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DBMS > Apache Druid vs. Kingbase vs. TerminusDB vs. Vitess

System Properties Comparison Apache Druid vs. Kingbase vs. TerminusDB vs. Vitess

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonKingbase  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonVitess  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.Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
RDF store
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score0.44
Rank#258  Overall
#117  Relational DBMS
Score0.19
Rank#311  Overall
#27  Graph DBMS
Score0.86
Rank#202  Overall
#95  Relational DBMS
Websitedruid.apache.orgwww.kingbase.com.cnterminusdb.comvitess.io
Technical documentationdruid.apache.org/­docs/­latest/­designterminusdb.github.io/­terminusdb/­#vitess.io/­docs
DeveloperApache Software Foundation and contributorsBeiJing KINGBASE Information technologies inc.DataChemist Ltd.The Linux Foundation, PlanetScale
Initial release2012199920182013
Current release30.0.0, June 2024V8.0, August 202111.0.0, January 202315.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoGPL V3Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and JavaProlog, RustGo
Server operating systemsLinux
OS X
Unix
Linux
Windows
LinuxDocker
Linux
macOS
Data schemeyes infoschema-less columns are supportedyesyesyes
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.noyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL for queryingStandard with numerous extensionsSQL-like query language (WOQL)yes infowith proprietary extensions
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
JavaScript
Python
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 proceduresnouser defined functionsyesyes infoproprietary syntax
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioning (by range, list and hash) and vertical partitioningGraph PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesJournaling StreamsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
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-standardRole-based access controlUsers with fine-grained authorization concept infono user groups or roles

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More resources
Apache DruidKingbaseTerminusDB infoformer name was DataChemistVitess
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