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DBMS > Kinetica vs. Lovefield vs. Sadas Engine vs. searchxml vs. Sphinx

System Properties Comparison Kinetica vs. Lovefield vs. Sadas Engine vs. searchxml vs. Sphinx

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonLovefield  Xexclude from comparisonSadas Engine  Xexclude from comparisonsearchxml  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsEmbeddable relational database for web apps written in pure JavaScriptSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsDBMS for structured and unstructured content wrapped with an application serverOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSRelational DBMSNative XML DBMS
Search engine
Search engine
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.22
Rank#306  Overall
#138  Relational DBMS
Score0.00
Rank#385  Overall
#159  Relational DBMS
Score0.00
Rank#385  Overall
#7  Native XML DBMS
#24  Search engines
Score5.97
Rank#56  Overall
#5  Search engines
Websitewww.kinetica.comgoogle.github.io/­lovefieldwww.sadasengine.comwww.searchxml.net/­category/­productssphinxsearch.com
Technical documentationdocs.kinetica.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationwww.searchxml.net/­support/­handoutssphinxsearch.com/­docs
DeveloperKineticaGoogleSADAS s.r.l.informationpartners gmbhSphinx Technologies Inc.
Initial release20122014200620152001
Current release7.1, August 20212.1.12, February 20178.01.03.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree trial version availablecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++JavaScriptC++C++C++
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAIX
Linux
Windows
WindowsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nononoyes
Secondary indexesyesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language infovia JavaScript builder patternyesnoSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
WebDAV
XQuery
XSLT
Proprietary protocol
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
JavaScript.Net
C
C#
C++
Groovy
Java
PHP
Python
C++ infomost other programming languages supported via APIsC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsnonoyes infoon the application serverno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeUsing read-only observersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenoneyes infosychronisation to multiple collectionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDmultiple readers, single writerno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes 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.yes infoGPU vRAM or System RAMyes infousing MemoryDByes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlAccess rights for users and roles on table levelnoAccess rights for users, groups and roles according to SQL-standardDomain, group and role-based access control at the document level and for application servicesno

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More resources
KineticaLovefieldSadas EnginesearchxmlSphinx
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