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DBMS > Fujitsu Enterprise Postgres vs. HBase vs. Hive vs. RavenDB

System Properties Comparison Fujitsu Enterprise Postgres vs. HBase vs. Hive vs. RavenDB

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonHBase  Xexclude from comparisonHive  Xexclude from comparisonRavenDB  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.Wide-column store based on Apache Hadoop and on concepts of BigTabledata warehouse software for querying and managing large distributed datasets, built on HadoopOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSWide column storeRelational DBMSDocument store
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
Score27.97
Rank#26  Overall
#2  Wide column stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Websitewww.postgresql.fastware.comhbase.apache.orghive.apache.orgravendb.net
Technical documentationwww.postgresql.fastware.com/­product-manualshbase.apache.org/­book.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homeravendb.net/­docs
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software Foundation infoinitially developed by FacebookHibernating Rhinos
Initial release200820122010
Current releaseFujitsu Enterprise Postgres 14, January 20222.3.4, January 20213.1.3, April 20225.4, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoApache Version 2Open Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaJavaC#
Server operating systemsLinux
Windows
Linux
Unix
Windows infousing Cygwin
All OS with a Java VMLinux
macOS
Raspberry Pi
Windows
Data schemeyesschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesno
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 indexesyesnoyesyes
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsSQL-like query language (RQL)
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
Thrift
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
PHP
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyes infoCoprocessors in Javayes infouser defined functions and integration of map-reduceyes
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
selectable replication factorMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoquery execution via MapReduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual 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.
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)noACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and rolesAuthorization levels configured per client per database

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Fujitsu Enterprise PostgresHBaseHiveRavenDB
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