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DBMS > EventStoreDB vs. Hypertable vs. KairosDB vs. Microsoft Azure AI Search vs. PouchDB

System Properties Comparison EventStoreDB vs. Hypertable vs. KairosDB vs. Microsoft Azure AI Search vs. PouchDB

Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonHypertable  Xexclude from comparisonKairosDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPouchDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.An open source BigTable implementation based on distributed file systems such as HadoopDistributed Time Series DBMS based on Cassandra or H2Search-as-a-service for web and mobile app developmentJavaScript DBMS with an API inspired by CouchDB
Primary database modelEvent StoreWide column storeTime Series DBMSSearch engineDocument store
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.10
Rank#179  Overall
#1  Event Stores
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score2.28
Rank#115  Overall
#21  Document stores
Websitewww.eventstore.comgithub.com/­kairosdb/­kairosdbazure.microsoft.com/­en-us/­services/­searchpouchdb.com
Technical documentationdevelopers.eventstore.comkairosdb.github.iolearn.microsoft.com/­en-us/­azure/­searchpouchdb.com/­guides
DeveloperEvent Store LimitedHypertable Inc.MicrosoftApache Software Foundation
Initial release20122009201320152012
Current release21.2, February 20210.9.8.11, March 20161.2.2, November 2018V17.1.1, June 2019
License infoCommercial or Open SourceOpen SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJavaScript
Server operating systemsLinux
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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.nonono
Secondary indexesrestricted infoonly exact value or prefix value scansnoyesyes infovia views
SQL infoSupport of SQLnononono
APIs and other access methodsC++ API
Thrift
Graphite protocol
HTTP REST
Telnet API
RESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
Java
JavaScript infoNode.js
PHP
Python
C#
Java
JavaScript
Python
JavaScript
Server-side scripts infoStored proceduresnononoView functions in JavaScript
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding infoImplicit feature of the cloud serviceSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelselectable replication factor infobased on Cassandrayes infoImplicit feature of the cloud serviceMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnosimple password-based access controlyes infousing Azure authenticationno

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More resources
EventStoreDBHypertableKairosDBMicrosoft Azure AI SearchPouchDB
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