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DBMS > LeanXcale vs. OrigoDB vs. TDSQL for MySQL

System Properties Comparison LeanXcale vs. OrigoDB vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonOrigoDB  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA fully ACID in-memory object graph databaseA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelKey-value store
Relational DBMS
Document store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
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
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitewww.leanxcale.comorigodb.comwww.tencentcloud.com/­products/­dcdb
Technical documentationorigodb.com/­docswww.tencentcloud.com/­document/­product/­1042
DeveloperLeanXcaleRobert Friberg et alTencent
Initial release20152009 infounder the name LiveDB2013
License infoCommercial or Open SourcecommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#
Server operating systemsLinux
Windows
hosted
Data schemeyesyesyes
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsyes
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 .NETno
Secondary indexesyesyes
SQL infoSupport of SQLyes infothrough Apache Derbynoyes
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
.NET Client API
HTTP API
LINQ
JDBC
ODBC
Supported programming languagesC
Java
Scala
.NetC
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyes
Triggersyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesdepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyes
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 authorizationUsers with fine-grained authorization concept

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More resources
LeanXcaleOrigoDBTDSQL for MySQL
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