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DBMS > Apache Doris vs. Apache Drill vs. H2 vs. PostgreSQL vs. XTDB

System Properties Comparison Apache Doris vs. Apache Drill vs. H2 vs. PostgreSQL vs. XTDB

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonApache Drill  Xexclude from comparisonH2  Xexclude from comparisonPostgreSQL  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSDocument store
Relational DBMS
Relational 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 modelsSpatial 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
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitedoris.apache.org
github.com/­apache/­doris
drill.apache.orgwww.h2database.comwww.postgresql.orggithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationgithub.com/­apache/­doris/­wikidrill.apache.org/­docswww.h2database.com/­html/­main.htmlwww.postgresql.org/­docswww.xtdb.com/­docs
DeveloperApache Software Foundation, originally contributed from BaiduApache Software FoundationThomas MuellerPostgreSQL Global Development Group infowww.postgresql.org/­developerJuxt Ltd.
Initial release2017201220051989 info1989: Postgres, 1996: PostgreSQL2019
Current release1.2.2, February 20231.20.3, January 20232.2.220, July 202316.3, May 20241.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoBSDOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
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Implementation languageJavaJavaCClojure
Server operating systemsLinuxLinux
OS X
Windows
All OS with a Java VMFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
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.nononoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesSQL SELECT statement is SQL:2003 compliantyesyes infostandard with numerous extensionslimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
MySQL client
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
JDBC
Supported programming languagesJavaC++Java.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Clojure
Java
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsJava Stored Procedures and User-Defined Functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnonepartitioning by range, list and (since PostgreSQL 11) by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneWith clustering: 2 database servers on different computers operate on identical copies of a databaseSource-replica replication infoother methods possible by using 3rd party extensionsyes, 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 ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyesyesyes, 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.noDepending on the underlying data sourceyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardDepending on the underlying data sourcefine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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