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DBMS > BigchainDB vs. dBASE vs. HEAVY.AI vs. OpenQM vs. TypeDB

System Properties Comparison BigchainDB vs. dBASE vs. HEAVY.AI vs. OpenQM vs. TypeDB

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisondBASE  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionBigchainDB 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.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareQpenQM is a high-performance, self-tuning, multi-value DBMSTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelDocument storeRelational DBMSRelational DBMSMultivalue DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websitewww.bigchaindb.comwww.dbase.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmtypedb.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.dbase.com/­support/­knowledgebasedocs.heavy.aitypedb.com/­docs
DeveloperAsthon TateHEAVY.AI, Inc.Rocket Software, originally Martin PhillipsVaticle
Initial release20161979201619932016
Current releasedBASE 2019, 20195.10, January 20223.4-122.26.3, January 2024
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoGPLv2, extended commercial license availableOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++ and CUDAJava
Server operating systemsLinuxDOS infodBase Classic
Windows infodBase Pro
LinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyes infowith some exceptionsyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nonoyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnonoyesnono
APIs and other access methodsCLI Client
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.JDBC
ODBC
Thrift
Vega
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
dBase proprietary IDEAll languages supporting JDBC/ODBC/Thrift
Python
.Net
Basic
C
Java
Objective C
PHP
Python
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.noyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoRound robinyesSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneMulti-source replicationyesMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infonot for dBase internal data, but IDE does support transactions when accessing external DBMSnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyesAccess rights for users and rolesfine grained access rights according to SQL-standardAccess rights can be defined down to the item levelyes infoat REST API level; other APIs in progress
More information provided by the system vendor
BigchainDBdBASEHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022OpenQM infoalso called QMTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
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More resources
BigchainDBdBASEHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022OpenQM infoalso called QMTypeDB infoformerly named Grakn
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