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DBMS > Apache Phoenix vs. Databricks vs. StarRocks vs. Yanza

System Properties Comparison Apache Phoenix vs. Databricks vs. StarRocks vs. Yanza

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDatabricks  Xexclude from comparisonStarRocks  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.An open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache DorisTime Series DBMS for IoT Applications
Primary database modelRelational DBMSDocument store
Relational DBMS
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.04
Rank#189  Overall
#88  Relational DBMS
Websitephoenix.apache.orgwww.databricks.comwww.starrocks.ioyanza.com
Technical documentationphoenix.apache.orgdocs.databricks.comdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperApache Software FoundationDatabricksThe Linux Foundation infosince Feb 2023Yanza
Initial release2014201320202015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.5.3, March 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenoyesnono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, Java
Server operating systemsLinux
Unix
Windows
hostedLinuxWindows
Data schemeyes infolate-bound, schema-on-read capabilitiesFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.noyesnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyeswith Databricks SQLyesno
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
JDBC
MySQL protocol
HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Python
R
Scala
Javaany language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsuser defined functions and aggregatesuser defined functionsno
Triggersnonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range and hash)none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
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.yesnono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyRole based access control and fine grained access rightsno
More information provided by the system vendor
Apache PhoenixDatabricksStarRocksYanza
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Apache PhoenixDatabricksStarRocksYanza
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