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DBMS > Sphinx vs. Splice Machine vs. VoltDB vs. Yanza

System Properties Comparison Sphinx vs. Splice Machine vs. VoltDB vs. Yanza

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Editorial information provided by DB-Engines
NameSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparisonVoltDB  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionOpen 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 SparkDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memoryTime Series DBMS for IoT Applications
Primary database modelSearch engineRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.98
Rank#56  Overall
#5  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitesphinxsearch.comsplicemachine.comwww.voltdb.comyanza.com
Technical documentationsphinxsearch.com/­docssplicemachine.com/­how-it-worksdocs.voltdb.com
DeveloperSphinx Technologies Inc.Splice MachineVoltDB Inc.Yanza
Initial release2001201420102015
Current release3.5.1, February 20233.1, March 202111.3, April 2022
License infoCommercial or Open SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license availableOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editionscommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJava, C++
Server operating systemsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
OS X infofor development
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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
Secondary indexesyes infofull-text index on all search fieldsyesyesno
SQL infoSupport of SQLSQL-like query language (SphinxQL)yesyes infoonly a subset of SQL 99no
APIs and other access methodsProprietary protocolJDBC
Native Spark Datasource
ODBC
Java API
JDBC
RESTful HTTP/JSON API
HTTP API
Supported programming languagesC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresnoyes infoJavaJavano
Triggersnoyesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar PartitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno infoFOREIGN KEY constraints are not supportedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoTransactions are executed single-threaded within stored proceduresno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyes infoThe original contents of fields are not stored in the Sphinx index.yesyes infoSnapshots and command loggingyes
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, groups and roles according to SQL-standardUsers and roles with access to stored proceduresno

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More resources
SphinxSplice MachineVoltDBYanza
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