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DBMS > Databend vs. Firebird vs. Graph Engine vs. RDF4J vs. TimescaleDB

System Properties Comparison Databend vs. Firebird vs. Graph Engine vs. RDF4J vs. TimescaleDB

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonFirebird  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityFirebird is an open source RDBMS forked from Borland's InterBaseA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSRelational DBMSGraph DBMS
Key-value store
RDF storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.74
Rank#222  Overall
#9  RDF stores
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.firebirdsql.orgwww.graphengine.iordf4j.orgwww.timescale.com
Technical documentationdocs.databend.comwww.firebirdsql.org/­en/­reference-manualswww.graphengine.io/­docs/­manualrdf4j.org/­documentationdocs.timescale.com
DeveloperDatabend LabsFirebird FoundationMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Timescale
Initial release20212000 infoAs fork of Borland's InterBase201020042017
Current release1.0.59, April 20235.0.0, January 20242.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoInitial Developer's Public LicenseOpen Source infoMIT LicenseOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustC and C++.NET and CJavaC
Server operating systemshosted
Linux
macOS
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
.NETLinux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeyesyesyesyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex 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.nonoyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesyesnonoyes infofull PostgreSQL SQL syntax
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
RESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C#
C++
F#
Visual Basic
Java
PHP
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoPSQLyesyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioningnoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnoneSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesUsers with fine-grained authorization conceptnofine grained access rights according to SQL-standard

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More resources
DatabendFirebirdGraph Engine infoformer name: TrinityRDF4J infoformerly known as SesameTimescaleDB
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