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DBMS > H2 vs. PouchDB vs. Solr vs. STSdb

System Properties Comparison H2 vs. PouchDB vs. Solr vs. STSdb

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Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonPouchDB  Xexclude from comparisonSolr  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.JavaScript DBMS with an API inspired by CouchDBA widely used distributed, scalable search engine based on Apache LuceneKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSDocument storeSearch engineKey-value store
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score42.91
Rank#24  Overall
#3  Search engines
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitewww.h2database.compouchdb.comsolr.apache.orggithub.com/­STSSoft/­STSdb4
Technical documentationwww.h2database.com/­html/­main.htmlpouchdb.com/­guidessolr.apache.org/­resources.html
DeveloperThomas MuellerApache Software FoundationApache Software FoundationSTS Soft SC
Initial release2005201220062011
Current release2.2.220, July 20237.1.1, June 20199.5.0, February 20244.0.8, September 2015
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open SourceOpen Source infoApache Version 2Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptJavaC#
Server operating systemsAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Windows
Data schemeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesnoyes infosupports customizable data types and automatic typingyes 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.nonoyes
Secondary indexesyesyes infovia viewsyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLyesnoSolr Parallel SQL Interfaceno
APIs and other access methodsJDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
Java API
RESTful HTTP/JSON API
.NET Client API
Supported programming languagesJavaJavaScript.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C#
Java
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined FunctionsView functions in JavaScriptJava pluginsno
Triggersyesyesyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infowith a proxy-based framework, named couchdb-loungeShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes 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.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyesno

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More resources
H2PouchDBSolrSTSdb
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