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DBMS > BigObject vs. Fujitsu Enterprise Postgres vs. HarperDB vs. InterSystems IRIS

System Properties Comparison BigObject vs. Fujitsu Enterprise Postgres vs. HarperDB vs. InterSystems IRIS

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonHarperDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.HarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalability
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSDocument storeDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#329  Overall
#147  Relational DBMS
Score0.22
Rank#304  Overall
#137  Relational DBMS
Score0.55
Rank#243  Overall
#38  Document stores
Score2.98
Rank#91  Overall
#17  Document stores
#14  Key-value stores
#1  Object oriented DBMS
#49  Relational DBMS
Websitebigobject.iowww.postgresql.fastware.comwww.harperdb.iowww.intersystems.com/­products/­intersystems-iris
Technical documentationdocs.bigobject.iowww.postgresql.fastware.com/­product-manualsdocs.harperdb.io/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.cls
DeveloperBigObject, Inc.PostgreSQL Global Development Group, Fujitsu Australia Software TechnologyHarperDBInterSystems
Initial release201520172018
Current releaseFujitsu Enterprise Postgres 14, January 20223.1, August 20212023.3, June 2023
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialcommercial infofree community edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCNode.js
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
Windows
Linux
OS X
AIX
Linux
macOS
Ubuntu
Windows
Data schemeyesyesdynamic schemadepending on used data model
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyes
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.nonoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like data manipulation statementsyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
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
.Net
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresLuauser defined functionsCustom Functions infosince release 3.1yes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and by hashA table resides as a whole on one (or more) nodes in a clusterSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes infothe nodes on which a table resides can be definedSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users and rolesyes
More information provided by the system vendor
BigObjectFujitsu Enterprise PostgresHarperDBInterSystems IRIS
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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BigObjectFujitsu Enterprise PostgresHarperDBInterSystems IRIS
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