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DBMS > Interbase vs. Postgres-XL vs. Sphinx

System Properties Comparison Interbase vs. Postgres-XL vs. Sphinx

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Editorial information provided by DB-Engines
NameInterbase  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionLight-weight proven RDBMS infooriginally from BorlandBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.55
Rank#74  Overall
#39  Relational DBMS
Score0.34
Rank#270  Overall
#124  Relational DBMS
Score5.88
Rank#56  Overall
#5  Search engines
Websitewww.embarcadero.com/­products/­interbasewww.postgres-xl.orgsphinxsearch.com
Technical documentationdocs.embarcadero.com/­products/­interbasewww.postgres-xl.org/­documentationsphinxsearch.com/­docs
DeveloperEmbarcaderoSphinx Technologies Inc.
Initial release19842014 infosince 2012, originally named StormDB2001
Current releaseInterBase 2020, December 201910 R1, October 20183.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoMozilla public licenseOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCCC++
Server operating systemsAndroid
iOS
Linux
OS X
Windows
Linux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesno
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.no infoexport as XML data possibleyes infoXML type, but no XML query functionality
Secondary indexesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesyes infodistributed, parallel query executionSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol
Supported programming languages.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C
C++
Delphi
Erlang
Java
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 proceduresyes infoInterbase procedure and trigger languageuser defined functionsno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesInterbase Change Viewsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentyesyesyes 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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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InterbasePostgres-XLSphinx
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