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DBMS > Kyligence Enterprise vs. Postgres-XL vs. ReductStore

System Properties Comparison Kyligence Enterprise vs. Postgres-XL vs. ReductStore

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Editorial information provided by DB-Engines
NameKyligence Enterprise  Xexclude from comparisonPostgres-XL  Xexclude from comparisonReductStore  Xexclude from comparison
DescriptionA distributed analytics engine for big data, built on top of Apache KylinBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.
Primary database modelRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.44
Rank#259  Overall
#118  Relational DBMS
Score0.43
Rank#260  Overall
#119  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Websitekyligence.io/­kyligence-enterprisewww.postgres-xl.orggithub.com/­reductstore
www.reduct.store
Technical documentationwww.postgres-xl.org/­documentationwww.reduct.store/­docs
DeveloperKyligence, Inc.ReductStore LLC
Initial release20162014 infosince 2012, originally named StormDB2023
Current release10 R1, October 20181.9, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoMozilla public licenseOpen Source infoBusiness Source License 1.1
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++, Rust
Server operating systemsLinuxLinux
macOS
Docker
Linux
macOS
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.noyes infoXML type, but no XML query functionality
Secondary indexesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yes infodistributed, parallel query execution
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Supported programming languages.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresuser defined functions
Triggersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standard

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More resources
Kyligence EnterprisePostgres-XLReductStore
Recent citations in the news

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

Kyligence adds ClickHouse OLAP engine to its analytics platform
10 August 2021, VentureBeat

Distributed OLAPer Kyligence accelerates core engine, adds real-time data support
10 August 2021, Blocks & Files

Introducing Kyligence Copilot: The AI Copilot for Data to Excel Your KPIs
23 August 2023, insideainews.com

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

provided by Google News



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