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DBMS > Apache Doris vs. Apache Phoenix vs. Drizzle vs. EsgynDB vs. Hawkular Metrics

System Properties Comparison Apache Doris vs. Apache Phoenix vs. Drizzle vs. EsgynDB vs. Hawkular Metrics

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonApache Phoenix  Xexclude from comparisonDrizzle  Xexclude from comparisonEsgynDB  Xexclude from comparisonHawkular Metrics  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.
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolA scale-out RDBMS with evolutionary schema built on Apache HBaseMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Websitedoris.apache.org
github.com/­apache/­doris
phoenix.apache.orgwww.esgyn.cnwww.hawkular.org
Technical documentationgithub.com/­apache/­doris/­wikiphoenix.apache.orgwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperApache Software Foundation, originally contributed from BaiduApache Software FoundationDrizzle project, originally started by Brian AkerEsgynCommunity supported by Red Hat
Initial release20172014200820152014
Current release1.2.2, February 20235.0-HBase2, July 2018 and 4.15-HBase1, December 20197.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoGNU GPLcommercialOpen Source infoApache 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 languageJavaJavaC++C++, JavaJava
Server operating systemsLinuxLinux
Unix
Windows
FreeBSD
Linux
OS X
LinuxLinux
OS X
Windows
Data schemeyesyes infolate-bound, schema-on-read capabilitiesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesyesno
SQL infoSupport of SQLyesyesyes infowith proprietary extensionsyesno
APIs and other access methodsJDBC
MySQL client
JDBCJDBCADO.NET
JDBC
ODBC
HTTP REST
Supported programming languagesJavaC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C++
Java
PHP
All languages supporting JDBC/ODBC/ADO.NetGo
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnoJava Stored Proceduresno
Triggersnonono infohooks for callbacks inside the server can be used.noyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Multi-source replication between multi datacentersselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardno

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More resources
Apache DorisApache PhoenixDrizzleEsgynDBHawkular Metrics
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