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DBMS > Badger vs. EXASOL vs. GBase vs. Hyprcubd vs. OpenQM

System Properties Comparison Badger vs. EXASOL vs. GBase vs. Hyprcubd vs. OpenQM

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonEXASOL  Xexclude from comparisonGBase  Xexclude from comparisonHyprcubd  Xexclude from comparisonOpenQM infoalso called QM  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.High-performance, in-memory, MPP database specifically designed for in-memory analytics.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Serverless Time Series DBMSQpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelKey-value storeRelational DBMSRelational DBMSTime Series DBMSMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Websitegithub.com/­dgraph-io/­badgerwww.exasol.comwww.gbase.cnhyprcubd.com (offline)www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.exasol.com/­resources
DeveloperDGraph LabsExasolGeneral Data Technology Co., Ltd.Hyprcubd, Inc.Rocket Software, originally Martin Phillips
Initial release2017200020041993
Current releaseGBase 8a, GBase 8s, GBase 8c3.4-12
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercialOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC, Java, PythonGo
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxhostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeschema-freeyesyesyesyes infowith some exceptions
Typing infopredefined data types such as float or datenoyesyesyes infotime, int, uint, float, string
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.nonoyesnoyes
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnoyesStandard with numerous extensionsSQL-like query languageno
APIs and other access methods.Net
JDBC
ODBC
WebSocket
ADO.NET
C API
JDBC
ODBC
gRPC (https)
Supported programming languagesGoJava
Lua
Python
R
C#.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsnoyes
Triggersnoyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning (by range, list and hash) and vertical partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardyestoken accessAccess rights can be defined down to the item level

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More resources
BadgerEXASOLGBaseHyprcubdOpenQM infoalso called QM
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