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DBMS > Greenplum vs. HBase vs. Hive vs. Impala

System Properties Comparison Greenplum vs. HBase vs. Hive vs. Impala

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonHBase  Xexclude from comparisonHive  Xexclude from comparisonImpala  Xexclude from comparison
DescriptionAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Wide-column store based on Apache Hadoop and on concepts of BigTabledata warehouse software for querying and managing large distributed datasets, built on HadoopAnalytic DBMS for Hadoop
Primary database modelRelational DBMSWide column storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score11.32
Rank#46  Overall
#30  Relational DBMS
Score40.04
Rank#26  Overall
#2  Wide column stores
Score77.89
Rank#17  Overall
#11  Relational DBMS
Score17.82
Rank#39  Overall
#24  Relational DBMS
Websitegreenplum.orghbase.apache.orghive.apache.orgwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html
Technical documentationdocs.greenplum.orghbase.apache.orgcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperPivotal Software Inc.Apache Software Foundation infoApache top-level project, originally developed by PowersetApache Software Foundation infoinitially developed by FacebookCloudera
Initial release2005200820122013
Current release6.7.1, April 20202.3.4, January 20213.1.3, April 20224.1.0, June 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache version 2Open Source infoApache Version 2Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsLinuxLinux
Unix
Windows infousing Cygwin
All OS with a Java VMLinux
Data schemeyesschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyes
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.yes infosince Version 4.2nono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesC
Java
Perl
Python
R
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
PHP
Python
All languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresyesyes infoCoprocessors in Javayes infouser defined functions and integration of map-reduceyes infouser defined functions and integration of map-reduce
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
selectable replication factorselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyes infoquery execution via MapReduceyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)nono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and rolesAccess rights for users, groups and roles infobased on Apache Sentry and Kerberos

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More resources
GreenplumHBaseHiveImpala
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