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DBMS > Drizzle vs. Firebolt vs. Hawkular Metrics vs. HBase vs. Teradata

System Properties Comparison Drizzle vs. Firebolt vs. Hawkular Metrics vs. HBase vs. Teradata

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonFirebolt  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHBase  Xexclude from comparisonTeradata  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Highly scalable cloud data warehouse and analytics product infoForked from ClickhouseHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Wide-column store based on Apache Hadoop and on concepts of BigTableA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSRelational DBMSTime Series DBMSWide column storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitewww.firebolt.iowww.hawkular.orghbase.apache.orgwww.teradata.com
Technical documentationdocs.firebolt.iowww.hawkular.org/­hawkular-metrics/­docs/­user-guidehbase.apache.org/­book.htmldocs.teradata.com
DeveloperDrizzle project, originally started by Brian AkerFirebolt Analytics Inc.Community supported by Red HatApache Software Foundation infoApache top-level project, originally developed by PowersetTeradata
Initial release20082020201420081984
Current release7.2.4, September 20122.3.4, January 2021Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache 2.0Open Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJava
Server operating systemsFreeBSD
Linux
OS X
hostedLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
hosted
Linux
Data schemeyesyesschema-freeschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesyesoptions to bring your own types, AVROyes
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.nonoyes
Secondary indexesyesyesnonoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLyes infowith proprietary extensionsyesnonoyes infoSQL 2016 + extensions
APIs and other access methodsJDBC.Net
ODBC
RESTful HTTP API
HTTP RESTJava API
RESTful HTTP API
Thrift
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC
C++
Java
PHP
Go
JavaScript (Node.js)
Python
Go
Java
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnononoyes infoCoprocessors in Javayes infoUDFs, stored procedures, table functions in parallel
Triggersno infohooks for callbacks inside the server can be used.noyes infovia Hawkular Alertingyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
depending on storage layerselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standard

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More resources
DrizzleFireboltHawkular MetricsHBaseTeradata
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