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DBMS > Apache Phoenix vs. Heroic vs. Hive vs. InfluxDB vs. Linter

System Properties Comparison Apache Phoenix vs. Heroic vs. Hive vs. InfluxDB vs. Linter

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonHeroic  Xexclude from comparisonHive  Xexclude from comparisonInfluxDB  Xexclude from comparisonLinter  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchdata warehouse software for querying and managing large distributed datasets, built on HadoopDBMS for storing time series, events and metricsRDBMS for high security requirements
Primary database modelRelational DBMSTime Series DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Websitephoenix.apache.orggithub.com/­spotify/­heroichive.apache.orgwww.influxdata.com/­products/­influxdb-overviewlinter.ru
Technical documentationphoenix.apache.orgspotify.github.io/­heroiccwiki.apache.org/­confluence/­display/­Hive/­Homedocs.influxdata.com/­influxdb
DeveloperApache Software FoundationSpotifyApache Software Foundation infoinitially developed by Facebookrelex.ru
Initial release20142014201220131990
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.1.3, April 20222.7.6, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache Version 2Open Source infoMIT-License; commercial enterprise version availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaGoC and C++
Server operating systemsLinux
Unix
Windows
All OS with a Java VMLinux
OS X infothrough Homebrew
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data and Stringsyes
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
Secondary indexesyesyes infovia Elasticsearchyesnoyes
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsSQL-like query languageyes
APIs and other access methodsJDBCHQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
Thrift
HTTP API
JSON over UDP
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C++
Java
PHP
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresuser defined functionsnoyes infouser defined functions and integration of map-reducenoyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoin enterprise version onlynone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesselectable replication factorselectable replication factor infoin enterprise version onlySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoDepending on used storage engine
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 rolessimple rights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache PhoenixHeroicHiveInfluxDBLinter
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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