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DBMS > Apache Doris vs. GBase vs. HBase vs. Splice Machine

System Properties Comparison Apache Doris vs. GBase vs. HBase vs. Splice Machine

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonGBase  Xexclude from comparisonHBase  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Wide-column store based on Apache Hadoop and on concepts of BigTableOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSRelational DBMSWide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.gbase.cnhbase.apache.orgsplicemachine.com
Technical documentationgithub.com/­apache/­doris/­wikihbase.apache.org/­book.htmlsplicemachine.com/­how-it-works
DeveloperApache Software Foundation, originally contributed from BaiduGeneral Data Technology Co., Ltd.Apache Software Foundation infoApache top-level project, originally developed by PowersetSplice Machine
Initial release2017200420082014
Current release1.2.2, February 2023GBase 8a, GBase 8s, GBase 8c2.3.4, January 20213.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache version 2Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, Java, PythonJavaJava
Server operating systemsLinuxLinuxLinux
Unix
Windows infousing Cygwin
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyes
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.noyesno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesStandard with numerous extensionsnoyes
APIs and other access methodsJDBC
MySQL client
ADO.NET
C API
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJavaC#C
C#
C++
Groovy
Java
PHP
Python
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsyes infoCoprocessors in Javayes infoJava
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning (by range, list and hash) and vertical partitioningShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache DorisGBaseHBaseSplice Machine
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