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DBMS > Fujitsu Enterprise Postgres vs. HyperSQL vs. Qdrant

System Properties Comparison Fujitsu Enterprise Postgres vs. HyperSQL vs. Qdrant

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonQdrant  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.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA high-performance vector database with neural network or semantic-based matching
Primary database modelRelational DBMSRelational DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score1.28
Rank#167  Overall
#8  Vector DBMS
Websitewww.postgresql.fastware.comhsqldb.orggithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationwww.postgresql.fastware.com/­product-manualshsqldb.org/­web/­hsqlDocsFrame.htmlqdrant.tech/­documentation
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyQdrant
Initial release20012021
Current releaseFujitsu Enterprise Postgres 14, January 20222.7.2, June 2023
License infoCommercial or Open SourcecommercialOpen Source infobased on BSD licenseOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaRust
Server operating systemsLinux
Windows
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesDocker
Linux
macOS
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesNumbers, Strings, Geo, Boolean
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
Secondary indexesyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLyesyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API infoJDBC via HTTP
JDBC
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
All languages supporting JDBC/ODBC
Java
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresuser defined functionsJava, SQL
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardKey-based authentication

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More resources
Fujitsu Enterprise PostgresHyperSQL infoalso known as HSQLDBQdrant
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