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DBMS > Badger vs. BigObject vs. FatDB vs. OpenMLDB

System Properties Comparison Badger vs. BigObject vs. FatDB vs. OpenMLDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBigObject  Xexclude from comparisonFatDB  Xexclude from comparisonOpenMLDB  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.Analytic DBMS for real-time computations and queriesA .NET NoSQL DBMS that can integrate with and extend SQL Server.An open-source machine learning database that provides a feature platform for training and inference
Primary database modelKey-value storeRelational DBMS infoa hierachical model (tree) can be imposedDocument store
Key-value store
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerbigobject.ioopenmldb.ai
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.bigobject.ioopenmldb.ai/­docs/­zh/­main
DeveloperDGraph LabsBigObject, Inc.FatCloud4 Paradigm Inc.
Initial release2017201520122020
Current release2024-2 February 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree community edition availablecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC#C++, Java, Scala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
WindowsLinux
Data schemeschema-freeyesschema-freeFixed schema
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 indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsno infoVia inetgration in SQL Serveryes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
SQLAlchemy
Supported programming languagesGoC#C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresnoLuayes infovia applicationsno
Triggersnonoyes infovia applicationsno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneselectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes
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.noyesyes
User concepts infoAccess controlnonono infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standard

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More resources
BadgerBigObjectFatDBOpenMLDB
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