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DBMS > Databend vs. FatDB vs. GeoSpock vs. Hive vs. JaguarDB

System Properties Comparison Databend vs. FatDB vs. GeoSpock vs. Hive vs. JaguarDB

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonFatDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonHive  Xexclude from comparisonJaguarDB  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.Spatial and temporal data processing engine for extreme data scaledata warehouse software for querying and managing large distributed datasets, built on HadoopPerformant, highly scalable DBMS for AI and IoT applications
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSRelational DBMSKey-value store
Vector DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
geospock.comhive.apache.orgwww.jaguardb.com
Technical documentationdocs.databend.comcwiki.apache.org/­confluence/­display/­Hive/­Homewww.jaguardb.com/­support.html
DeveloperDatabend LabsFatCloudGeoSpockApache Software Foundation infoinitially developed by FacebookDataJaguar, Inc.
Initial release2021201220122015
Current release1.0.59, April 20232.0, September 20193.1.3, April 20223.3 July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache Version 2Open Source infoGPL V3.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC#Java, JavascriptJavaC++ infothe server part. Clients available in other languages
Server operating systemshosted
Linux
macOS
WindowshostedAll OS with a Java VMLinux
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesnoyestemporal, categoricalyesyes
SQL infoSupport of SQLyesno infoVia inetgration in SQL ServerANSI SQL for query only (using Presto)SQL-like DML and DDL statementsA subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBCJDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C#C++
Java
PHP
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyes infovia applicationsnoyes infouser defined functions and integration of map-reduceno
Triggersnoyes infovia applicationsnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingAutomatic shardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorselectable replication factorMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesno infoCan implement custom security layer via applicationsAccess rights for users can be defined per tableAccess rights for users, groups and rolesrights management via user accounts

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DatabendFatDBGeoSpockHiveJaguarDB
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