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DBMS > Databend vs. Graph Engine vs. RDF4J vs. TimescaleDB vs. UniData,UniVerse

System Properties Comparison Databend vs. Graph Engine vs. RDF4J vs. TimescaleDB vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTimescaleDB  Xexclude from comparisonUniData,UniVerse  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 complexityA 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 PostgreSQLMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMSGraph DBMS
Key-value store
RDF storeTime Series DBMSMultivalue 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
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
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.graphengine.iordf4j.orgwww.timescale.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationdocs.databend.comwww.graphengine.io/­docs/­manualrdf4j.org/­documentationdocs.timescale.comdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperDatabend LabsMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.TimescaleRocket Software
Initial release20212010200420171985
Current release1.0.59, April 20232.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRust.NET and CJavaCC
Server operating systemshosted
Linux
macOS
.NETLinux
OS X
Unix
Windows
Linux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesyes infoRDF Schemasyesschema-free
Typing infopredefined data types such as float or dateyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesoptional
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 SQLyesnonoyes infofull PostgreSQL SQL syntaxyes
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
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
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C#
C++
F#
Visual Basic
Java
PHP
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnoyesyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellyes
Triggersnonoyesyesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningnoneyes, across time and space (hash partitioning) attributesnone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replication with hot standby and reads on replicas infoSource-replica replication
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 integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID infoIsolation support depends on the API usedACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: 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 wellyesyes
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 rolesnofine grained access rights according to SQL-standardAccess rights according to SQL-standard and operating system based

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More resources
DatabendGraph Engine infoformer name: TrinityRDF4J infoformerly known as SesameTimescaleDBUniData,UniVerse
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