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DBMS > HBase vs. Newts vs. PouchDB vs. SQL.JS vs. STSdb

System Properties Comparison HBase vs. Newts vs. PouchDB vs. SQL.JS vs. STSdb

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonNewts  Xexclude from comparisonPouchDB  Xexclude from comparisonSQL.JS  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableTime Series DBMS based on CassandraJavaScript DBMS with an API inspired by CouchDBPort of SQLite to JavaScriptKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelWide column storeTime Series DBMSDocument storeRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score0.53
Rank#252  Overall
#116  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitehbase.apache.orgopennms.github.io/­newtspouchdb.comsql.js.orggithub.com/­STSSoft/­STSdb4
Technical documentationhbase.apache.org/­book.htmlgithub.com/­OpenNMS/­newts/­wikipouchdb.com/­guidessql.js.org/­documentation/­index.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetOpenNMS GroupApache Software FoundationAlon Zakai infoenhancements implemented by othersSTS Soft SC
Initial release20082014201220122011
Current release2.3.4, January 20217.1.1, June 20194.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache 2.0Open SourceOpen SourceOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaScriptJavaScriptC#
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)server-less, requires a JavaScript environment (browser, Node.js)Windows
Data schemeschema-free, schema definition possibleschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesnoyesyes infoprimitive types and user defined types (classes)
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 indexesnonoyes infovia viewsno
SQL infoSupport of SQLnononoyes infoSQL-92 is not fully supportedno
APIs and other access methodsJava API
RESTful HTTP API
Thrift
HTTP REST
Java API
HTTP REST infoonly for PouchDB Server
JavaScript API
JavaScript API.NET Client API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
JavaJavaScriptJavaScriptC#
Java
Server-side scripts infoStored proceduresyes infoCoprocessors in JavanoView functions in JavaScriptnono
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding infowith a proxy-based framework, named couchdb-loungenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on CassandraMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistencynone
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)nonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendno infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnononono

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HBaseNewtsPouchDBSQL.JSSTSdb
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