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DBMS > Firebird vs. GigaSpaces vs. JaguarDB vs. Sphinx

System Properties Comparison Firebird vs. GigaSpaces vs. JaguarDB vs. Sphinx

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Editorial information provided by DB-Engines
NameFirebird  Xexclude from comparisonGigaSpaces  Xexclude from comparisonJaguarDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionFirebird is an open source RDBMS forked from Borland's InterBaseHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsPerformant, highly scalable DBMS for AI and IoT applicationsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Key-value store
Vector DBMS
Search engine
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.firebirdsql.orgwww.gigaspaces.comwww.jaguardb.comsphinxsearch.com
Technical documentationwww.firebirdsql.org/­en/­reference-manualsdocs.gigaspaces.com/­latest/­landing.htmlwww.jaguardb.com/­support.htmlsphinxsearch.com/­docs
DeveloperFirebird FoundationGigaspaces TechnologiesDataJaguar, Inc.Sphinx Technologies Inc.
Initial release2000 infoAs fork of Borland's InterBase200020152001
Current release5.0.0, January 202415.5, September 20203.3 July 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoInitial Developer's Public LicenseOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoGPL V3.0Open 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 languageC and C++Java, C++, .NetC++ infothe server part. Clients available in other languagesC++
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
macOS
Solaris
Windows
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes
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.no infoXML can be used for describing objects metadatano
Secondary indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL-99 for query and DML statementsA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
C++
Java
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresPSQLyesnono
Triggersyesyes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyes
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.yesno
User concepts infoAccess controlUsers with fine-grained authorization conceptRole-based access controlrights management via user accountsno

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