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DBMS > Fujitsu Enterprise Postgres vs. Hypertable vs. RavenDB vs. Splunk vs. Ultipa

System Properties Comparison Fujitsu Enterprise Postgres vs. Hypertable vs. RavenDB vs. Splunk vs. Ultipa

Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonHypertable  Xexclude from comparisonRavenDB  Xexclude from comparisonSplunk  Xexclude from comparisonUltipa  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed 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.An open source BigTable implementation based on distributed file systems such as HadoopOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseAnalytics Platform for Big DataHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelRelational DBMSWide column storeDocument storeSearch engineGraph 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
Score89.10
Rank#14  Overall
#2  Search engines
Score0.19
Rank#330  Overall
#30  Graph DBMS
Websitewww.postgresql.fastware.comravendb.netwww.splunk.comwww.ultipa.com
Technical documentationwww.postgresql.fastware.com/­product-manualsravendb.net/­docsdocs.splunk.com/­Documentation/­Splunkwww.ultipa.com/­document
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyHypertable Inc.Hibernating RhinosSplunk Inc.Ultipa
Initial release2009201020032019
Current releaseFujitsu Enterprise Postgres 14, January 20220.9.8.11, March 20165.4, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoAGPL version 3, commercial license availablecommercial infoLimited free edition and free developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C#
Server operating systemsLinux
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonoyes
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.yes
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLyesnoSQL-like query language (RQL)no infoSplunk Search Processing Language for search commands
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
C++ API
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
HTTP RESTRESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
Perl
PHP
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsnoyesyes
Triggersyesnoyesyes
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 replicationselectable replication factor on file system levelMulti-source replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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.Eventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID, Cluster-wide transaction availableno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
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.no
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAuthorization levels configured per client per databaseAccess rights for users and roles

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More resources
Fujitsu Enterprise PostgresHypertableRavenDBSplunkUltipa
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