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DBMS > Fujitsu Enterprise Postgres vs. HarperDB vs. Hyprcubd vs. Ingres vs. Kinetica

System Properties Comparison Fujitsu Enterprise Postgres vs. HarperDB vs. Hyprcubd vs. Ingres vs. Kinetica

Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonHarperDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonIngres  Xexclude from comparisonKinetica  Xexclude from comparison
Hyprcubd seems to be discontinued. 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.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Serverless Time Series DBMSWell established RDBMSFully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSDocument storeTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitewww.postgresql.fastware.comwww.harperdb.iohyprcubd.com (offline)www.actian.com/­databases/­ingreswww.kinetica.com
Technical documentationwww.postgresql.fastware.com/­product-manualsdocs.harperdb.io/­docsdocs.actian.com/­ingresdocs.kinetica.com
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyHarperDBHyprcubd, Inc.Actian CorporationKinetica
Initial release20171974 infooriginally developed at University Berkely in early 1970s2012
Current releaseFujitsu Enterprise Postgres 14, January 20223.1, August 202111.2, May 20227.1, August 2021
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCNode.jsGoCC, C++
Server operating systemsLinux
Windows
Linux
OS X
hostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Data schemeyesdynamic schemayesyesyes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyes infotime, int, uint, float, stringyesyes
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.nonono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesSQL-like data manipulation statementsSQL-like query languageyesSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
gRPC (https).NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsCustom Functions infosince release 3.1noyesuser defined functions
Triggersyesnonoyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashA table resides as a whole on one (or more) nodes in a clusterhorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infothe nodes on which a table resides can be definedIngres ReplicatorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesnoyes infoMVCCyes
Durability infoSupport for making data persistentyesyes, using LMDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes infoGPU vRAM or System RAM
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolestoken accessfine grained access rights according to SQL-standardAccess rights for users and roles on table level
More information provided by the system vendor
Fujitsu Enterprise PostgresHarperDBHyprcubdIngresKinetica
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 PostgresHarperDBHyprcubdIngresKinetica
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