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DBMS > Drizzle vs. PouchDB vs. SiteWhere vs. TimescaleDB vs. Valentina Server

System Properties Comparison Drizzle vs. PouchDB vs. SiteWhere vs. TimescaleDB vs. Valentina Server

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonPouchDB  Xexclude from comparisonSiteWhere  Xexclude from comparisonTimescaleDB  Xexclude from comparisonValentina Server  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.JavaScript DBMS with an API inspired by CouchDBM2M integration platform for persisting/querying time series dataA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLObject-relational database and reports server
Primary database modelRelational DBMSDocument storeTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.35
Rank#116  Overall
#22  Document stores
Score0.06
Rank#367  Overall
#36  Time Series DBMS
Score4.87
Rank#74  Overall
#4  Time Series DBMS
Score0.18
Rank#329  Overall
#144  Relational DBMS
Websitepouchdb.comgithub.com/­sitewhere/­sitewherewww.timescale.comwww.valentina-db.net
Technical documentationpouchdb.com/­guidessitewhere1.sitewhere.io/­index.htmldocs.timescale.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperDrizzle project, originally started by Brian AkerApache Software FoundationSiteWhereTimescaleParadigma Software
Initial release20082012201020171999
Current release7.2.4, September 20127.1.1, June 20192.13.0, November 20235.7.5
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen SourceOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaScriptJavaC
Server operating systemsFreeBSD
Linux
OS X
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesschema-freepredefined schemeyesyes
Typing infopredefined data types such as float or dateyesnoyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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 viewsnoyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsnonoyes infofull PostgreSQL SQL syntaxyes
APIs and other access methodsJDBCHTTP REST infoonly for PouchDB Server
JavaScript API
HTTP RESTADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ODBC
Supported programming languagesC
C++
Java
PHP
JavaScript.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoView functions in JavaScriptuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellyes
Triggersno infohooks for callbacks inside the server can be used.yesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding infobased on HBaseyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
selectable replication factor infobased on HBaseSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnoUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
DrizzlePouchDBSiteWhereTimescaleDBValentina Server
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