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DBMS > Apache Doris vs. Hazelcast vs. PostgreSQL vs. TimesTen vs. XTDB

System Properties Comparison Apache Doris vs. Hazelcast vs. PostgreSQL vs. TimesTen vs. XTDB

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonHazelcast  Xexclude from comparisonPostgreSQL  Xexclude from comparisonTimesTen  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolA widely adopted in-memory data gridWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLIn-Memory RDBMS compatible to OracleA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSKey-value storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMSDocument store
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document 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
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitedoris.apache.org
github.com/­apache/­doris
hazelcast.comwww.postgresql.orgwww.oracle.com/­database/­technologies/­related/­timesten.htmlgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationgithub.com/­apache/­doris/­wikihazelcast.org/­imdg/­docswww.postgresql.org/­docsdocs.oracle.com/­database/­timesten-18.1www.xtdb.com/­docs
DeveloperApache Software Foundation, originally contributed from BaiduHazelcastPostgreSQL Global Development Group infowww.postgresql.org/­developerOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Juxt Ltd.
Initial release201720081989 info1989: Postgres, 1996: PostgreSQL19982019
Current release1.2.2, February 20235.3.6, November 202316.3, May 202411 Release 2 (11.2.2.8.0)1.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoBSDcommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
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Implementation languageJavaJavaCClojure
Server operating systemsLinuxAll OS with a Java VMFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes, extensible-data-notation format
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 infothe object must implement a serialization strategyyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL-like query languageyes infostandard with numerous extensionsyeslimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
MySQL client
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
HTTP REST
JDBC
Supported programming languagesJava.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Java
PL/SQL
Clojure
Java
Server-side scripts infoStored proceduresuser defined functionsyes infoEvent Listeners, Executor Servicesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.PL/SQLno
Triggersnoyes infoEventsyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingpartitioning by range, list and (since PostgreSQL 11) by hashnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoReplicated MapSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication
Source-replica replication
yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpointsyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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