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DBMS > Derby vs. HEAVY.AI vs. PostgreSQL vs. Sphinx

System Properties Comparison Derby vs. HEAVY.AI vs. PostgreSQL vs. Sphinx

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Editorial information provided by DB-Engines
NameDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLOpen source search engine for searching in data from different sources, e.g. relational databases
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.Search engine
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
Score4.60
Rank#70  Overall
#38  Relational DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitedb.apache.org/­derbygithub.com/­heavyai/­heavydb
www.heavy.ai
www.postgresql.orgsphinxsearch.com
Technical documentationdb.apache.org/­derby/­manuals/­index.htmldocs.heavy.aiwww.postgresql.org/­docssphinxsearch.com/­docs
DeveloperApache Software FoundationHEAVY.AI, Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developerSphinx Technologies Inc.
Initial release199720161989 info1989: Postgres, 1996: PostgreSQL2001
Current release10.17.1.0, November 20235.10, January 202216.3, May 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2; enterprise edition availableOpen Source infoBSDOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ and CUDACC++
Server operating systemsAll OS with a Java VMLinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesno
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.yesnoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesyesyes infostandard with numerous extensionsSQL-like query language (SphinxQL)
APIs and other access methodsJDBCJDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol
Supported programming languagesJavaAll languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresJava Stored Proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinpartitioning by range, list and (since PostgreSQL 11) by hashSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationSource-replica replication infoother methods possible by using 3rd party extensionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
Derby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022PostgreSQLSphinx
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