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

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

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonFatDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonGigaSpaces  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 scaleHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsPerformant, highly scalable DBMS for AI and IoT applications
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Key-value store
Vector DBMS
Secondary database modelsTime Series DBMSGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
geospock.comwww.gigaspaces.comwww.jaguardb.com
Technical documentationdocs.databend.comdocs.gigaspaces.com/­latest/­landing.htmlwww.jaguardb.com/­support.html
DeveloperDatabend LabsFatCloudGeoSpockGigaspaces TechnologiesDataJaguar, Inc.
Initial release2021201220002015
Current release1.0.59, April 20232.0, September 201915.5, September 20203.3 July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache Version 2; Commercial licenses availableOpen 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, JavascriptJava, C++, .NetC++ infothe server part. Clients available in other languages
Server operating systemshosted
Linux
macOS
WindowshostedLinux
macOS
Solaris
Windows
Linux
Data schemeyesschema-freeyesschema-freeyes
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 infoXML can be used for describing objects metadatano
Secondary indexesnoyestemporal, categoricalyesyes
SQL infoSupport of SQLyesno infoVia inetgration in SQL ServerANSI SQL for query only (using Presto)SQL-99 for query and DML 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
JDBCGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C#.Net
C++
Java
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyes infovia applicationsnoyesno
Triggersnoyes infovia applicationsnoyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingAutomatic shardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACIDno
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.noyesno
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 tableRole-based access controlrights management via user accounts

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More resources
DatabendFatDBGeoSpockGigaSpacesJaguarDB
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