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DBMS > Apache Phoenix vs. EXASOL vs. Hawkular Metrics vs. JanusGraph vs. Kdb

System Properties Comparison Apache Phoenix vs. EXASOL vs. Hawkular Metrics vs. JanusGraph vs. Kdb

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonEXASOL  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonKdb  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017High performance Time Series DBMS
Primary database modelRelational DBMSRelational DBMSTime Series DBMSGraph DBMSTime Series DBMS
Vector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Websitephoenix.apache.orgwww.exasol.comwww.hawkular.orgjanusgraph.orgkx.com
Technical documentationphoenix.apache.orgwww.exasol.com/­resourceswww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.janusgraph.orgcode.kx.com
DeveloperApache Software FoundationExasolCommunity supported by Red HatLinux Foundation; originally developed as Titan by AureliusKx Systems, a division of First Derivatives plc
Initial release20142000201420172000 infokdb was released 2000, kdb+ in 2003
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20190.6.3, February 20233.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoApache 2.0commercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaq
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeyesyes
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.nonononoyes
Secondary indexesyesyesnoyesyes infotable attribute 'grouped'
SQL infoSupport of SQLyesyesnonoSQL-like query language (q)
APIs and other access methodsJDBC.Net
JDBC
ODBC
WebSocket
HTTP RESTJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Java
Lua
Python
R
Go
Java
Python
Ruby
Clojure
Java
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnoyesuser defined functions
Triggersnoyesyes infovia Hawkular Alertingyesyes infowith views
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on Cassandrayes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)horizontal 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 integrationyes infoHadoop integrationnoyes infovia Faunus, a graph analytics engineno infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
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-tenancyAccess rights for users, groups and roles according to SQL-standardnoUser authentification and security via Rexster Graph Serverrights management via user accounts
More information provided by the system vendor
Apache PhoenixEXASOLHawkular MetricsJanusGraph infosuccessor of TitanKdb
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 PhoenixEXASOLHawkular MetricsJanusGraph infosuccessor of TitanKdb
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