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DBMS > H2 vs. NSDb

System Properties Comparison H2 vs. NSDb

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Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.69
Rank#48  Overall
#30  Relational DBMS
Score0.00
Rank#350  Overall
#32  Time Series DBMS
Websitewww.h2database.comnsdb.io
Technical documentationwww.h2database.com/­html/­main.htmlnsdb.io/­Architecture
DeveloperThomas Mueller
Initial release20052017
Current release1.4.200, October 2019
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, Scala
Server operating systemsAll OS with a Java VMLinux
macOS
Data schemeyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, string
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 indexed
SQL infoSupport of SQLyesSQL-like query language
APIs and other access methodsJDBC
ODBC
gRPC
HTTP REST
WebSocket
Supported programming languagesJavaJava
Scala
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined Functionsno
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standard

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