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DBMS > Apache Kylin vs. Databend vs. TerarkDB vs. Valentina Server

System Properties Comparison Apache Kylin vs. Databend vs. TerarkDB vs. Valentina Server

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonDatabend  Xexclude from comparisonTerarkDB  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBObject-relational database and reports server
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitekylin.apache.orggithub.com/­datafuselabs/­databend
www.databend.com
github.com/­bytedance/­terarkdbwww.valentina-db.net
Technical documentationkylin.apache.org/­docsdocs.databend.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software Foundation, originally contributed from eBay IncDatabend LabsByteDance, originally TerarkParadigma Software
Initial release2015202120161999
Current release3.1.0, July 20201.0.59, April 20235.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial inforestricted open source version availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaRustC++
Server operating systemsLinuxhosted
Linux
macOS
Linux
OS X
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyesnonoyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yesnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
CLI Client
JDBC
RESTful HTTP API
C++ API
Java API
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C++
Java
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesnofine grained access rights according to SQL-standard

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More resources
Apache KylinDatabendTerarkDBValentina Server
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