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DBMS > Cubrid vs. Datomic vs. FoundationDB vs. Ignite vs. TerminusDB

System Properties Comparison Cubrid vs. Datomic vs. FoundationDB vs. Ignite vs. TerminusDB

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonDatomic  Xexclude from comparisonFoundationDB  Xexclude from comparisonIgnite  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityOrdered key-value store. Core features are complimented by layers.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value store
Relational DBMS
Graph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitecubrid.com (korean)
cubrid.org (english)
www.datomic.comgithub.com/­apple/­foundationdbignite.apache.orgterminusdb.com
Technical documentationcubrid.org/­manualsdocs.datomic.comapple.github.io/­foundationdbapacheignite.readme.io/­docsterminusdb.github.io/­terminusdb/­#
DeveloperCUBRID Corporation, CUBRID FoundationCognitectFoundationDBApache Software FoundationDataChemist Ltd.
Initial release20082012201320152018
Current release11.0, January 20211.0.6735, June 20236.2.28, November 2020Apache Ignite 2.611.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infolimited edition freeOpen Source infoApache 2.0Open Source infoApache 2.0Open 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++, JavaJava, ClojureC++C++, Java, .NetProlog, Rust
Server operating systemsLinux
Windows
All OS with a Java VMLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeyesyesschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or dateyesyesno infosome layers support typingyesyes
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.nonoyesno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesnosupported in specific SQL layer onlyANSI-99 for query and DML statements, subset of DDLSQL-like query language (WOQL)
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
RESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Clojure
Java
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C#
C++
Java
PHP
Python
Ruby
Scala
JavaScript
Python
Server-side scripts infoStored proceduresJava Stored Proceduresyes infoTransaction Functionsin SQL-layer onlyyes (compute grid and cache interceptors can be used instead)yes
TriggersyesBy using transaction functionsnoyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersShardingShardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone infoBut extensive use of caching in the application peersyesyes (replicated cache)Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoin SQL-layer onlynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoSecurity Hooks for custom implementationsRole-based access control

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CubridDatomicFoundationDBIgniteTerminusDB infoformer name was DataChemist
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