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DBMS > Apache Phoenix vs. Hawkular Metrics vs. InfluxDB vs. OrigoDB vs. YottaDB

System Properties Comparison Apache Phoenix vs. Hawkular Metrics vs. InfluxDB vs. OrigoDB vs. YottaDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonInfluxDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonYottaDB  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.DBMS for storing time series, events and metricsA fully ACID in-memory object graph databaseA fast and solid embedded Key-value store
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSDocument store
Object oriented DBMS
Key-value store
Secondary database modelsSpatial DBMS infowith GEO packageRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitephoenix.apache.orgwww.hawkular.orgwww.influxdata.com/­products/­influxdb-overvieworigodb.comyottadb.com
Technical documentationphoenix.apache.orgwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.influxdata.com/­influxdborigodb.com/­docsyottadb.com/­resources/­documentation
DeveloperApache Software FoundationCommunity supported by Red HatRobert Friberg et alYottaDB, LLC
Initial release2014201420132009 infounder the name LiveDB2001
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.7.6, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version availableOpen SourceOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGoC#C
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
Linux
OS X infothrough Homebrew
Linux
Windows
Docker
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data and StringsUser defined using .NET types and collectionsno
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.nononono infocan be achieved using .NETno
Secondary indexesyesnonoyesno
SQL infoSupport of SQLyesnoSQL-like query languagenoby using the Octo plugin
APIs and other access methodsJDBCHTTP RESTHTTP API
JSON over UDP
.NET Client API
HTTP API
LINQ
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Go
Java
Python
Ruby
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.NetC
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresuser defined functionsnonoyes
Triggersnoyes infovia Hawkular Alertingnoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding infoin enterprise version onlyhorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on Cassandraselectable replication factor infoin enterprise version onlySource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnononono
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 integritynononodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoDepending on used storage engineyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynosimple rights management via user accountsRole based authorizationUsers and groups based on OS-security mechanisms
More information provided by the system vendor
Apache PhoenixHawkular MetricsInfluxDBOrigoDBYottaDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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