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DBMS > HarperDB vs. HBase vs. PouchDB vs. Sequoiadb

System Properties Comparison HarperDB vs. HBase vs. PouchDB vs. Sequoiadb

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Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonHBase  Xexclude from comparisonPouchDB  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionUltra-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.Wide-column store based on Apache Hadoop and on concepts of BigTableJavaScript DBMS with an API inspired by CouchDBNewSQL database with distributed OLTP and SQL
Primary database modelDocument storeWide column storeDocument storeDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#248  Overall
#38  Document stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score2.28
Rank#115  Overall
#21  Document stores
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websitewww.harperdb.iohbase.apache.orgpouchdb.comwww.sequoiadb.com
Technical documentationdocs.harperdb.io/­docshbase.apache.org/­book.htmlpouchdb.com/­guideswww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperHarperDBApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software FoundationSequoiadb Ltd.
Initial release2017200820122013
Current release3.1, August 20212.3.4, January 20217.1.1, June 2019
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache version 2Open SourceOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsJavaJavaScriptC++
Server operating systemsLinux
OS X
Linux
Unix
Windows infousing Cygwin
server-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemedynamic schemaschema-free, schema definition possibleschema-freeschema-free
Typing infopredefined data types such as float or dateyes infoJSON data typesoptions to bring your own types, AVROnoyes infooid, date, timestamp, binary, regex
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 indexesyesnoyes infovia viewsyes
SQL infoSupport of SQLSQL-like data manipulation statementsnonoSQL-like query language
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Java API
RESTful HTTP API
Thrift
HTTP REST infoonly for PouchDB Server
JavaScript API
proprietary protocol using JSON
Supported programming languages.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
C#
C++
Groovy
Java
PHP
Python
Scala
JavaScript.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1yes infoCoprocessors in JavaView functions in JavaScriptJavaScript
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedMulti-source replication
Source-replica replication
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsSingle row ACID (across millions of columns)noDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, using LMDByesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnosimple password-based access control

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HarperDBHBasePouchDBSequoiadb
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