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DBMS > Apache IoTDB vs. Cubrid vs. GBase vs. Hazelcast vs. Oracle Rdb

System Properties Comparison Apache IoTDB vs. Cubrid vs. GBase vs. Hazelcast vs. Oracle Rdb

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonCubrid  Xexclude from comparisonGBase  Xexclude from comparisonHazelcast  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A widely adopted in-memory data grid
Primary database modelTime Series DBMSRelational DBMSRelational 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
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score1.08
Rank#184  Overall
#85  Relational DBMS
Websiteiotdb.apache.orgcubrid.com (korean)
cubrid.org (english)
www.gbase.cnhazelcast.comwww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlcubrid.org/­manualshazelcast.org/­imdg/­docswww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperApache Software FoundationCUBRID Corporation, CUBRID FoundationGeneral Data Technology Co., Ltd.HazelcastOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20182008200420081984
Current release1.1.0, April 202311.0, January 2021GBase 8a, GBase 8s, GBase 8c5.3.6, November 20237.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++, JavaC, Java, PythonJava
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
Windows
LinuxAll OS with a Java VMHP Open VMS
Data schemeyesyesyesschema-freeFlexible Schema (defined schema, partial schema, schema free)
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.nonoyesyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesStandard with numerous extensionsSQL-like query languageyes
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
ODBC
OLE DB
ADO.NET
C API
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyesJava Stored Proceduresuser defined functionsyes infoEvent Listeners, Executor Services
Triggersyesyesyesyes infoEvents
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonehorizontal partitioning (by range, list and hash) and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replicationyesyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDone or two-phase-commit; repeatable reads; read commitedyes, on a single node
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.yesnoyesno
User concepts infoAccess controlyesfine grained access rights according to SQL-standardyesRole-based access control

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More resources
Apache IoTDBCubridGBaseHazelcastOracle Rdb
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