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DBMS > LeanXcale vs. OrigoDB vs. searchxml vs. ToroDB

System Properties Comparison LeanXcale vs. OrigoDB vs. searchxml vs. ToroDB

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Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonOrigoDB  Xexclude from comparisonsearchxml  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA fully ACID in-memory object graph databaseDBMS for structured and unstructured content wrapped with an application serverA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelKey-value store
Relational DBMS
Document store
Object oriented DBMS
Native XML DBMS
Search engine
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websitewww.leanxcale.comorigodb.comwww.searchxml.net/­category/­productsgithub.com/­torodb/­server
Technical documentationorigodb.com/­docswww.searchxml.net/­support/­handouts
DeveloperLeanXcaleRobert Friberg et alinformationpartners gmbh8Kdata
Initial release20152009 infounder the name LiveDB20152016
Current release1.0
License infoCommercial or Open SourcecommercialOpen SourcecommercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C++Java
Server operating systemsLinux
Windows
WindowsAll OS with a Java 7 VM
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsyesyes infostring, integer, double, boolean, date, object_id
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 infocan be achieved using .NETyesno
Secondary indexesyesyes
SQL infoSupport of SQLyes infothrough Apache Derbynono
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
.NET Client API
HTTP API
LINQ
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC
Java
Scala
.NetC++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresyesyes infoon the application server
Triggersyes infoDomain Eventsnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infosychronisation to multiple collectionsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesdepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDmultiple readers, single writerno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlRole based authorizationDomain, group and role-based access control at the document level and for application servicesAccess rights for users and roles

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