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DBMS > FoundationDB vs. Rockset vs. Sphinx vs. Splice Machine

System Properties Comparison FoundationDB vs. Rockset vs. Sphinx vs. Splice Machine

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonRockset  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionOrdered key-value store. Core features are complimented by layers.A scalable, reliable search and analytics service in the cloud, built on RocksDBOpen 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 modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Document storeSearch engineRelational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#191  Overall
#32  Document stores
#28  Key-value stores
#87  Relational DBMS
Score1.07
Rank#180  Overall
#31  Document stores
Score5.97
Rank#56  Overall
#5  Search engines
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websitegithub.com/­apple/­foundationdbrockset.comsphinxsearch.comsplicemachine.com
Technical documentationapple.github.io/­foundationdbdocs.rockset.comsphinxsearch.com/­docssplicemachine.com/­how-it-works
DeveloperFoundationDBRocksetSphinx Technologies Inc.Splice Machine
Initial release2013201920012014
Current release6.2.28, November 20203.5.1, February 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++Java
Server operating systemsLinux
OS X
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-free infosome layers support schemasschema-freeyesyes
Typing infopredefined data types such as float or dateno infosome layers support typingdynamic typingnoyes
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 infoingestion from XML files supported
Secondary indexesnoall fields are automatically indexedyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLsupported in specific SQL layer onlyRead-only SQL queries, including JOINsSQL-like query language (SphinxQL)yes
APIs and other access methodsHTTP RESTProprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Go
Java
JavaScript (Node.js)
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 proceduresin SQL-layer onlynonoyes infoJava
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingSharding 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 nodesyesyesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes 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.yes
User concepts infoAccess controlnoAccess rights for users and organizations can be defined via Rockset consolenoAccess rights for users, groups and roles according to SQL-standard

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More resources
FoundationDBRocksetSphinxSplice Machine
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