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DBMS > LeanXcale vs. Sphinx vs. UniData,UniVerse

System Properties Comparison LeanXcale vs. Sphinx vs. UniData,UniVerse

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Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonSphinx  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesOpen source search engine for searching in data from different sources, e.g. relational databasesMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelKey-value store
Relational DBMS
Search engineMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#283  Overall
#41  Key-value stores
#128  Relational DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Score3.47
Rank#93  Overall
#2  Multivalue DBMS
Websitewww.leanxcale.comsphinxsearch.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationsphinxsearch.com/­docsdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperLeanXcaleSphinx Technologies Inc.Rocket Software
Initial release201520011985
Current release3.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
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
Solaris
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or datenooptional
Secondary indexesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyes infothrough Apache DerbySQL-like query language (SphinxQL)yes
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Proprietary protocolJava API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC
Java
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnoyes
Triggersnoyes infoU2 Basic
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 nodesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes 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 according to SQL-standard and operating system based

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More resources
LeanXcaleSphinxUniData,UniVerse
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