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DBMS > Apache Kylin vs. Databend vs. Kingbase vs. RavenDB

System Properties Comparison Apache Kylin vs. Databend vs. Kingbase vs. RavenDB

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonDatabend  Xexclude from comparisonKingbase  Xexclude from comparisonRavenDB  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 complexityAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Open Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series 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
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Websitekylin.apache.orggithub.com/­datafuselabs/­databend
www.databend.com
www.kingbase.com.cnravendb.net
Technical documentationkylin.apache.org/­docsdocs.databend.comravendb.net/­docs
DeveloperApache Software Foundation, originally contributed from eBay IncDatabend LabsBeiJing KINGBASE Information technologies inc.Hibernating Rhinos
Initial release2015202119992010
Current release3.1.0, July 20201.0.59, April 2023V8.0, August 20215.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaRustC and JavaC#
Server operating systemsLinuxhosted
Linux
macOS
Linux
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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
Secondary indexesyesnoyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yesStandard with numerous extensionsSQL-like query language (RQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
CLI Client
JDBC
RESTful HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash) and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID, Cluster-wide transaction available
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.no
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesfine grained access rights according to SQL-standardAuthorization levels configured per client per database

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More resources
Apache KylinDatabendKingbaseRavenDB
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