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DBMS > Bangdb vs. Blazegraph vs. Firebird vs. Interbase vs. Tkrzw

System Properties Comparison Bangdb vs. Blazegraph vs. Firebird vs. Interbase vs. Tkrzw

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonBlazegraph  Xexclude from comparisonFirebird  Xexclude from comparisonInterbase  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionConverged and high performance database for device data, events, time series, document and graphHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Firebird is an open source RDBMS forked from Borland's InterBaseLight-weight proven RDBMS infooriginally from BorlandA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Graph DBMS
RDF store
Relational DBMSRelational DBMSKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitebangdb.comblazegraph.comwww.firebirdsql.orgwww.embarcadero.com/­products/­interbasedbmx.net/­tkrzw
Technical documentationdocs.bangdb.comwiki.blazegraph.comwww.firebirdsql.org/­en/­reference-manualsdocs.embarcadero.com/­products/­interbase
DeveloperSachin Sinha, BangDBBlazegraphFirebird FoundationEmbarcaderoMikio Hirabayashi
Initial release201220062000 infoAs fork of Borland's InterBase19842020
Current releaseBangDB 2.0, October 20212.1.5, March 20195.0.0, January 2024InterBase 2020, December 20190.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoextended commercial license availableOpen Source infoInitial Developer's Public LicensecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaC and C++CC++
Server operating systemsLinuxLinux
OS X
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Android
iOS
Linux
OS X
Windows
Linux
macOS
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyes infoRDF literal typesyesyesno
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.nono infoexport as XML data possibleno
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyes
SQL infoSupport of SQLSQL like support with command line toolSPARQL is used as query languageyesyesno
APIs and other access methodsProprietary protocol
RESTful HTTP API
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
Python
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoyesPSQLyes infoInterbase procedure and trigger languageno
Triggersyes, Notifications (with Streaming only)noyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesSource-replica replicationInterbase Change Viewsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in Graphsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyesyes infousing specific database classes
User concepts infoAccess controlyes (enterprise version only)Security and Authentication via Web Application Container (Tomcat, Jetty)Users with fine-grained authorization conceptfine grained access rights according to SQL-standardno

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BangdbBlazegraphFirebirdInterbaseTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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