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DBMS > FeatureBase vs. FoundationDB vs. SiteWhere vs. Sphinx

System Properties Comparison FeatureBase vs. FoundationDB vs. SiteWhere vs. Sphinx

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonFoundationDB  Xexclude from comparisonSiteWhere  Xexclude from comparisonSphinx  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Ordered key-value store. Core features are complimented by layers.M2M integration platform for persisting/querying time series dataOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.featurebase.comgithub.com/­apple/­foundationdbgithub.com/­sitewhere/­sitewheresphinxsearch.com
Technical documentationdocs.featurebase.comapple.github.io/­foundationdbsitewhere1.sitewhere.io/­index.htmlsphinxsearch.com/­docs
DeveloperMolecula and Pilosa Open Source ContributorsFoundationDBSiteWhereSphinx Technologies Inc.
Initial release2017201320102001
Current release2022, May 20226.2.28, November 20203.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoCommon Public Attribution License Version 1.0Open 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 languageGoC++JavaC++
Server operating systemsLinux
macOS
Linux
OS X
Windows
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-free infosome layers support schemaspredefined schemeyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesno
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 indexesnononoyes infofull-text index on all search fields
SQL infoSupport of SQLSQL queriessupported in specific SQL layer onlynoSQL-like query language (SphinxQL)
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
HTTP RESTProprietary protocol
Supported programming languagesJava
Python
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresin SQL-layer onlyno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on HBaseSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integrityyesin SQL-layer onlynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyes 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 controlnoUsers with fine-grained authorization conceptno

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More resources
FeatureBaseFoundationDBSiteWhereSphinx
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