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DBMS > AntDB vs. ArangoDB vs. Kinetica vs. Yaacomo

System Properties Comparison AntDB vs. ArangoDB vs. Kinetica vs. Yaacomo

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Editorial information provided by DB-Engines
NameAntDB  Xexclude from comparisonArangoDB  Xexclude from comparisonKinetica  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with OracleNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Fully vectorized database across both GPUs and CPUsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Search engine
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#303  Overall
#137  Relational DBMS
Score3.32
Rank#90  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitewww.asiainfo.com/­en_us/­product_aisware_antdb_detail.htmlarangodb.comwww.kinetica.comyaacomo.com
Technical documentationdocs.arangodb.comdocs.kinetica.com
Social network pagesLinkedInTwitterFacebookLinkedInTwitterFacebookYouTubeInstagram
DeveloperAsiaInfo Technologies LimitedArangoDB Inc.KineticaQ2WEB GmbH
Initial release201220122009
Current release3.11.5, November 20237.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
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++C, C++
Server operating systemsLinux
OS X
Windows
LinuxAndroid
Linux
Windows
Data schemeyesschema-free infoautomatically recognizes schema within a collectionyesyes
Typing infopredefined data types such as float or dateyesyes infostring, double, boolean, list, hashyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLSQL2016 compliantnoSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
MySQL protocol compliant
ODBC
AQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresJavaScriptuser defined functions
Triggersyesnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0Shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factorSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyes inforelationships in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlyesAccess rights for users and roles on table levelfine grained access rights according to SQL-standard
More information provided by the system vendor
AntDBArangoDBKineticaYaacomo
Specific characteristicsAntDB was initiated in 2008. On the core system of operators, AntDB provides online...
» more
Graph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
Competitive advantagesHTAP mixed load: AntDB is a universal, enterprise-level distributed relational database,...
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Consolidation: As a native multi-model database, can be used as a full blown document...
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Typical application scenariosAs the core software of large enterprise, AntDB supports multi-scenario deployment....
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Native multi-model in ArangoDB is being used for a broad range of projects across...
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Key customersChina Mobile, China Telecom, China Unicom, Aeon Life, China Mobile Tietong, CITIC...
» more
Cisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Market metricsMore than 1 billion subscribers in 24 provinces across China are served by AntDB...
» more
ArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» more
Licensing and pricing modelsCertificates and licenses CMMI5 Certificate licensed by CMMI Institute IT Product...
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Very permissive Apache 2 License for Community Edition & commercial licenses are...
» more

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More resources
AntDBArangoDBKineticaYaacomo
DB-Engines blog posts

AntDB: Answer to Database Evolution - Hyperconverged All-in-One Streaming Engine
22 June 2023,  Bei Mo, AntDB (sponsor) 

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

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