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DBMS > Altibase vs. Apache Impala vs. Firebolt vs. PostgreSQL vs. Vitess

System Properties Comparison Altibase vs. Apache Impala vs. Firebolt vs. PostgreSQL vs. Vitess

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonApache Impala  Xexclude from comparisonFirebolt  Xexclude from comparisonPostgreSQL  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSAnalytic DBMS for HadoopHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Document store
Spatial DBMS
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
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitealtibase.comimpala.apache.orgwww.firebolt.iowww.postgresql.orgvitess.io
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsimpala.apache.org/­impala-docs.htmldocs.firebolt.iowww.postgresql.org/­docsvitess.io/­docs
DeveloperAltibaseApache Software Foundation infoApache top-level project, originally developed by ClouderaFirebolt Analytics Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developerThe Linux Foundation, PlanetScale
Initial release1999201320201989 info1989: Postgres, 1996: PostgreSQL2013
Current releasev7.3, 2023, August 20234.1.0, June 202216.3, May 202415.0.2, December 2022
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache Version 2commercialOpen Source infoBSDOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++CGo
Server operating systemsAIX
HP-UX
Linux
LinuxhostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Docker
Linux
macOS
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.nonoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLANSI SQL-92SQL-like DML and DDL statementsyesyes infostandard with numerous extensionsyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
ODBC
.Net
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C++
Java
All languages supporting JDBC/ODBCGo
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresstored procedures and stored functionsyes infouser defined functions and integration of map-reducenouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infoproprietary syntax
Triggersyesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingpartitioning by range, list and (since PostgreSQL 11) by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factordepending on storage layerSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.yesnonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
AltibaseApache ImpalaFireboltPostgreSQLVitess
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