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DBMS > Apache Kylin vs. GraphDB vs. HarperDB

System Properties Comparison Apache Kylin vs. GraphDB vs. HarperDB

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonHarperDB  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackEnterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.Ultra-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.
Primary database modelRelational DBMSGraph DBMS
RDF store
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score3.25
Rank#91  Overall
#7  Graph DBMS
#4  RDF stores
Score0.60
Rank#244  Overall
#38  Document stores
Websitekylin.apache.orgwww.ontotext.comwww.harperdb.io
Technical documentationkylin.apache.org/­docsgraphdb.ontotext.com/­documentationdocs.harperdb.io/­docs
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperApache Software Foundation, originally contributed from eBay IncOntotextHarperDB
Initial release201520002017
Current release3.1.0, July 202010.4, October 20233.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoSome plugins of GraphDB Workbench are open sourcedcommercial infofree community edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaNode.js
Server operating systemsLinuxAll OS with a Java VM
Linux
OS X
Windows
Linux
OS X
Data schemeyesschema-free and OWL/RDFS-schema support; RDF shapesdynamic schema
Typing infopredefined data types such as float or dateyesyesyes infoJSON data types
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.nonono
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)stored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCSQL-like data manipulation statements
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
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
Server-side scripts infoStored procedureswell-defined plugin interfaces; JavaScript server-side extensibilityCustom Functions infosince release 3.1
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneA table resides as a whole on one (or more) nodes in a cluster
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infothe nodes on which a table resides can be defined
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.Access rights for users and roles
More information provided by the system vendor
Apache KylinGraphDB infoformer name: OWLIMHarperDB
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache KylinGraphDB infoformer name: OWLIMHarperDB
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