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DBMS > Fujitsu Enterprise Postgres vs. QuestDB vs. RDF4J

System Properties Comparison Fujitsu Enterprise Postgres vs. QuestDB vs. RDF4J

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonQuestDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A high performance open source SQL database for time series dataRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSTime Series DBMSRDF store
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitewww.postgresql.fastware.comquestdb.iordf4j.org
Technical documentationwww.postgresql.fastware.com/­product-manualsquestdb.io/­docsrdf4j.org/­documentation
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyQuestDB Technology IncSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20142004
Current releaseFujitsu Enterprise Postgres 14, January 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava (Zero-GC), C++, RustJava
Server operating systemsLinux
Windows
Linux
macOS
Windows
Linux
OS X
Unix
Windows
Data schemeyesyes infoschema-free via InfluxDB Line Protocolyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyes
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.no
Secondary indexesyesnoyes
SQL infoSupport of SQLyesSQL with time-series extensionsno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnoyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashhorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication with eventual consistencynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writesACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infothrough memory mapped files
User concepts infoAccess controlfine grained access rights according to SQL-standardno
More information provided by the system vendor
Fujitsu Enterprise PostgresQuestDBRDF4J infoformerly known as Sesame
Specific characteristics100% compatible with community PostgreSQL
» more
Relational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Financial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
Fujitsu Enterprise PostgresQuestDBRDF4J infoformerly known as Sesame
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