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DBMS > Kyligence Enterprise vs. Lovefield vs. Sequoiadb vs. SiteWhere

System Properties Comparison Kyligence Enterprise vs. Lovefield vs. Sequoiadb vs. SiteWhere

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Editorial information provided by DB-Engines
NameKyligence Enterprise  Xexclude from comparisonLovefield  Xexclude from comparisonSequoiadb  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionA distributed analytics engine for big data, built on top of Apache KylinEmbeddable relational database for web apps written in pure JavaScriptNewSQL database with distributed OLTP and SQLM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSRelational DBMSDocument store
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitekyligence.io/­kyligence-enterprisegoogle.github.io/­lovefieldwww.sequoiadb.comgithub.com/­sitewhere/­sitewhere
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.sequoiadb.com/­en/­index.php?m=Files&a=indexsitewhere1.sitewhere.io/­index.html
DeveloperKyligence, Inc.GoogleSequoiadb Ltd.SiteWhere
Initial release2016201420132010
Current release2.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoServer: AGPL; Client: Apache V2Open Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptC++Java
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinuxLinux
OS X
Windows
Data schemeyesyesschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyesyes infooid, date, timestamp, binary, regexyes
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.nononono
Secondary indexesyesyesyesno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL-like query language infovia JavaScript builder patternSQL-like query languageno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
proprietary protocol using JSONHTTP REST
Supported programming languagesJavaScript.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoJavaScript
TriggersUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDDocument is locked during a transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDBnono
User concepts infoAccess controlnosimple password-based access controlUsers with fine-grained authorization concept

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More resources
Kyligence EnterpriseLovefieldSequoiadbSiteWhere
Recent citations in the news

Kyligence Grows OLAP Business in the Cloud
20 February 2020, Datanami

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10 August 2021, VentureBeat

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How Kyligence Cloud uses Amazon EMR Serverless to simplify OLAP | Amazon Web Services
9 November 2022, AWS Blog

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