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DBMS > Badger vs. FatDB vs. ObjectBox vs. Snowflake

System Properties Comparison Badger vs. FatDB vs. ObjectBox vs. Snowflake

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonFatDB  Xexclude from comparisonObjectBox  Xexclude from comparisonSnowflake  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A .NET NoSQL DBMS that can integrate with and extend SQL Server.Extremely fast embedded database for small devices, IoT and MobileCloud-based data warehousing service for structured and semi-structured data
Primary database modelKey-value storeDocument store
Key-value store
Object oriented DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerobjectbox.iowww.snowflake.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.objectbox.iodocs.snowflake.net/­manuals/­index.html
DeveloperDGraph LabsFatCloudObjectBox LimitedSnowflake Computing Inc.
Initial release2017201220172014
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC#C and C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
WindowsAndroid
iOS
Linux
macOS
Windows
hosted
Data schemeschema-freeschema-freeyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
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.nonoyes
Secondary indexesnoyesyes
SQL infoSupport of SQLnono infoVia inetgration in SQL Servernoyes
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Proprietary native APICLI Client
JDBC
ODBC
Supported programming languagesGoC#C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infovia applicationsnouser defined functions
Triggersnoyes infovia applicationsnono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factoronline/offline synchronization between client and serveryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
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.nonono
User concepts infoAccess controlnono infoCan implement custom security layer via applicationsyesUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
BadgerFatDBObjectBoxSnowflake
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