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DBMS > ArangoDB vs. Kdb vs. LevelDB

System Properties Comparison ArangoDB vs. Kdb vs. LevelDB

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonKdb  Xexclude from comparisonLevelDB  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.High performance Time Series DBMSEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Time Series DBMS
Vector DBMS
Key-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.77
Rank#87  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score7.70
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score2.75
Rank#107  Overall
#19  Key-value stores
Websitearangodb.comkx.comgithub.com/­google/­leveldb
Technical documentationdocs.arangodb.comcode.kx.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
DeveloperArangoDB Inc.Kx Systems, a division of First Derivatives plcGoogle
Initial release20122000 infokdb was released 2000, kdb+ in 20032011
Current release3.11.5, November 20233.6, May 20181.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercial infofree 32-bit versionOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonono
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++qC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
Data schemeschema-free infoautomatically recognizes schema within a collectionyesschema-free
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyesno
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.yesno
Secondary indexesyesyes infotable attribute 'grouped'no
SQL infoSupport of SQLnoSQL-like query language (q)no
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresJavaScriptuser defined functionsno
Triggersnoyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factorSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptno infosimilar paradigm used for internal processingno
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlyesrights management via user accountsno
More information provided by the system vendor
ArangoDBKdbLevelDB
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
Integrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
provides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
tick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Goldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» more
kdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more
upon request
» more

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More resources
ArangoDBKdbLevelDB
DB-Engines blog posts

The Weight of Relational Databases: Time for Multi-Model?
29 August 2017, Luca Olivari (guest author)

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