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DBMS > Apache Druid vs. Kingbase vs. RDF4J vs. Snowflake

System Properties Comparison Apache Druid vs. Kingbase vs. RDF4J vs. Snowflake

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonKingbase  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Cloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRDF storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websitedruid.apache.orgwww.kingbase.com.cnrdf4j.orgwww.snowflake.com
Technical documentationdruid.apache.org/­docs/­latest/­designrdf4j.org/­documentationdocs.snowflake.net/­manuals/­index.html
DeveloperApache Software Foundation and contributorsBeiJing KINGBASE Information technologies inc.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.Snowflake Computing Inc.
Initial release2012199920042014
Current release29.0.1, April 2024V8.0, August 2021
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and JavaJava
Server operating systemsLinux
OS X
Unix
Linux
Windows
Linux
OS X
Unix
Windows
hosted
Data schemeyes infoschema-less columns are supportedyesyes infoRDF Schemasyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL for queryingStandard with numerous extensionsnoyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
CLI Client
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Java
PHP
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsyesuser defined functions
Triggersnoyesyesno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioning (by range, list and hash) and vertical partitioningnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardnoUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Apache DruidKingbaseRDF4J infoformerly known as SesameSnowflake
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