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DBMS > Sphinx vs. TimesTen vs. Ultipa vs. YottaDB

System Properties Comparison Sphinx vs. TimesTen vs. Ultipa vs. YottaDB

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Editorial information provided by DB-Engines
NameSphinx  Xexclude from comparisonTimesTen  Xexclude from comparisonUltipa  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionOpen source search engine for searching in data from different sources, e.g. relational databasesIn-Memory RDBMS compatible to OracleHigh performance Graph DBMS supporting HTAP high availability cluster deploymentA fast and solid embedded Key-value store
Primary database modelSearch engineRelational DBMSGraph DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.98
Rank#56  Overall
#5  Search engines
Score1.31
Rank#163  Overall
#74  Relational DBMS
Score0.13
Rank#335  Overall
#31  Graph DBMS
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitesphinxsearch.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlwww.ultipa.comyottadb.com
Technical documentationsphinxsearch.com/­docsdocs.oracle.com/­database/­timesten-18.1www.ultipa.com/­documentyottadb.com/­resources/­documentation
DeveloperSphinx Technologies Inc.Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005UltipaYottaDB, LLC
Initial release2001199820192001
Current release3.5.1, February 202311 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoGPL version 2, commercial licence availablecommercialcommercialOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C
Server operating systemsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Docker
Linux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or datenoyesno
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 indexesyes infofull-text index on all search fieldsyesno
SQL infoSupport of SQLSQL-like query language (SphinxQL)yesby using the Octo plugin
APIs and other access methodsProprietary protocolJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
RESTful HTTP APIPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C++
Java
PL/SQL
C++
Go
Java
JavaScript (Node.js)
Python
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnoPL/SQL
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infoThe original contents of fields are not stored in the Sphinx index.yes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms

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More resources
SphinxTimesTenUltipaYottaDB
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