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DBMS > Firebird vs. Riak TS vs. SiteWhere vs. Sphinx vs. Splice Machine

System Properties Comparison Firebird vs. Riak TS vs. SiteWhere vs. Sphinx vs. Splice Machine

Editorial information provided by DB-Engines
NameFirebird  Xexclude from comparisonRiak TS  Xexclude from comparisonSiteWhere  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionFirebird is an open source RDBMS forked from Borland's InterBaseRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVM2M integration platform for persisting/querying time series dataOpen 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 DBMSTime Series DBMSTime Series DBMSSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.45
Rank#31  Overall
#19  Relational DBMS
Score0.28
Rank#308  Overall
#27  Time Series DBMS
Score0.05
Rank#381  Overall
#41  Time Series DBMS
Score6.06
Rank#61  Overall
#6  Search engines
Score0.54
Rank#257  Overall
#118  Relational DBMS
Websitewww.firebirdsql.orggithub.com/­sitewhere/­sitewheresphinxsearch.comsplicemachine.com
Technical documentationwww.firebirdsql.org/­en/­reference-manualswww.tiot.jp/­riak-docs/­riak/­ts/­latestsitewhere1.sitewhere.io/­index.htmlsphinxsearch.com/­docssplicemachine.com/­how-it-works
DeveloperFirebird FoundationOpen Source, formerly Basho TechnologiesSiteWhereSphinx Technologies Inc.Splice Machine
Initial release2000 infoAs fork of Borland's InterBase2015201020012014
Current release5.0.0, January 20243.0.0, September 20223.5.1, February 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoInitial Developer's Public LicenseOpen SourceOpen Source infoCommon Public Attribution License Version 1.0Open 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++ErlangJavaC++Java
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
OS X
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freepredefined schemeyesyes
Typing infopredefined data types such as float or dateyesnoyesnoyes
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.nono
Secondary indexesyesrestrictednoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesyes, limitednoSQL-like query language (SphinxQL)yes
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
HTTP API
Native Erlang Interface
HTTP RESTProprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
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 proceduresPSQLErlangnoyes infoJava
Triggersyesyes infopre-commit hooks and post-commit hooksnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on HBaseSharding 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 replicationselectable replication factorselectable replication factor infobased on HBasenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infolinks between datasets can be storednonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
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.noyes
User concepts infoAccess controlUsers with fine-grained authorization conceptnoUsers with fine-grained authorization conceptnoAccess rights for users, groups and roles according to SQL-standard

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More resources
FirebirdRiak TSSiteWhereSphinxSplice Machine
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