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DBMS > Drizzle vs. Newts vs. PouchDB vs. Prometheus vs. Warp 10

System Properties Comparison Drizzle vs. Newts vs. PouchDB vs. Prometheus vs. Warp 10

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonNewts  Xexclude from comparisonPouchDB  Xexclude from comparisonPrometheus  Xexclude from comparisonWarp 10  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.Time Series DBMS based on CassandraJavaScript DBMS with an API inspired by CouchDBOpen-source Time Series DBMS and monitoring systemTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSTime Series DBMSDocument storeTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websiteopennms.github.io/­newtspouchdb.comprometheus.iowww.warp10.io
Technical documentationgithub.com/­OpenNMS/­newts/­wikipouchdb.com/­guidesprometheus.io/­docswww.warp10.io/­content/­02_Getting_started
DeveloperDrizzle project, originally started by Brian AkerOpenNMS GroupApache Software FoundationSenX
Initial release20082014201220152015
Current release7.2.4, September 20127.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0Open SourceOpen Source infoApache 2.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJavaScriptGoJava
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
Windows
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoNumeric data onlyyes
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 infoImport of XML data possibleno
Secondary indexesyesnoyes infovia viewsnono
SQL infoSupport of SQLyes infowith proprietary extensionsnononono
APIs and other access methodsJDBCHTTP REST
Java API
HTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP/JSON APIHTTP API
Jupyter
WebSocket
Supported programming languagesC
C++
Java
PHP
JavaJavaScript.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnonoView functions in JavaScriptnoyes infoWarpScript
Triggersno infohooks for callbacks inside the server can be used.noyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding infowith a proxy-based framework, named couchdb-loungeShardingSharding infobased on HBase
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
yes infoby Federationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencynoneImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononono
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.noyesnoyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnononoMandatory use of cryptographic tokens, containing fine-grained authorizations

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DrizzleNewtsPouchDBPrometheusWarp 10
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