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DBMS > Badger vs. GBase vs. Hyprcubd vs. NuoDB vs. Spark SQL

System Properties Comparison Badger vs. GBase vs. Hyprcubd vs. NuoDB vs. Spark SQL

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGBase  Xexclude from comparisonHyprcubd  Xexclude from comparisonNuoDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.An analytical database for business intelligence with large customers in China.Serverless Time Series DBMSNuoDB is a webscale distributed database that supports SQL and ACID transactionsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#325  Overall
#49  Key-value stores
Score1.04
Rank#190  Overall
#88  Relational DBMS
Score0.99
Rank#195  Overall
#92  Relational DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.gbase.cnhyprcubd.com (offline)www.3ds.com/­nuodb-distributed-sql-databasespark.apache.org/­sql
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdoc.nuodb.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDGraph LabsHyprcubd, Inc.Dassault Systèmes infooriginally NuoDB, Inc.Apache Software Foundation
Initial release201720132014
Current releaseGBase 8a3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercial infolimited edition freeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoGoC++Scala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyes infotime, int, uint, float, stringyesyes
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.nononono
Secondary indexesnonoyesno
SQL infoSupport of SQLnoSQL-like query languageyesSQL-like DML and DDL statements
APIs and other access methodsgRPC (https)ADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesGo.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonoJava, SQLno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnonedata is dynamically stored/cached on the nodes where it is read/writtenyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoManaged transparently by NuoDBnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infotunable commit protocolno
Concurrency infoSupport for concurrent manipulation of datayesnoyes infoMVCCyes
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.nonoyes infoTemporary tableno
User concepts infoAccess controlnotoken accessStandard SQL roles/ privileges, Administrative Usersno

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More resources
BadgerGBaseHyprcubdNuoDBSpark SQL
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