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

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

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisondBASE  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHugeGraph  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.Hawkular 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 hardwareA fast-speed and highly-scalable Graph DBMS
Primary database modelDocument storeRelational DBMSTime Series DBMSRelational DBMSGraph 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
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score0.15
Rank#339  Overall
#33  Graph DBMS
Websitewww.bigchaindb.comwww.dbase.comwww.hawkular.orggithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­hugegraph
hugegraph.apache.org
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.dbase.com/­support/­knowledgebasewww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.heavy.aihugegraph.apache.org/­docs
DeveloperAsthon TateCommunity supported by Red HatHEAVY.AI, Inc.Baidu
Initial release20161979201420162018
Current releasedBASE 2019, 20195.10, January 20220.9
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoApache Version 2.0
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 languagePythonJavaC++ and CUDAJava
Server operating systemsLinuxDOS infodBase Classic
Windows infodBase Pro
Linux
OS X
Windows
LinuxLinux
macOS
Unix
Data schemeschema-freeyesschema-freeyesyes
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.nononono
Secondary indexesyesnonoyes infoalso supports composite index and range index
SQL infoSupport of SQLnononoyesno
APIs and other access methodsCLI Client
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.HTTP RESTJDBC
ODBC
Thrift
Vega
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
dBase proprietary IDEGo
Java
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
Groovy
Java
Python
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.nonoasynchronous Gremlin script jobs
Triggersnoyes infovia Hawkular Alertingnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infobased on CassandraSharding infoRound robinyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneselectable replication factor infobased on CassandraMulti-source replicationyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononovia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnonoyes infoedges in graph
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.noyesyes
User concepts infoAccess controlyesAccess rights for users and rolesnofine grained access rights according to SQL-standardUsers, roles and permissions

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More resources
BigchainDBdBASEHawkular MetricsHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HugeGraph
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