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DBMS > Badger vs. gStore vs. HEAVY.AI vs. jBASE

System Properties Comparison Badger vs. gStore vs. HEAVY.AI vs. jBASE

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisongStore  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonjBASE  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A native Graph DBMS to store and maintain very large RDF datasets.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA robust multi-value DBMS comprising development tools and middleware
Primary database modelKey-value storeGraph DBMS
RDF store
Relational DBMSMultivalue DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.04
Rank#359  Overall
#37  Graph DBMS
#18  RDF stores
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Websitegithub.com/­dgraph-io/­badgeren.gstore.cngithub.com/­heavyai/­heavydb
www.heavy.ai
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbase
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgeren.gstore.cn/­#/­enDocsdocs.heavy.aidocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperDGraph LabsHEAVY.AI, Inc.Rocket Software (formerly Zumasys)
Initial release2017201620161991
Current release1.2, November 20235.10, January 20225.7
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSDOpen Source infoApache Version 2; enterprise edition availablecommercial
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++C++ and CUDA
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinuxAIX
Linux
Windows
Data schemeschema-freeschema-free and OWL/RDFS-schema supportyesschema-free
Typing infopredefined data types such as float or datenoyesyesoptional
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 indexesnono
SQL infoSupport of SQLnonoyesEmbedded SQL for jBASE in BASIC
APIs and other access methodsHTTP API
SPARQL 1.1
JDBC
ODBC
Thrift
Vega
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesGoC++
Java
JavaScript (Node.js)
PHP
Python
All languages supporting JDBC/ODBC/Thrift
Python
.Net
Basic
Jabbascript
Java
Server-side scripts infoStored proceduresnoyesnoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoACID
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.nonoyesyes
User concepts infoAccess controlnoUsers, roles and permissions, Role-Based Access Control (RBAC) supportedfine grained access rights according to SQL-standardAccess rights can be defined down to the item level

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More resources
BadgergStoreHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022jBASE
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