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DBMS > Hive vs. Ignite vs. PouchDB vs. SiteWhere vs. Tkrzw

System Properties Comparison Hive vs. Ignite vs. PouchDB vs. SiteWhere vs. Tkrzw

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonIgnite  Xexclude from comparisonPouchDB  Xexclude from comparisonSiteWhere  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.JavaScript DBMS with an API inspired by CouchDBM2M integration platform for persisting/querying time series dataA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSKey-value store
Relational DBMS
Document storeTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitehive.apache.orgignite.apache.orgpouchdb.comgithub.com/­sitewhere/­sitewheredbmx.net/­tkrzw
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeapacheignite.readme.io/­docspouchdb.com/­guidessitewhere1.sitewhere.io/­index.html
DeveloperApache Software Foundation infoinitially developed by FacebookApache Software FoundationApache Software FoundationSiteWhereMikio Hirabayashi
Initial release20122015201220102020
Current release3.1.3, April 2022Apache Ignite 2.67.1.1, June 20190.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open SourceOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java, .NetJavaScriptJavaC++
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Linux
macOS
Data schemeyesyesschema-freepredefined schemeschema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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.yesnonono
Secondary indexesyesyesyes infovia viewsno
SQL infoSupport of SQLSQL-like DML and DDL statementsANSI-99 for query and DML statements, subset of DDLnonono
APIs and other access methodsJDBC
ODBC
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP REST
Supported programming languagesC++
Java
PHP
Python
C#
C++
Java
PHP
Python
Ruby
Scala
JavaScriptC++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes (compute grid and cache interceptors can be used instead)View functions in JavaScriptno
Triggersnoyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes (replicated cache)Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
selectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes (compute grid and hadoop accelerator)yesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes infousing specific database classes
User concepts infoAccess controlAccess rights for users, groups and rolesSecurity Hooks for custom implementationsnoUsers with fine-grained authorization conceptno

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HiveIgnitePouchDBSiteWhereTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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