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DBMS > Apache Druid vs. Greenplum vs. Kingbase vs. LeanXcale

System Properties Comparison Apache Druid vs. Greenplum vs. Kingbase vs. LeanXcale

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGreenplum  Xexclude from comparisonKingbase  Xexclude from comparisonLeanXcale  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.An enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSKey-value store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document 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
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Websitedruid.apache.orggreenplum.orgwww.kingbase.com.cnwww.leanxcale.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.greenplum.org
DeveloperApache Software Foundation and contributorsPivotal Software Inc.BeiJing KINGBASE Information technologies inc.LeanXcale
Initial release2012200519992015
Current release29.0.1, April 20247.0.0, September 2023V8.0, August 2021
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and Java
Server operating systemsLinux
OS X
Unix
LinuxLinux
Windows
Data schemeyes infoschema-less columns are supportedyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyes infosince Version 4.2yes
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL for queryingyesStandard with numerous extensionsyes infothrough Apache Derby
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
Java
Perl
Python
R
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
Java
Scala
Server-side scripts infoStored proceduresnoyesuser defined functions
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardinghorizontal partitioning (by range, list and hash) and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
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.nonoyes
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-standardfine grained access rights according to SQL-standard

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More resources
Apache DruidGreenplumKingbaseLeanXcale
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