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DBMS > Apache Phoenix vs. Kdb vs. Newts vs. openGemini

System Properties Comparison Apache Phoenix vs. Kdb vs. Newts vs. openGemini

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonKdb  Xexclude from comparisonNewts  Xexclude from comparisonopenGemini  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseHigh performance Time Series DBMSTime Series DBMS based on CassandraAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalability
Primary database modelRelational DBMSTime Series DBMS
Vector DBMS
Time Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.01
Rank#375  Overall
#39  Time Series DBMS
Websitephoenix.apache.orgkx.comopennms.github.io/­newtswww.opengemini.org
github.com/­openGemini
Technical documentationphoenix.apache.orgcode.kx.comgithub.com/­OpenNMS/­newts/­wikidocs.opengemini.org/­guide
DeveloperApache Software FoundationKx Systems, a division of First Derivatives plcOpenNMS GroupHuawei and openGemini community
Initial release20142000 infokdb was released 2000, kdb+ in 200320142022
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.6, May 20181.1, July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree 32-bit versionOpen Source infoApache 2.0Open Source infoApache Version 2.0
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 languageJavaqJavaGo
Server operating systemsLinux
Unix
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesInteger, Float, Boolean, String
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 indexesyesyes infotable attribute 'grouped'noyes
SQL infoSupport of SQLyesSQL-like query language (q)noSQL-like query language
APIs and other access methodsJDBCHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
HTTP REST
Java API
HTTP REST
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
JavaC
C++
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnono
Triggersnoyes infowith viewsnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationselectable replication factor infobased on Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationno infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
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.yesyesnoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyrights management via user accountsnoAdministrators and common users accounts
More information provided by the system vendor
Apache PhoenixKdbNewtsopenGemini
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
Apache PhoenixKdbNewtsopenGemini
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Recent citations in the news

Supercharge SQL on Your Data in Apache HBase with Apache Phoenix | Amazon Web Services
2 June 2016, AWS Blog

Bridge the SQL-NoSQL gap with Apache Phoenix
4 February 2016, InfoWorld

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28 June 2016, ADT Magazine

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25 September 2018, azure.microsoft.com

Amazon EMR 4.7.0 – Apache Tez & Phoenix, Updates to Existing Apps | Amazon Web Services
2 June 2016, AWS Blog

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18 May 2023, PR Newswire

KX Brings the Power and Performance of kdb+ to Python Developers with PyKX
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