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DBMS > Apache Impala vs. Greenplum vs. H2GIS

System Properties Comparison Apache Impala vs. Greenplum vs. H2GIS

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGreenplum  Xexclude from comparisonH2GIS  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAnalytic 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.Spatial extension of H2
Primary database modelRelational DBMSRelational DBMSSpatial DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score0.00
Rank#385  Overall
#7  Spatial DBMS
Websiteimpala.apache.orggreenplum.orgwww.h2gis.org
Technical documentationimpala.apache.org/­impala-docs.htmldocs.greenplum.orgwww.h2gis.org/­docs/­home
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaPivotal Software Inc.CNRS
Initial release201320052013
Current release4.1.0, June 20227.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoLGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsLinuxLinux
Data schemeyesyesyes
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 infosince Version 4.2no
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
Java
Perl
Python
R
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesyes infobased on H2
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyes infobased on H2
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
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.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardyes infobased on H2

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More resources
Apache ImpalaGreenplumH2GIS
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