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DBMS > Cubrid vs. Hazelcast vs. Microsoft Azure Synapse Analytics

System Properties Comparison Cubrid vs. Hazelcast vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonHazelcast  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPA widely adopted in-memory data gridElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
hazelcast.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationcubrid.org/­manualshazelcast.org/­imdg/­docsdocs.microsoft.com/­azure/­synapse-analytics
DeveloperCUBRID Corporation, CUBRID FoundationHazelcastMicrosoft
Initial release200820082016
Current release11.0, January 20215.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaJavaC++
Server operating systemsLinux
Windows
All OS with a Java VMhosted
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyes
SQL infoSupport of SQLyesSQL-like query languageyes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresJava Stored Proceduresyes infoEvent Listeners, Executor ServicesTransact SQL
Triggersyesyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoReplicated Mapyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integrityyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlyes

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More resources
CubridHazelcastMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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