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DBMS > Apache Kylin vs. etcd vs. Postgres-XL vs. TimescaleDB

System Properties Comparison Apache Kylin vs. etcd vs. Postgres-XL vs. TimescaleDB

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonetcd  Xexclude from comparisonPostgres-XL  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackA distributed reliable key-value storeBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSKey-value storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitekylin.apache.orgetcd.io
github.com/­etcd-io/­etcd
www.postgres-xl.orgwww.timescale.com
Technical documentationkylin.apache.org/­docsetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.postgres-xl.org/­documentationdocs.timescale.com
DeveloperApache Software Foundation, originally contributed from eBay IncTimescale
Initial release20152014 infosince 2012, originally named StormDB2017
Current release3.1.0, July 20203.4, August 201910 R1, October 20182.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoMozilla public licenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoCC
Server operating systemsLinuxFreeBSD
Linux
Windows infoexperimental
Linux
macOS
Linux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonoyes infoXML type, but no XML query functionalityyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)noyes infodistributed, parallel query executionyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
JSON over HTTP
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnouser defined functionsuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes, watching key changesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache KylinetcdPostgres-XLTimescaleDB
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