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DBMS > Firebird vs. Geode vs. OpenQM vs. Sphinx vs. Splice Machine

System Properties Comparison Firebird vs. Geode vs. OpenQM vs. Sphinx vs. Splice Machine

Editorial information provided by DB-Engines
NameFirebird  Xexclude from comparisonGeode  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionFirebird is an open source RDBMS forked from Borland's InterBaseGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesQpenQM is a high-performance, self-tuning, multi-value DBMSOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSKey-value storeMultivalue DBMSSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.firebirdsql.orggeode.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmsphinxsearch.comsplicemachine.com
Technical documentationwww.firebirdsql.org/­en/­reference-manualsgeode.apache.org/­docssphinxsearch.com/­docssplicemachine.com/­how-it-works
DeveloperFirebird FoundationOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Rocket Software, originally Martin PhillipsSphinx Technologies Inc.Splice Machine
Initial release2000 infoAs fork of Borland's InterBase2002199320012014
Current release5.0.0, January 20241.1, February 20173.4-123.5.1, February 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoInitial Developer's Public LicenseOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoGPLv2, extended commercial license availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaC++Java
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyes infowith some exceptionsyesyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.noyes
Secondary indexesyesnoyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesSQL-like query language (OQL)noSQL-like query language (SphinxQL)yes
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
Java Client API
Memcached protocol
RESTful HTTP API
Proprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresPSQLuser defined functionsyesnoyes infoJava
Triggersyesyes infoCache Event Listenersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyesSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationyesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlUsers with fine-grained authorization conceptAccess rights per client and object definableAccess rights can be defined down to the item levelnoAccess rights for users, groups and roles according to SQL-standard

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More resources
FirebirdGeodeOpenQM infoalso called QMSphinxSplice Machine
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