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DBMS > Apache Phoenix vs. Apache Pinot vs. Hawkular Metrics vs. Transwarp StellarDB

System Properties Comparison Apache Phoenix vs. Apache Pinot vs. Hawkular Metrics vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonApache Pinot  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A distributed graph DBMS built for enterprise-level graph applications
Primary database modelRelational DBMSRelational DBMSTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#125  Overall
#59  Relational DBMS
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score0.00
Rank#385  Overall
#40  Graph DBMS
Websitephoenix.apache.orgpinot.apache.orgwww.hawkular.orgwww.transwarp.cn/­en/­product/­stellardb
Technical documentationphoenix.apache.orgdocs.pinot.apache.orgwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperApache Software FoundationApache Software Foundation and contributorsCommunity supported by Red HatTranswarp
Initial release201420152014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava
Server operating systemsLinux
Unix
Windows
All OS with a Java JDK11 or higherLinux
OS X
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesno
SQL infoSupport of SQLyesSQL-like query languagenoSQL-like query language
APIs and other access methodsJDBCJDBCHTTP RESTOpenCypher
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Go
Java
Python
Go
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsno
Triggersnoyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding infobased on Cassandrahorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoyes

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More resources
Apache PhoenixApache PinotHawkular MetricsTranswarp StellarDB
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