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DBMS > JaguarDB vs. LeanXcale vs. NSDb vs. OpenTenBase

System Properties Comparison JaguarDB vs. LeanXcale vs. NSDb vs. OpenTenBase

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Editorial information provided by DB-Engines
NameJaguarDB  Xexclude from comparisonLeanXcale  Xexclude from comparisonNSDb  Xexclude from comparisonOpenTenBase  Xexclude from comparison
DescriptionPerformant, highly scalable DBMS for AI and IoT applicationsA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesAn enterprise-level distributed HTAP open source database based on PostgreSQL
Primary database modelKey-value store
Vector DBMS
Key-value store
Relational DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitewww.jaguardb.comwww.leanxcale.comnsdb.iogithub.com/­OpenTenBase/­OpenTenBase
www.opentenbase.org
Technical documentationwww.jaguardb.com/­support.htmlnsdb.io/­Architecturedocs.opentenbase.org
docs.opentenbase.org/­en
DeveloperDataJaguar, Inc.LeanXcaleOpenAtom Foundation, previously Tencent
Initial release201520152017
Current release3.3 July 20232.5, January 2024
License infoCommercial or Open SourceOpen Source infoGPL V3.0commercialOpen Source infoApache Version 2.0Open Source infoBSD-3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ infothe server part. Clients available in other languagesJava, Scala
Server operating systemsLinuxLinux
macOS
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyes
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.nono
Secondary indexesyesall fields are automatically indexedyes
SQL infoSupport of SQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infothrough Apache DerbySQL-like query languageyes
APIs and other access methodsJDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
gRPC
HTTP REST
WebSocket
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
Java
Scala
Java
Scala
C
Go
Java
PHP
Python
Server-side scripts infoStored proceduresnono
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlrights management via user accountsAccess rights for users, groups and roles according to SQL-standard

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