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DBMS > BigchainDB vs. Faircom EDGE vs. Hawkular Metrics vs. Netezza

System Properties Comparison BigchainDB vs. Faircom EDGE vs. Hawkular Metrics vs. Netezza

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Data warehouse and analytics appliance part of IBM PureSystems
Primary database modelDocument storeKey-value store
Relational DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websitewww.bigchaindb.comwww.faircom.com/­products/­faircom-edgewww.hawkular.orgwww.ibm.com/­products/­netezza
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperFairCom CorporationCommunity supported by Red HatIBM
Initial release2016197920142000
Current releaseV3, October 2020
License infoCommercial or Open SourceOpen Source infoAGPL v3commercial infoRestricted, free version availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonANSI C, C++Java
Server operating systemsLinuxAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
OS X
Windows
Linux infoincluded in appliance
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or datenoyes, ANSI Standard SQL Typesyesyes
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 indexesyesnoyes
SQL infoSupport of SQLnoyes infoANSI SQL queriesnoyes
APIs and other access methodsCLI Client
RESTful HTTP API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
HTTP RESTJDBC
ODBC
OLE DB
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Go
Java
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++noyes
Triggersyesyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesShardingFile partitioning infoCustomizable business rules for partitioningSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoSynchronous and asynchronous realtime replication based on transaction logsselectable replication factor infobased on CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynoyes infowhen using SQLnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyesFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.noUsers with fine-grained authorization concept

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More resources
BigchainDBFaircom EDGE infoformerly c-treeEDGEHawkular MetricsNetezza infoAlso called PureData System for Analytics by IBM
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