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DBMS > Badger vs. Cubrid vs. Datastax Enterprise vs. HyperSQL vs. Yaacomo

System Properties Comparison Badger vs. Cubrid vs. Datastax Enterprise vs. HyperSQL vs. Yaacomo

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonCubrid  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.CUBRID is an open-source SQL-based relational database management system with object extensions for OLTPDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelKey-value storeRelational DBMSWide column storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score5.93
Rank#56  Overall
#4  Wide column stores
Score3.23
Rank#93  Overall
#48  Relational DBMS
Websitegithub.com/­dgraph-io/­badgercubrid.com (korean)
cubrid.org (english)
www.datastax.com/­products/­datastax-enterprisehsqldb.orgyaacomo.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgercubrid.org/­manualsdocs.datastax.comhsqldb.org/­web/­hsqlDocsFrame.html
DeveloperDGraph LabsCUBRID Corporation, CUBRID FoundationDataStaxQ2WEB GmbH
Initial release20172008201120012009
Current release11.0, January 20216.8, April 20202.7.2, June 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0commercialOpen Source infobased on BSD licensecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC, C++, JavaJavaJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Windows
Linux
OS X
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesAndroid
Linux
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nonononono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesSQL-like DML and DDL statements (CQL); Spark SQLyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
HTTP API infoJDBC via HTTP
JDBC
ODBC
JDBC
ODBC
Supported programming languagesGoC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC
Java
Server-side scripts infoStored proceduresnoJava Stored ProceduresnoJava, SQL
Triggersnoyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infono "single point of failure"nonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationconfigurable replication factor, datacenter aware, advanced replication for edge computingnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoAtomicity and isolation are supported for single operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonoyesyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users can be defined per objectfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
BadgerCubridDatastax EnterpriseHyperSQL infoalso known as HSQLDBYaacomo
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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BadgerCubridDatastax EnterpriseHyperSQL infoalso known as HSQLDBYaacomo
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