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DBMS > Apache Doris vs. Hawkular Metrics vs. Netezza vs. Prometheus vs. Quasardb

System Properties Comparison Apache Doris vs. Hawkular Metrics vs. Netezza vs. Prometheus vs. Quasardb

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolHawkular 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 PureSystemsOpen-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries database
Primary database modelRelational DBMSTime Series DBMSRelational DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.hawkular.orgwww.ibm.com/­products/­netezzaprometheus.ioquasar.ai
Technical documentationgithub.com/­apache/­doris/­wikiwww.hawkular.org/­hawkular-metrics/­docs/­user-guideprometheus.io/­docsdoc.quasar.ai/­master
DeveloperApache Software Foundation, originally contributed from BaiduCommunity supported by Red HatIBMquasardb
Initial release20172014200020152009
Current release1.2.2, February 20233.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGoC++
Server operating systemsLinuxLinux
OS X
Windows
Linux infoincluded in applianceLinux
Windows
BSD
Linux
OS X
Windows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyyes infointeger and binary
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.nonono infoImport of XML data possibleno
Secondary indexesyesnoyesnoyes infowith tags
SQL infoSupport of SQLyesnoyesnoSQL-like query language
APIs and other access methodsJDBC
MySQL client
HTTP RESTJDBC
ODBC
OLE DB
RESTful HTTP/JSON APIHTTP API
Supported programming languagesJavaGo
Java
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functionsnoyesnono
Triggersnoyes infovia Hawkular Alertingnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infobased on CassandraShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on CassandraSource-replica replicationyes infoby FederationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
noneImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes infoTransient mode
User concepts infoAccess controlfine grained access rights according to SQL-standardnoUsers with fine-grained authorization conceptnoCryptographically strong user authentication and audit trail

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More resources
Apache DorisHawkular MetricsNetezza infoAlso called PureData System for Analytics by IBMPrometheusQuasardb
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