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DBMS > Cubrid vs. Immudb vs. Netezza vs. Splice Machine vs. TerminusDB

System Properties Comparison Cubrid vs. Immudb vs. Netezza vs. Splice Machine vs. TerminusDB

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonImmudb  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSplice Machine  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Data warehouse and analytics appliance part of IBM PureSystemsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsRelational DBMSDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score0.31
Rank#295  Overall
#42  Key-value stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitecubrid.com (korean)
cubrid.org (english)
github.com/­codenotary/­immudb
immudb.io
www.ibm.com/­products/­netezzasplicemachine.comterminusdb.com
Technical documentationcubrid.org/­manualsdocs.immudb.iosplicemachine.com/­how-it-worksterminusdb.github.io/­terminusdb/­#
DeveloperCUBRID Corporation, CUBRID FoundationCodenotaryIBMSplice MachineDataChemist Ltd.
Initial release20082020200020142018
Current release11.0, January 20211.2.3, April 20223.1, March 202111.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaGoJavaProlog, Rust
Server operating systemsLinux
Windows
BSD
Linux
macOS
Solaris
Windows
z/OS
Linux infoincluded in applianceLinux
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-like syntaxyesyesSQL-like query language (WOQL)
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
gRPC protocol
PostgreSQL wire protocol
JDBC
ODBC
OLE DB
JDBC
Native Spark Datasource
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScript
Python
Server-side scripts infoStored proceduresJava Stored Proceduresnoyesyes infoJavayes
Triggersyesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShared Nothhing Auto-Sharding, Columnar PartitioningGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standardRole-based access control

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More resources
CubridImmudbNetezza infoAlso called PureData System for Analytics by IBMSplice MachineTerminusDB infoformer name was DataChemist
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