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DBMS > Apache Impala vs. atoti vs. H2GIS vs. PostgreSQL vs. Realm

System Properties Comparison Apache Impala vs. atoti vs. H2GIS vs. PostgreSQL vs. Realm

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonatoti  Xexclude from comparisonH2GIS  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Spatial extension of H2Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelRelational DBMSObject oriented DBMSSpatial DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Document store
Secondary database modelsDocument storeRelational DBMSDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websiteimpala.apache.orgatoti.iowww.h2gis.orgwww.postgresql.orgrealm.io
Technical documentationimpala.apache.org/­impala-docs.htmldocs.atoti.iowww.h2gis.org/­docs/­homewww.postgresql.org/­docsrealm.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaActiveViamCNRSPostgreSQL Global Development Group infowww.postgresql.org/­developerRealm, acquired by MongoDB in May 2019
Initial release201320131989 info1989: Postgres, 1996: PostgreSQL2014
Current release4.1.0, June 202216.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree versions availableOpen Source infoLGPL 3.0Open Source infoBSDOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
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Implementation languageC++JavaJavaC
Server operating systemsLinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Android
Backend: server-less
iOS
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsMultidimensional Expressions (MDX)yesyes infostandard with numerous extensionsno
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages supporting JDBC/ODBCJava.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducePythonyes infobased on H2user defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no inforuns within the applications so server-side scripts are unnecessary
Triggersnoyesyesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningnonepartitioning by range, list and (since PostgreSQL 11) by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infobased on H2Source-replica replication infoother methods possible by using 3rd party extensionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)yes
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.noyesyesnoyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes infobased on H2fine grained access rights according to SQL-standardyes

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More resources
Apache ImpalaatotiH2GISPostgreSQLRealm
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