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DBMS > Drizzle vs. KairosDB vs. PouchDB vs. Sqrrl vs. Valentina Server

System Properties Comparison Drizzle vs. KairosDB vs. PouchDB vs. Sqrrl vs. Valentina Server

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonKairosDB  Xexclude from comparisonPouchDB  Xexclude from comparisonSqrrl  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.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Distributed Time Series DBMS based on Cassandra or H2JavaScript DBMS with an API inspired by CouchDBAdaptable, secure NoSQL built on Apache AccumuloObject-relational database and reports server
Primary database modelRelational DBMSTime Series DBMSDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitegithub.com/­kairosdb/­kairosdbpouchdb.comsqrrl.comwww.valentina-db.net
Technical documentationkairosdb.github.iopouchdb.com/­guidesvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperDrizzle project, originally started by Brian AkerApache Software FoundationAmazon infooriginally Sqrrl Data, Inc.Paradigma Software
Initial release20082013201220121999
Current release7.2.4, September 20121.2.2, November 20187.1.1, June 20195.7.5
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaScriptJava
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)LinuxLinux
OS X
Windows
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nono
Secondary indexesyesnoyes infovia viewsyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsnononoyes
APIs and other access methodsJDBCGraphite protocol
HTTP REST
Telnet API
HTTP REST infoonly for PouchDB Server
JavaScript API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
ODBC
Supported programming languagesC
C++
Java
PHP
Java
JavaScript infoNode.js
PHP
Python
JavaScriptActionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonoView functions in JavaScriptnoyes
Triggersno infohooks for callbacks inside the server can be used.noyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding infowith a proxy-based framework, named couchdb-loungeSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on CassandraMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
selectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPsimple password-based access controlnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)fine grained access rights according to SQL-standard

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More resources
DrizzleKairosDBPouchDBSqrrlValentina Server
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