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DBMS > NSDb vs. Tigris

System Properties Comparison NSDb vs. Tigris

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Editorial information provided by DB-Engines
NameNSDb  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelTime Series DBMSDocument store
Key-value store
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.02
Rank#369  Overall
#51  Document stores
#55  Key-value stores
#24  Search engines
#38  Time Series DBMS
Websitensdb.iowww.tigrisdata.com
Technical documentationnsdb.io/­Architecturewww.tigrisdata.com/­docs
DeveloperTigris Data, Inc.
Initial release20172022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, Scala
Server operating systemsLinux
macOS
Linux
macOS
Windows
Data schemeyes
Typing infopredefined data types such as float or dateyes: 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 indexesall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languageno
APIs and other access methodsgRPC
HTTP REST
WebSocket
CLI Client
gRPC
RESTful HTTP API
Supported programming languagesJava
Scala
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresnono
Triggersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentUsing Apache Luceneyes, using FoundationDB
User concepts infoAccess controlAccess rights for users and roles

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More resources
NSDbTigris
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