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DBMS > Apache Kylin vs. Kingbase vs. RavenDB vs. TerarkDB vs. Vitess

System Properties Comparison Apache Kylin vs. Kingbase vs. RavenDB vs. TerarkDB vs. Vitess

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonKingbase  Xexclude from comparisonRavenDB  Xexclude from comparisonTerarkDB  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Open Source Operational and Transactional Enterprise NoSQL Document DatabaseA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSRelational DBMSDocument storeKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitekylin.apache.orgwww.kingbase.com.cnravendb.netgithub.com/­bytedance/­terarkdbvitess.io
Technical documentationkylin.apache.org/­docsravendb.net/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcvitess.io/­docs
DeveloperApache Software Foundation, originally contributed from eBay IncBeiJing KINGBASE Information technologies inc.Hibernating RhinosByteDance, originally TerarkThe Linux Foundation, PlanetScale
Initial release20151999201020162013
Current release3.1.0, July 2020V8.0, August 20215.4, July 202215.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoAGPL version 3, commercial license availablecommercial inforestricted open source version availableOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and JavaC#C++Go
Server operating systemsLinuxLinux
Windows
Linux
macOS
Raspberry Pi
Windows
Docker
Linux
macOS
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnonoyes
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.noyesno
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)Standard with numerous extensionsSQL-like query language (RQL)noyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
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
C++ API
Java API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsyesnoyes infoproprietary syntax
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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.Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, Cluster-wide transaction availablenoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAuthorization levels configured per client per databasenoUsers with fine-grained authorization concept infono user groups or roles

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More resources
Apache KylinKingbaseRavenDBTerarkDBVitess
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