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DBMS > AllegroGraph vs. HarperDB vs. Hypertable vs. Quasardb

System Properties Comparison AllegroGraph vs. HarperDB vs. Hypertable vs. Quasardb

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonHarperDB  Xexclude from comparisonHypertable  Xexclude from comparisonQuasardb  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSHarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.An open source BigTable implementation based on distributed file systems such as HadoopDistributed, high-performance timeseries database
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document storeWide column storeTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#204  Overall
#35  Document stores
#18  Graph DBMS
#7  RDF stores
#10  Vector DBMS
Score0.55
Rank#243  Overall
#38  Document stores
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Websiteallegrograph.comwww.harperdb.ioquasar.ai
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.harperdb.io/­docsdoc.quasar.ai/­master
DeveloperFranz Inc.HarperDBHypertable Inc.quasardb
Initial release2004201720092009
Current release8.0, December 20233.1, August 20210.9.8.11, March 20163.14.1, January 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infofree community edition availableOpen Source infoGNU version 3. Commercial license availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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.
Implementation languageNode.jsC++C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Linux
OS X
Windows infoan inofficial Windows port is available
BSD
Linux
OS X
Windows
Data schemeyes infoRDF schemasdynamic schemaschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesnoyes 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 possiblenono
Secondary indexesyesyesrestricted infoonly exact value or prefix value scansyes infowith tags
SQL infoSupport of SQLSPARQL is used as query languageSQL-like data manipulation statementsnoSQL-like query language
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
C++ API
Thrift
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
C++
Java
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispCustom Functions infosince release 3.1nono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeswith FederationA table resides as a whole on one (or more) nodes in a clusterShardingSharding 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 definedselectable replication factor on file system levelSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient mode
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users and rolesnoCryptographically strong user authentication and audit trail
More information provided by the system vendor
AllegroGraphHarperDBHypertableQuasardb
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17 July 2024

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