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DBMS > LeanXcale vs. OrigoDB vs. searchxml vs. Sequoiadb

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

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Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonOrigoDB  Xexclude from comparisonsearchxml  Xexclude from comparisonSequoiadb  Xexclude from comparison
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 serverNewSQL database with distributed OLTP and SQL
Primary database modelKey-value store
Relational DBMS
Document store
Object oriented DBMS
Native XML DBMS
Search engine
Document store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websitewww.leanxcale.comorigodb.comwww.searchxml.net/­category/­productswww.sequoiadb.com
Technical documentationorigodb.com/­docswww.searchxml.net/­support/­handoutswww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperLeanXcaleRobert Friberg et alinformationpartners gmbhSequoiadb Ltd.
Initial release20152009 infounder the name LiveDB20152013
Current release1.0
License infoCommercial or Open SourcecommercialOpen SourcecommercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C++C++
Server operating systemsLinux
Windows
WindowsLinux
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsyesyes infooid, date, timestamp, binary, regex
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 indexesyesyesyes
SQL infoSupport of SQLyes infothrough Apache DerbynonoSQL-like query language
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
proprietary protocol using JSON
Supported programming languagesC
Java
Scala
.NetC++ infomost other programming languages supported via APIs.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyesyes infoon the application serverJavaScript
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 methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesdepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDmultiple readers, single writerDocument is locked during a transaction
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.yesyesnono
User concepts infoAccess controlRole based authorizationDomain, group and role-based access control at the document level and for application servicessimple password-based access control

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