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DBMS > BaseX vs. BigchainDB vs. dBASE vs. GridDB vs. HEAVY.AI

System Properties Comparison BaseX vs. BigchainDB vs. dBASE vs. GridDB vs. HEAVY.AI

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonBigchainDB  Xexclude from comparisondBASE  Xexclude from comparisonGridDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.BigchainDB is scalable blockchain database offering decentralization, immutability and native assetsdBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.Scalable in-memory time series database optimized for IoT and Big DataA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelNative XML DBMSDocument storeRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score0.79
Rank#212  Overall
#36  Document stores
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Websitebasex.orgwww.bigchaindb.comwww.dbase.comgriddb.netgithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationdocs.basex.orgbigchaindb.readthedocs.io/­en/­latestwww.dbase.com/­support/­knowledgebasedocs.griddb.netdocs.heavy.ai
DeveloperBaseX GmbHAsthon TateToshiba CorporationHEAVY.AI, Inc.
Initial release20072016197920132016
Current release10.7, August 2023dBASE 2019, 20195.1, August 20225.10, January 2022
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoAGPL v3commercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaPythonC++C++ and CUDA
Server operating systemsLinux
OS X
Windows
LinuxDOS infodBase Classic
Windows infodBase Pro
LinuxLinux
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesnoyesyes infonumerical, string, blob, geometry, boolean, timestampyes
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.nonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnononoSQL92, SQL-like TQL (Toshiba Query Language)yes
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
CLI Client
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
Vega
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
Go
Haskell
Java
JavaScript
Python
Ruby
dBase proprietary IDEC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresyesno infoThe IDE can access stored procedures in other database systems.nono
Triggersyes infovia eventsnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factornoneSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSACID at container levelno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsyesAccess rights for users and rolesAccess rights for users can be defined per databasefine grained access rights according to SQL-standard
More information provided by the system vendor
BaseXBigchainDBdBASEGridDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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BaseXBigchainDBdBASEGridDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
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