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DBMS > Apache Impala vs. Apache Phoenix vs. BoltDB vs. CouchDB vs. HarperDB

System Properties Comparison Apache Impala vs. Apache Phoenix vs. BoltDB vs. CouchDB vs. HarperDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonApache Phoenix  Xexclude from comparisonBoltDB  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonHarperDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA scale-out RDBMS with evolutionary schema built on Apache HBaseAn embedded key-value store for Go.A native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Ultra-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.
Primary database modelRelational DBMSRelational DBMSKey-value storeDocument storeDocument store
Secondary database modelsDocument storeSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.80
Rank#215  Overall
#31  Key-value stores
Score8.30
Rank#47  Overall
#7  Document stores
Score0.60
Rank#244  Overall
#38  Document stores
Websiteimpala.apache.orgphoenix.apache.orggithub.com/­boltdb/­boltcouchdb.apache.orgwww.harperdb.io
Technical documentationimpala.apache.org/­impala-docs.htmlphoenix.apache.orgdocs.couchdb.org/­en/­stabledocs.harperdb.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerHarperDB
Initial release20132014201320052017
Current release4.1.0, June 20225.0-HBase2, July 2018 and 4.15-HBase1, December 20193.3.3, December 20233.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoApache version 2commercial infofree community edition available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaGoErlangNode.js
Server operating systemsLinuxLinux
Unix
Windows
BSD
Linux
OS X
Solaris
Windows
Android
BSD
Linux
OS X
Solaris
Windows
Linux
OS X
Data schemeyesyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freedynamic schema
Typing infopredefined data types such as float or dateyesyesnonoyes infoJSON data types
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.nonononono
Secondary indexesyesyesnoyes infovia viewsyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnonoSQL-like data manipulation statements
APIs and other access methodsJDBC
ODBC
JDBCRESTful HTTP/JSON APIJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
GoC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.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
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsnoView functions in JavaScriptCustom Functions infosince release 3.1
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoimproved architecture with release 2.0A table resides as a whole on one (or more) nodes in a cluster
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
noneMulti-source replication
Source-replica replication
yes infothe nodes on which a table resides can be defined
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceHadoop integrationnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual ConsistencynoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesno infoatomic operations within a single document possibleAtomic execution of specific operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infostrategy: optimistic lockingyes
Durability infoSupport for making data persistentyesyesyesyesyes, using LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnonoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoAccess rights for users can be defined per databaseAccess rights for users and roles

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More resources
Apache ImpalaApache PhoenixBoltDBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"HarperDB
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