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DBMS > Cubrid vs. FatDB vs. Ignite vs. Microsoft Azure SQL Database vs. WakandaDB

System Properties Comparison Cubrid vs. FatDB vs. Ignite vs. Microsoft Azure SQL Database vs. WakandaDB

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonFatDB  Xexclude from comparisonIgnite  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonWakandaDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPA .NET NoSQL DBMS that can integrate with and extend SQL Server.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.Database as a Service offering with high compatibility to Microsoft SQL ServerWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSDocument store
Key-value store
Key-value store
Relational DBMS
Relational DBMSObject oriented DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitecubrid.com (korean)
cubrid.org (english)
ignite.apache.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databasewakanda.github.io
Technical documentationcubrid.org/­manualsapacheignite.readme.io/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqlwakanda.github.io/­doc
DeveloperCUBRID Corporation, CUBRID FoundationFatCloudApache Software FoundationMicrosoftWakanda SAS
Initial release20082012201520102012
Current release11.0, January 2021Apache Ignite 2.6V122.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0commercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaC#C++, Java, .NetC++C++, JavaScript
Server operating systemsLinux
Windows
WindowsLinux
OS X
Solaris
Windows
hostedLinux
OS X
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesno infoVia inetgration in SQL ServerANSI-99 for query and DML statements, subset of DDLyesno
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresJava Stored Proceduresyes infovia applicationsyes (compute grid and cache interceptors can be used instead)Transact SQLyes
Triggersyesyes infovia applicationsyes (cache interceptors and events)yesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factoryes (replicated cache)yes, with always 3 replicas availablenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoCan implement custom security layer via applicationsSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardyes

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More resources
CubridFatDBIgniteMicrosoft Azure SQL Database infoformerly SQL AzureWakandaDB
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