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DBMS > Apache Phoenix vs. HarperDB vs. Hive vs. InfluxDB

System Properties Comparison Apache Phoenix vs. HarperDB vs. Hive vs. InfluxDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonHarperDB  Xexclude from comparisonHive  Xexclude from comparisonInfluxDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.data warehouse software for querying and managing large distributed datasets, built on HadoopDBMS for storing time series, events and metrics
Primary database modelRelational DBMSDocument storeRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Websitephoenix.apache.orgwww.harperdb.iohive.apache.orgwww.influxdata.com/­products/­influxdb-overview
Technical documentationphoenix.apache.orgdocs.harperdb.io/­docscwiki.apache.org/­confluence/­display/­Hive/­Homedocs.influxdata.com/­influxdb
DeveloperApache Software FoundationHarperDBApache Software Foundation infoinitially developed by Facebook
Initial release2014201720122013
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.1, August 20213.1.3, April 20222.7.6, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree community edition availableOpen Source infoApache Version 2Open Source infoMIT-License; commercial enterprise version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaNode.jsJavaGo
Server operating systemsLinux
Unix
Windows
Linux
OS X
All OS with a Java VMLinux
OS X infothrough Homebrew
Data schemeyes infolate-bound, schema-on-read capabilitiesdynamic schemayesschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesNumeric data and Strings
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.nonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesSQL-like data manipulation statementsSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsJDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
Thrift
HTTP API
JSON over UDP
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C++
Java
PHP
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresuser defined functionsCustom Functions infosince release 3.1yes infouser defined functions and integration of map-reduceno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterShardingSharding infoin enterprise version only
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infothe nodes on which a table resides can be definedselectable replication factorselectable replication factor infoin enterprise version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes 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 and rolesAccess rights for users, groups and rolessimple rights management via user accounts
More information provided by the system vendor
Apache PhoenixHarperDBHiveInfluxDB
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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