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DBMS > Apache Kylin vs. Firebird vs. GBase vs. GraphDB

System Properties Comparison Apache Kylin vs. Firebird vs. GBase vs. GraphDB

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonFirebird  Xexclude from comparisonGBase  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackFirebird is an open source RDBMS forked from Borland's InterBaseWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Enterprise-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.
Primary database modelRelational DBMSRelational DBMSRelational DBMSGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.14
Rank#171  Overall
#77  Relational DBMS
Score19.46
Rank#30  Overall
#18  Relational DBMS
Score1.11
Rank#173  Overall
#78  Relational DBMS
Score2.76
Rank#99  Overall
#8  Graph DBMS
#4  RDF stores
Websitekylin.apache.orgwww.firebirdsql.orgwww.gbase.cnwww.ontotext.com
Technical documentationkylin.apache.org/­docswww.firebirdsql.org/­en/­reference-manualsgraphdb.ontotext.com/­documentation
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperApache Software Foundation, originally contributed from eBay IncFirebird FoundationGeneral Data Technology Co., Ltd.Ontotext
Initial release20152000 infoAs fork of Borland's InterBase20042000
Current release3.1.0, July 20205.0.1, August 2024GBase 8a, GBase 8s, GBase 8c10.4, October 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoInitial Developer's Public Licensecommercialcommercial infoSome plugins of GraphDB Workbench are open sourced
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 languageJavaC and C++C, Java, PythonJava
Server operating systemsLinuxAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
LinuxAll OS with a Java VM
Linux
OS X
Windows
Data schemeyesyesyesschema-free and OWL/RDFS-schema support; RDF shapes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno
Secondary indexesyesyesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yesStandard with numerous extensionsstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBC
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
ADO.NET
C API
JDBC
ODBC
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C#.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresPSQLuser defined functionswell-defined plugin interfaces; JavaScript server-side extensibility
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash) and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)
Foreign keys infoReferential integrityyesyesyes infoConstraint checking
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlUsers with fine-grained authorization conceptyesDefault 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.
More information provided by the system vendor
Apache KylinFirebirdGBaseGraphDB infoformer name: OWLIM
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
News

GraphDB in Action: Using Semantics To Push The Envelope Of Software Engineering, Machine Learning, and E-Health Domains
11 September 2024

Accelerating End-to-end Knowledge Graph Solutions with Ontotext’s LinkedLifeData Inventory: The Case of Target Discovery
30 August 2024

Using Entity Linking to Turn Your Graph into a Knowledge Graph
23 August 2024

Considerations to Creating a Graph Center of Excellence: 5 Elements to Ensure Success
22 August 2024

The Power of Knowledge Graphs – A Chat with Perfect Memory and Ontotext
16 August 2024

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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 KylinFirebirdGBaseGraphDB infoformer name: OWLIM
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