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DBMS > ArangoDB vs. Drizzle vs. HEAVY.AI vs. Kinetica vs. Memcached

System Properties Comparison ArangoDB vs. Drizzle vs. HEAVY.AI vs. Kinetica vs. Memcached

Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonDrizzle  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonKinetica  Xexclude from comparisonMemcached  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareFully vectorized database across both GPUs and CPUsIn-memory key-value store, originally intended for caching
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Relational DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series 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
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Websitearangodb.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.kinetica.comwww.memcached.org
Technical documentationdocs.arangodb.comdocs.heavy.aidocs.kinetica.comgithub.com/­memcached/­memcached/­wiki
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
DeveloperArangoDB Inc.Drizzle project, originally started by Brian AkerHEAVY.AI, Inc.KineticaDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release20122008201620122003
Current release3.11.5, November 20237.2.4, September 20125.10, January 20227.1, August 20211.6.25, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoGNU GPLOpen Source infoApache Version 2; enterprise edition availablecommercialOpen Source infoBSD license
Cloud-based only infoOnly available as a cloud servicenonononono
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++ and CUDAC, C++C
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
LinuxLinuxFreeBSD
Linux
OS X
Unix
Windows
Data schemeschema-free infoautomatically recognizes schema within a collectionyesyesyesschema-free
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyesyesyesno
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 indexesyesyesnoyesno
SQL infoSupport of SQLnoyes infowith proprietary extensionsyesSQL-like DML and DDL statementsno
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
JDBCJDBC
ODBC
Thrift
Vega
JDBC
ODBC
RESTful HTTP API
Proprietary protocol
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C
C++
Java
PHP
All languages supporting JDBC/ODBC/Thrift
Python
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresJavaScriptnonouser defined functionsno
Triggersnono infohooks for callbacks inside the server can be used.noyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0ShardingSharding infoRound robinShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factorMulti-source replication
Source-replica replication
Multi-source replicationSource-replica replicationnone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptnononono
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 or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes inforelationships in graphsyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAM
User concepts infoAccess controlyesPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardAccess rights for users and roles on table levelyes infousing SASL (Simple Authentication and Security Layer) protocol
More information provided by the system vendor
ArangoDBDrizzleHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KineticaMemcached
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
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Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
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Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» 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

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ArangoDBDrizzleHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KineticaMemcached
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