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DBMS > Apache Kylin vs. PouchDB vs. SingleStore

System Properties Comparison Apache Kylin vs. PouchDB vs. SingleStore

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonPouchDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackJavaScript DBMS with an API inspired by CouchDBMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#175  Overall
#80  Relational DBMS
Score2.35
Rank#116  Overall
#22  Document stores
Score5.91
Rank#61  Overall
#34  Relational DBMS
Websitekylin.apache.orgpouchdb.comwww.singlestore.com
Technical documentationkylin.apache.org/­docspouchdb.com/­guidesdocs.singlestore.com
DeveloperApache Software Foundation, originally contributed from eBay IncApache Software FoundationSingleStore Inc.
Initial release201520122013
Current release3.1.0, July 20207.1.1, June 20198.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Sourcecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJavaJavaScriptC++, Go
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js)Linux info64 bit version required
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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
Secondary indexesyesyes infovia viewsyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)noyes infobut no triggers and foreign keys
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesJavaScriptBash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresView functions in JavaScriptyes
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infowith a proxy-based framework, named couchdb-loungeSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoFine grained access control via users, groups and roles
More information provided by the system vendor
Apache KylinPouchDBSingleStore infoformer name was MemSQL
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache KylinPouchDBSingleStore infoformer name was MemSQL
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Recent citations in the news

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Overhauling Apache Kylin for the cloud
18 November 2021, InfoWorld

The Apache Software Foundation Announces Apache™ Kylin™ as a Top-Level Project
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