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DBMS > GeoMesa vs. NSDb vs. Transwarp StellarDB

System Properties Comparison GeoMesa vs. NSDb vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonNSDb  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA distributed graph DBMS built for enterprise-level graph applications
Primary database modelSpatial DBMSTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.00
Rank#383  Overall
#39  Graph DBMS
Websitewww.geomesa.orgnsdb.iowww.transwarp.cn/­en/­product/­stellardb
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlnsdb.io/­Architecture
DeveloperCCRi and othersTranswarp
Initial release20142017
Current release4.0.5, February 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJava, Scala
Server operating systemsLinux
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 SQLnoSQL-like query languageSQL-like query language
APIs and other access methodsgRPC
HTTP REST
WebSocket
OpenCypher
Supported programming languagesJava
Scala
Server-side scripts infoStored proceduresnono
Triggersno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layer
User concepts infoAccess controlyes infodepending on the DBMS used for storageyes

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More resources
GeoMesaNSDbTranswarp StellarDB
DB-Engines blog posts

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