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

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

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonFirebolt  Xexclude from comparisonHarperDB  Xexclude from comparisonHive  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseUltra-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 Hadoop
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Websitephoenix.apache.orgwww.firebolt.iowww.harperdb.iohive.apache.org
Technical documentationphoenix.apache.orgdocs.firebolt.iodocs.harperdb.io/­docscwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperApache Software FoundationFirebolt Analytics Inc.HarperDBApache Software Foundation infoinitially developed by Facebook
Initial release2014202020172012
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.1, August 20213.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree community edition availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaNode.jsJava
Server operating systemsLinux
Unix
Windows
hostedLinux
OS X
All OS with a Java VM
Data schemeyes infolate-bound, schema-on-read capabilitiesyesdynamic schemayes
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyes
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.nono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyesSQL-like data manipulation statementsSQL-like DML and DDL statements
APIs and other access methodsJDBC.Net
ODBC
RESTful HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
Thrift
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Go
JavaScript (Node.js)
Python
.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
Server-side scripts infoStored proceduresuser defined functionsnoCustom Functions infosince release 3.1yes infouser defined functions and integration of map-reduce
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
depending on storage layeryes infothe nodes on which a table resides can be definedselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
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 roles

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More resources
Apache PhoenixFireboltHarperDBHive
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