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DBMS > HBase vs. Hive vs. LokiJS vs. PouchDB vs. Teradata Aster

System Properties Comparison HBase vs. Hive vs. LokiJS vs. PouchDB vs. Teradata Aster

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonHive  Xexclude from comparisonLokiJS  Xexclude from comparisonPouchDB  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTabledata warehouse software for querying and managing large distributed datasets, built on HadoopIn-memory JavaScript DBMSJavaScript DBMS with an API inspired by CouchDBPlatform for big data analytics on multistructured data sources and types
Primary database modelWide column storeRelational DBMSDocument storeDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.43
Rank#264  Overall
#42  Document stores
Score2.28
Rank#115  Overall
#21  Document stores
Websitehbase.apache.orghive.apache.orggithub.com/­techfort/­LokiJSpouchdb.com
Technical documentationhbase.apache.org/­book.htmlcwiki.apache.org/­confluence/­display/­Hive/­Hometechfort.github.io/­LokiJSpouchdb.com/­guides
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software Foundation infoinitially developed by FacebookApache Software FoundationTeradata
Initial release20082012201420122005
Current release2.3.4, January 20213.1.3, April 20227.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2Open SourceOpen Sourcecommercial
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 languageJavaJavaJavaScriptJavaScript
Server operating systemsLinux
Unix
Windows infousing Cygwin
All OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)server-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeschema-free, schema definition possibleyesschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesnonoyes
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.nononoyes infoin Aster File Store
Secondary indexesnoyesyes infovia viewsyes infovia viewsyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnonoyes
APIs and other access methodsJava API
RESTful HTTP API
Thrift
JDBC
ODBC
Thrift
JavaScript APIHTTP REST infoonly for PouchDB Server
JavaScript API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
PHP
Python
JavaScriptJavaScriptC
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayes infouser defined functions and integration of map-reduceView functions in JavaScriptView functions in JavaScriptR packages
Triggersyesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factornoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReduceyesyesyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencynoneEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)nono infoatomic operations within a single collection possiblenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes 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 Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and rolesnonofine grained access rights according to SQL-standard

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More resources
HBaseHiveLokiJSPouchDBTeradata Aster
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