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DBMS > AllegroGraph vs. HarperDB vs. HugeGraph vs. Kinetica vs. Quasardb

System Properties Comparison AllegroGraph vs. HarperDB vs. HugeGraph vs. Kinetica vs. Quasardb

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonHarperDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonKinetica  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.A fast-speed and highly-scalable Graph DBMSFully vectorized database across both GPUs and CPUsDistributed, high-performance timeseries database
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document storeGraph DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websiteallegrograph.comwww.harperdb.iogithub.com/­hugegraph
hugegraph.apache.org
www.kinetica.comquasar.ai
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.harperdb.io/­docshugegraph.apache.org/­docsdocs.kinetica.comdoc.quasar.ai/­master
DeveloperFranz Inc.HarperDBBaiduKineticaquasardb
Initial release20042017201820122009
Current release8.0, December 20233.1, August 20210.97.1, August 20213.14.1, January 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infofree community edition availableOpen Source infoApache Version 2.0commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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.
Implementation languageNode.jsJavaC, C++C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Linux
macOS
Unix
LinuxBSD
Linux
OS X
Windows
Data schemeyes infoRDF schemasdynamic schemayesyesschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyesyes 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.no infobulk load of XML files possiblenononono
Secondary indexesyesyesyes infoalso supports composite index and range indexyesyes infowith tags
SQL infoSupport of SQLSPARQL is used as query languageSQL-like data manipulation statementsnoSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Groovy
Java
Python
C++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispCustom Functions infosince release 3.1asynchronous Gremlin script jobsuser defined functionsno
Triggersyesnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodeswith FederationA table resides as a whole on one (or more) nodes in a clusteryes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infothe nodes on which a table resides can be definedyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparknowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infoGPU vRAM or System RAMyes infoTransient mode
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users and rolesUsers, roles and permissionsAccess rights for users and roles on table levelCryptographically strong user authentication and audit trail
More information provided by the system vendor
AllegroGraphHarperDBHugeGraphKineticaQuasardb
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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