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DBMS > BigchainDB vs. dBASE vs. Fujitsu Enterprise Postgres vs. HEAVY.AI vs. OpenQM

System Properties Comparison BigchainDB vs. dBASE vs. Fujitsu Enterprise Postgres vs. HEAVY.AI vs. OpenQM

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisondBASE  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonOpenQM infoalso called QM  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.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.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 DBMS
Primary database modelDocument storeRelational DBMSRelational DBMSRelational DBMSMultivalue DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial 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
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Websitewww.bigchaindb.comwww.dbase.comwww.postgresql.fastware.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.dbase.com/­support/­knowledgebasewww.postgresql.fastware.com/­product-manualsdocs.heavy.ai
DeveloperAsthon TatePostgreSQL Global Development Group, Fujitsu Australia Software TechnologyHEAVY.AI, Inc.Rocket Software, originally Martin Phillips
Initial release2016197920161993
Current releasedBASE 2019, 2019Fujitsu Enterprise Postgres 14, January 20225.10, January 20223.4-12
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialcommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoGPLv2, extended commercial license 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 languagePythonCC++ and CUDA
Server operating systemsLinuxDOS infodBase Classic
Windows infodBase Pro
Linux
Windows
LinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeschema-freeyesyesyesyes infowith some exceptions
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.nonoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnonoyesyesno
APIs and other access methodsCLI Client
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Thrift
Vega
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
dBase proprietary IDE.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
All languages supporting JDBC/ODBC/Thrift
Python
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.user defined functionsnoyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonepartitioning by range, list and by hashSharding infoRound robinyes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneSource-replica replicationMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
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 DBMSACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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.yes
User concepts infoAccess controlyesAccess rights for users and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights can be defined down to the item level
More information provided by the system vendor
BigchainDBdBASEFujitsu Enterprise PostgresHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022OpenQM infoalso called QM
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
BigchainDBdBASEFujitsu Enterprise PostgresHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022OpenQM infoalso called QM
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