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DBMS > Altibase vs. Apache Impala vs. EXASOL vs. IBM Db2 Event Store vs. PostgreSQL

System Properties Comparison Altibase vs. Apache Impala vs. EXASOL vs. IBM Db2 Event Store vs. PostgreSQL

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonApache Impala  Xexclude from comparisonEXASOL  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSAnalytic DBMS for HadoopHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Distributed Event Store optimized for Internet of Things use casesWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSEvent Store
Time Series DBMS
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument storeDocument 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
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websitealtibase.comimpala.apache.orgwww.exasol.comwww.ibm.com/­products/­db2-event-storewww.postgresql.org
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsimpala.apache.org/­impala-docs.htmlwww.exasol.com/­resourceswww.ibm.com/­docs/­en/­db2-event-storewww.postgresql.org/­docs
DeveloperAltibaseApache Software Foundation infoApache top-level project, originally developed by ClouderaExasolIBMPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release19992013200020171989 info1989: Postgres, 1996: PostgreSQL
Current releasev7.3, 2023, August 20234.1.0, June 20222.016.3, May 2024
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache Version 2commercialcommercial infofree developer edition availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
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Implementation languageC++C++C and C++C
Server operating systemsAIX
HP-UX
Linux
LinuxLinux infoLinux, macOS, Windows for the developer additionFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLANSI SQL-92SQL-like DML and DDL statementsyesyes infothrough the embedded Spark runtimeyes infostandard with numerous extensions
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
ODBC
.Net
JDBC
ODBC
WebSocket
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C++
Java
All languages supporting JDBC/ODBCJava
Lua
Python
R
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresstored procedures and stored functionsyes infouser defined functions and integration of map-reduceuser defined functionsyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorActive-active shard replicationSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
AltibaseApache ImpalaEXASOLIBM Db2 Event StorePostgreSQL
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