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DBMS > Kyligence Enterprise vs. OrigoDB vs. PouchDB vs. Prometheus vs. Sphinx

System Properties Comparison Kyligence Enterprise vs. OrigoDB vs. PouchDB vs. Prometheus vs. Sphinx

Editorial information provided by DB-Engines
NameKyligence Enterprise  Xexclude from comparisonOrigoDB  Xexclude from comparisonPouchDB  Xexclude from comparisonPrometheus  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA distributed analytics engine for big data, built on top of Apache KylinA fully ACID in-memory object graph databaseJavaScript DBMS with an API inspired by CouchDBOpen-source Time Series DBMS and monitoring systemOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSDocument store
Object oriented DBMS
Document storeTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitekyligence.io/­kyligence-enterpriseorigodb.compouchdb.comprometheus.iosphinxsearch.com
Technical documentationorigodb.com/­docspouchdb.com/­guidesprometheus.io/­docssphinxsearch.com/­docs
DeveloperKyligence, Inc.Robert Friberg et alApache Software FoundationSphinx Technologies Inc.
Initial release20162009 infounder the name LiveDB201220152001
Current release7.1.1, June 20193.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen SourceOpen SourceOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence available
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 languageJavaC#JavaScriptGoC++
Server operating systemsLinuxLinux
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsnoNumeric data onlyno
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 infocan be achieved using .NETnono infoImport of XML data possible
Secondary indexesyesyesyes infovia viewsnoyes infofull-text index on all search fields
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)nononoSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
HTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP/JSON APIProprietary protocol
Supported programming languages.NetJavaScript.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesView functions in JavaScriptnono
Triggersyes infoDomain Eventsyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedSharding infowith a proxy-based framework, named couchdb-loungeShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integritydepending on modelnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlRole based authorizationnonono

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More resources
Kyligence EnterpriseOrigoDBPouchDBPrometheusSphinx
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