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DBMS > Apache Phoenix vs. Bangdb vs. Cubrid vs. SAP HANA

System Properties Comparison Apache Phoenix vs. Bangdb vs. Cubrid vs. SAP HANA

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBangdb  Xexclude from comparisonCubrid  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseConverged and high performance database for device data, events, time series, document and graphCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPIn-memory, column based data store. Available as appliance or cloud service
Primary database modelRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#125  Overall
#59  Relational DBMS
Score0.07
Rank#346  Overall
#47  Document stores
#35  Graph DBMS
#32  Time Series DBMS
Score0.97
Rank#189  Overall
#86  Relational DBMS
Score41.32
Rank#23  Overall
#16  Relational DBMS
Websitephoenix.apache.orgbangdb.comcubrid.com (korean)
cubrid.org (english)
www.sap.com/­products/­hana.html
Technical documentationphoenix.apache.orgdocs.bangdb.comcubrid.org/­manualshelp.sap.com/­hana
DeveloperApache Software FoundationSachin Sinha, BangDBCUBRID Corporation, CUBRID FoundationSAP
Initial release2014201220082010
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019BangDB 2.0, October 202111.0, January 20212.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD 3Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++C, C++, Java
Server operating systemsLinux
Unix
Windows
LinuxLinux
Windows
Appliance or cloud-service
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyes
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.nononono
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLyesSQL like support with command line toolyesyes
APIs and other access methodsJDBCProprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Java
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsnoJava Stored ProceduresSQLScript, R
Triggersnoyes, Notifications (with Streaming only)yesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor, Knob for CAP (enterprise version only)Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, run db with in-memory only modenoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyes (enterprise version only)fine grained access rights according to SQL-standardyes

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More resources
Apache PhoenixBangdbCubridSAP HANA
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