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DBMS > Badger vs. FatDB vs. HugeGraph vs. Microsoft SQL Server

System Properties Comparison Badger vs. FatDB vs. HugeGraph vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonFatDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonMicrosoft SQL Server  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.A fast-speed and highly-scalable Graph DBMSMicrosofts flagship relational DBMS
Primary database modelKey-value storeDocument store
Key-value store
Graph DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial 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#336  Overall
#32  Graph DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Websitegithub.com/­dgraph-io/­badgergithub.com/­hugegraph
hugegraph.apache.org
www.microsoft.com/­en-us/­sql-server
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerhugegraph.apache.org/­docslearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperDGraph LabsFatCloudBaiduMicrosoft
Initial release2017201220181989
Current release0.9SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0commercial inforestricted free version is available
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#JavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
WindowsLinux
macOS
Unix
Linux
Windows
Data schemeschema-freeschema-freeyesyes
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 infoalso supports composite index and range indexyes
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
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesGoC#Groovy
Java
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoyes infovia applicationsasynchronous Gremlin script jobsTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnoyes infovia applicationsnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes infodepending on used storage backend, e.g. Cassandra and HBasetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBaseyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphyes
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.noyesyes
User concepts infoAccess controlnono infoCan implement custom security layer via applicationsUsers, roles and permissionsfine grained access rights according to SQL-standard

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More resources
BadgerFatDBHugeGraphMicrosoft SQL Server
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