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DBMS > Fujitsu Enterprise Postgres vs. Hyprcubd vs. RavenDB vs. Trafodion

System Properties Comparison Fujitsu Enterprise Postgres vs. Hyprcubd vs. RavenDB vs. Trafodion

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonHyprcubd  Xexclude from comparisonRavenDB  Xexclude from comparisonTrafodion  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Serverless Time Series DBMSOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSTime Series DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Websitewww.postgresql.fastware.comhyprcubd.com (offline)ravendb.nettrafodion.apache.org
Technical documentationwww.postgresql.fastware.com/­product-manualsravendb.net/­docstrafodion.apache.org/­documentation.html
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyHyprcubd, Inc.Hibernating RhinosApache Software Foundation, originally developed by HP
Initial release20102014
Current releaseFujitsu Enterprise Postgres 14, January 20225.4, July 20222.3.0, February 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCGoC#C++, Java
Server operating systemsLinux
Windows
hostedLinux
macOS
Raspberry Pi
Windows
Linux
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringnoyes
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 indexesyesnoyesyes
SQL infoSupport of SQLyesSQL-like query languageSQL-like query language (RQL)yes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC (https).NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresuser defined functionsnoyesJava Stored Procedures
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)noyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardtoken accessAuthorization levels configured per client per databasefine grained access rights according to SQL-standard
More information provided by the system vendor
Fujitsu Enterprise PostgresHyprcubdRavenDBTrafodion
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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Fujitsu Enterprise PostgresHyprcubdRavenDBTrafodion
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