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DBMS > FeatureBase vs. Hawkular Metrics vs. Hive vs. mSQL vs. ToroDB

System Properties Comparison FeatureBase vs. Hawkular Metrics vs. Hive vs. mSQL vs. ToroDB

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHive  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.data warehouse software for querying and managing large distributed datasets, built on HadoopmSQL (Mini SQL) is a simple and lightweight RDBMSA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Websitewww.featurebase.comwww.hawkular.orghive.apache.orghughestech.com.au/­products/­msqlgithub.com/­torodb/­server
Technical documentationdocs.featurebase.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidecwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperMolecula and Pilosa Open Source ContributorsCommunity supported by Red HatApache Software Foundation infoinitially developed by FacebookHughes Technologies8Kdata
Initial release20172014201219942016
Current release2022, May 20223.1.3, April 20224.4, October 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2commercial infofree licenses can be providedOpen Source infoAGPL-V3
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 languageGoJavaJavaCJava
Server operating systemsLinux
macOS
Linux
OS X
Windows
All OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
All OS with a Java 7 VM
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infostring, integer, double, boolean, date, object_id
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 indexesnonoyesyes
SQL infoSupport of SQLSQL queriesnoSQL-like DML and DDL statementsA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
HTTP RESTJDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesJava
Python
Go
Java
Python
Ruby
C++
Java
PHP
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceno
Triggersnoyes infovia Hawkular Alertingnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandraselectable replication factornoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencynoneEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlnoAccess rights for users, groups and rolesnoAccess rights for users and roles

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More resources
FeatureBaseHawkular MetricsHivemSQL infoMini SQLToroDB
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