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DBMS > Apache Phoenix vs. Hawkular Metrics vs. ITTIA vs. Kdb

System Properties Comparison Apache Phoenix vs. Hawkular Metrics vs. ITTIA vs. Kdb

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonITTIA  Xexclude from comparisonKdb  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Edge Time Series DBMS with Real-Time Stream ProcessingHigh performance Time Series DBMS
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSTime Series DBMS
Vector DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#125  Overall
#59  Relational DBMS
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score0.36
Rank#272  Overall
#22  Time Series DBMS
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Websitephoenix.apache.orgwww.hawkular.orgwww.ittia.comkx.com
Technical documentationphoenix.apache.orgwww.hawkular.org/­hawkular-metrics/­docs/­user-guidecode.kx.com
DeveloperApache Software FoundationCommunity supported by Red HatITTIA L.L.C.Kx Systems, a division of First Derivatives plc
Initial release2014201420072000 infokdb was released 2000, kdb+ in 2003
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20198.73.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialcommercial infofree 32-bit version
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 languageJavaJavaC and C++q
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeFixed schemayes
Typing infopredefined data types such as float or dateyesyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyes
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.nononoyes
Secondary indexesyesnoyesyes infotable attribute 'grouped'
SQL infoSupport of SQLyesnoyesSQL-like query language (q)
APIs and other access methodsJDBCHTTP RESTJDBC
ODBC
RESTful HTTP API
WebSocket
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Go
Java
Python
Ruby
C
C++
JavaScript (Node.js)
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsnoyesuser defined functions
Triggersnoyes infovia Hawkular Alertingnoyes infowith views
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandrahorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on CassandrayesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.yesnoyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoDatabase file passwordsrights management via user accounts
More information provided by the system vendor
Apache PhoenixHawkular MetricsITTIAKdb
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 PhoenixHawkular MetricsITTIAKdb
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