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DBMS > AllegroGraph vs. HarperDB vs. Kinetica vs. QuestDB

System Properties Comparison AllegroGraph vs. HarperDB vs. Kinetica vs. QuestDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonHarperDB  Xexclude from comparisonKinetica  Xexclude from comparisonQuestDB  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.Fully vectorized database across both GPUs and CPUsA high performance open source SQL database for time series data
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document storeRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#9  Vector DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Websiteallegrograph.comwww.harperdb.iowww.kinetica.comquestdb.io
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.harperdb.io/­docsdocs.kinetica.comquestdb.io/­docs
DeveloperFranz Inc.HarperDBKineticaQuestDB Technology Inc
Initial release2004201720122014
Current release8.0, December 20233.1, August 20217.1, August 2021
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infofree community edition availablecommercialOpen Source infoApache 2.0
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++Java (Zero-GC), C++, Rust
Server operating systemsLinux
OS X
Windows
Linux
OS X
LinuxLinux
macOS
Windows
Data schemeyes infoRDF schemasdynamic schemayesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyes
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 possiblenonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSPARQL is used as query languageSQL-like data manipulation statementsSQL-like DML and DDL statementsSQL with time-series extensions
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
RESTful HTTP API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
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
JavaScript (Node.js)
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispCustom Functions infosince release 3.1user defined functionsno
Triggersyesnoyes 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 clusterShardinghorizontal partitioning (by timestamps)
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 definedSource-replica replicationSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoGPU vRAM or System RAMyes infothrough memory mapped files
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users and rolesAccess rights for users and roles on table level
More information provided by the system vendor
AllegroGraphHarperDBKineticaQuestDB
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Relational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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