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DBMS > Databend vs. FatDB vs. GeoMesa vs. GeoSpock

System Properties Comparison Databend vs. FatDB vs. GeoMesa vs. GeoSpock

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonFatDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonGeoSpock  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA .NET NoSQL DBMS that can integrate with and extend SQL Server.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Spatial and temporal data processing engine for extreme data scale
Primary database modelRelational DBMSDocument store
Key-value store
Spatial DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#287  Overall
#131  Relational DBMS
Score0.78
Rank#214  Overall
#4  Spatial DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.geomesa.orggeospock.com
Technical documentationdocs.databend.comwww.geomesa.org/­documentation/­stable/­user/­index.html
DeveloperDatabend LabsFatCloudCCRi and othersGeoSpock
Initial release202120122014
Current release1.0.59, April 20235.0.1, July 20242.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC#ScalaJava, Javascript
Server operating systemshosted
Linux
macOS
Windowshosted
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesnoyesyestemporal, categorical
SQL infoSupport of SQLyesno infoVia inetgration in SQL ServernoANSI SQL for query only (using Presto)
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C#
Server-side scripts infoStored proceduresnoyes infovia applicationsnono
Triggersnoyes infovia applicationsnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingdepending on storage layerAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factordepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
depending on storage layerImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layerno
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesno infoCan implement custom security layer via applicationsyes infodepending on the DBMS used for storageAccess rights for users can be defined per table

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More resources
DatabendFatDBGeoMesaGeoSpock
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