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DBMS > Badger vs. Databend vs. FatDB vs. GeoSpock

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

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatabend  Xexclude from comparisonFatDB  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 embeddable, persistent, simple and fast Key-Value Store, written purely in Go.An 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 scale
Primary database modelKey-value storeRelational DBMSDocument store
Key-value store
Relational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score0.28
Rank#287  Overall
#131  Relational DBMS
Websitegithub.com/­dgraph-io/­badgergithub.com/­datafuselabs/­databend
www.databend.com
geospock.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.databend.com
DeveloperDGraph LabsDatabend LabsFatCloudGeoSpock
Initial release201720212012
Current release1.0.59, April 20232.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0commercialcommercial
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 languageGoRustC#Java, Javascript
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hosted
Linux
macOS
Windowshosted
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnonoyestemporal, categorical
SQL infoSupport of SQLnoyesno infoVia inetgration in SQL ServerANSI 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 languagesGoGo
Java
JavaScript (Node.js)
Python
Rust
C#
Server-side scripts infoStored proceduresnonoyes infovia applicationsno
Triggersnonoyes infovia applicationsno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnono
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.nono
User concepts infoAccess controlnoUsers with fine-grained authorization concept, user rolesno infoCan implement custom security layer via applicationsAccess rights for users can be defined per table

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More resources
BadgerDatabendFatDBGeoSpock
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