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DBMS > BigchainDB vs. dBASE vs. Faircom EDGE vs. Hypertable vs. Kinetica

System Properties Comparison BigchainDB vs. dBASE vs. Faircom EDGE vs. Hypertable vs. Kinetica

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisondBASE  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHypertable  Xexclude from comparisonKinetica  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
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.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsAn open source BigTable implementation based on distributed file systems such as HadoopFully vectorized database across both GPUs and CPUs
Primary database modelDocument storeRelational DBMSKey-value store
Relational DBMS
Wide column storeRelational DBMS
Secondary database modelsSpatial DBMS
Time Series 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
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitewww.bigchaindb.comwww.dbase.comwww.faircom.com/­products/­faircom-edgewww.kinetica.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.dbase.com/­support/­knowledgebasedocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.kinetica.com
DeveloperAsthon TateFairCom CorporationHypertable Inc.Kinetica
Initial release20161979197920092012
Current releasedBASE 2019, 2019V3, October 20200.9.8.11, March 20167.1, August 2021
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialcommercial infoRestricted, free version availableOpen Source infoGNU version 3. Commercial license availablecommercial
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 languagePythonANSI C, C++C++C, C++
Server operating systemsLinuxDOS infodBase Classic
Windows infodBase Pro
Android
Linux infoARM, x86
Raspbian
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or datenoyesyes, ANSI Standard SQL Typesnoyes
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.noyesno
Secondary indexesyesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLnonoyes infoANSI SQL queriesnoSQL-like DML and DDL statements
APIs and other access methodsCLI Client
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
C++ API
Thrift
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
dBase proprietary IDEC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.yes info.Net, JavaScript, C/C++nouser defined functions
Triggersnoyesnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingnoneFile partitioning infoCustomizable business rules for partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneyes infoSynchronous and asynchronous realtime replication based on transaction logsselectable replication factor on file system levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyes infowhen using SQLnoyes
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 DBMSACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyesyes
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.yesyes infoGPU vRAM or System RAM
User concepts infoAccess controlyesAccess rights for users and rolesFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.noAccess rights for users and roles on table level

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More resources
BigchainDBdBASEFaircom EDGE infoformerly c-treeEDGEHypertableKinetica
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