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DBMS > BigchainDB vs. dBASE vs. HEAVY.AI vs. Microsoft Azure AI Search vs. Netezza

System Properties Comparison BigchainDB vs. dBASE vs. HEAVY.AI vs. Microsoft Azure AI Search vs. Netezza

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 comparisonMicrosoft Azure AI Search  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  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 hardwareSearch-as-a-service for web and mobile app developmentData warehouse and analytics appliance part of IBM PureSystems
Primary database modelDocument storeRelational DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMSVector 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
Score5.59
Rank#63  Overall
#7  Search engines
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websitewww.bigchaindb.comwww.dbase.comgithub.com/­heavyai/­heavydb
www.heavy.ai
azure.microsoft.com/­en-us/­services/­searchwww.ibm.com/­products/­netezza
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.dbase.com/­support/­knowledgebasedocs.heavy.ailearn.microsoft.com/­en-us/­azure/­search
DeveloperAsthon TateHEAVY.AI, Inc.MicrosoftIBM
Initial release20161979201620152000
Current releasedBASE 2019, 20195.10, January 2022V1
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialOpen Source infoApache Version 2; enterprise edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++ and CUDA
Server operating systemsLinuxDOS infodBase Classic
Windows infodBase Pro
LinuxhostedLinux infoincluded in appliance
Data schemeschema-freeyesyesyesyes
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.nonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnonoyesnoyes
APIs and other access methodsCLI Client
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.JDBC
ODBC
Thrift
Vega
RESTful HTTP APIJDBC
ODBC
OLE DB
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
dBase proprietary IDEAll languages supporting JDBC/ODBC/Thrift
Python
C#
Java
JavaScript
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.nonoyes
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoRound robinSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneMulti-source replicationyes infoImplicit feature of the cloud serviceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
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 DBMSnonoACID
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-standardyes infousing Azure authenticationUsers with fine-grained authorization concept

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More resources
BigchainDBdBASEHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft Azure AI SearchNetezza infoAlso called PureData System for Analytics by IBM
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