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

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

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonHBase  Xexclude from comparisonHugeGraph  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Wide-column store based on Apache Hadoop and on concepts of BigTableA fast-speed and highly-scalable Graph DBMSMicrosofts flagship relational DBMS
Primary database modelKey-value storeWide column storeGraph DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerhbase.apache.orggithub.com/­hugegraph
hugegraph.apache.org
www.microsoft.com/­en-us/­sql-server
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerhbase.apache.org/­book.htmlhugegraph.apache.org/­docslearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperDGraph LabsApache Software Foundation infoApache top-level project, originally developed by PowersetBaiduMicrosoft
Initial release2017200820181989
Current release2.3.4, January 20210.9SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache version 2Open 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

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SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageGoJavaJavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Unix
Windows infousing Cygwin
Linux
macOS
Unix
Linux
Windows
Data schemeschema-freeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or datenooptions to bring your own types, AVROyesyes
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.nononoyes
Secondary indexesnonoyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsJava API
RESTful HTTP API
Thrift
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesGoC
C#
C++
Groovy
Java
PHP
Python
Scala
Groovy
Java
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javaasynchronous Gremlin script jobsTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnoyesnoyes
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 nodesnoneMulti-source replication
Source-replica replication
yes 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 systemnoneImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)ACIDACID
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.noyesyesyes
User concepts infoAccess controlnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers, roles and permissionsfine grained access rights according to SQL-standard

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More resources
BadgerHBaseHugeGraphMicrosoft SQL Server
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