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DBMS > BigchainDB vs. dBASE vs. eXtremeDB vs. Hawkular Metrics vs. HEAVY.AI

System Properties Comparison BigchainDB vs. dBASE vs. eXtremeDB vs. Hawkular Metrics vs. HEAVY.AI

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisondBASE  Xexclude from comparisoneXtremeDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  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.Natively in-memory DBMS with options for persistency, high-availability and clusteringHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelDocument storeRelational DBMSRelational DBMS
Time Series DBMS
Time Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.82
Rank#212  Overall
#36  Document stores
Score11.18
Rank#44  Overall
#28  Relational DBMS
Score0.73
Rank#227  Overall
#104  Relational DBMS
#18  Time Series DBMS
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score2.10
Rank#126  Overall
#61  Relational DBMS
Websitewww.bigchaindb.comwww.dbase.comwww.mcobject.comwww.hawkular.orggithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.dbase.com/­support/­knowledgebasewww.mcobject.com/­docs/­extremedb.htmwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.heavy.ai
DeveloperAsthon TateMcObjectCommunity supported by Red HatHEAVY.AI, Inc.
Initial release20161979200120142016
Current releasedBASE 2019, 20198.2, 20215.10, January 2022
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialcommercialOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition 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 languagePythonC and C++JavaC++ and CUDA
Server operating systemsLinuxDOS infodBase Classic
Windows infodBase Pro
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
Linux
Data schemeschema-freeyesyesschema-freeyes
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.nono infosupport of XML interfaces availablenono
Secondary indexesyesyesnono
SQL infoSupport of SQLnonoyes infowith the option: eXtremeSQLnoyes
APIs and other access methodsCLI Client
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources..NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
HTTP RESTJDBC
ODBC
Thrift
Vega
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
dBase proprietary IDE.Net
C
C#
C++
Java
Lua
Python
Scala
Go
Java
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.yesnono
Triggersnoyes infoby defining eventsyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning / shardingSharding infobased on CassandraSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
selectable replication factor infobased on CassandraMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate 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 DBMSACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
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.yesnoyes
User concepts infoAccess controlyesAccess rights for users and rolesnofine grained access rights according to SQL-standard
More information provided by the system vendor
BigchainDBdBASEeXtremeDBHawkular MetricsHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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BigchainDBdBASEeXtremeDBHawkular MetricsHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
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