DeveloperArangoDB Inc.IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014QuestDB Technology IncCesbit
Initial release2012201020142017
Current release3.11.5, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercialOpen Source infoApache 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ArangoDB Cloud –The Managed Cloud Service of ArangoDB. 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++ErlangJava (Zero-GC), C++, RustC
Server operating systemsLinux
OS X
Windows
hostedLinux
macOS
Windows
Linux
Data schemeschema-free infoautomatically recognizes schema within a collectionschema-freeyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashnoyesyes infoNumeric data
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.nonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnonoSQL with time-series extensionsno
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
RESTful HTTP/JSON APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
HTTP API
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C#
Java
JavaScript
Objective-C
PHP
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresJavaScriptView functions (Map-Reduce) in JavaScriptnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0Shardinghorizontal partitioning (by timestamps)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factorMulti-source replication
Source-replica replication
Source-replica replication with eventual consistencyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptyesnono
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)
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a document possibleACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infothrough memory mapped filesyes
User concepts infoAccess controlyesAccess rights for users can be defined per databasesimple rights management via user accounts
More information provided by the system vendor
ArangoDBIBM CloudantQuestDBSiriDB
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
Relational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Financial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
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DB-Engines blog posts

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