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DBMS > Derby vs. Postgres-XL vs. PostgreSQL vs. RisingWave vs. Yanza

System Properties Comparison Derby vs. Postgres-XL vs. PostgreSQL vs. RisingWave vs. Yanza

Editorial information provided by DB-Engines
NameDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRisingWave  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLA distributed RDBMS for stream processing, wire-compatible with PostgreSQLTime Series DBMS for IoT Applications
Primary database modelRelational DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Document 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
Score4.60
Rank#70  Overall
#38  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Websitedb.apache.org/­derbywww.postgres-xl.orgwww.postgresql.orgwww.risingwave.com/­databaseyanza.com
Technical documentationdb.apache.org/­derby/­manuals/­index.htmlwww.postgres-xl.org/­documentationwww.postgresql.org/­docsdocs.risingwave.com/­docs/­current/­intro
DeveloperApache Software FoundationPostgreSQL Global Development Group infowww.postgresql.org/­developerRisingWave LabsYanza
Initial release19972014 infosince 2012, originally named StormDB1989 info1989: Postgres, 1996: PostgreSQL20222015
Current release10.17.1.0, November 202310 R1, October 201816.3, May 20241.2, September 2023
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoMozilla public licenseOpen Source infoBSDOpen Source infoApache Version 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCCRust
Server operating systemsAll OS with a Java VMLinux
macOS
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Docker
Linux
macOS
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesStandard SQL-types and JSONno
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.yesyes infoXML type, but no XML query functionalityyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyesyes infodistributed, parallel query executionyes infostandard with numerous extensionsyesno
APIs and other access methodsJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
PostgreSQL wire protocol
HTTP API
Supported programming languagesJava.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript (Node.js)
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.UDFs in Python or Javano
Triggersyesyesyesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningpartitioning by range, list and (since PostgreSQL 11) by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers and Rolesno

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More resources
Derby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBPostgres-XLPostgreSQLRisingWaveYanza
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