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DBMS > Apache Druid vs. Greenplum vs. OpenMLDB vs. PlanetScale

System Properties Comparison Apache Druid vs. Greenplum vs. OpenMLDB vs. PlanetScale

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGreenplum  Xexclude from comparisonOpenMLDB  Xexclude from comparisonPlanetScale  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 open-source machine learning database that provides a feature platform for training and inferenceScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Websitedruid.apache.orggreenplum.orgopenmldb.aiplanetscale.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.greenplum.orgopenmldb.ai/­docs/­zh/­mainplanetscale.com/­docs
DeveloperApache Software Foundation and contributorsPivotal Software Inc.4 Paradigm Inc.PlanetScale
Initial release2012200520202020
Current release29.0.1, April 20247.0.0, September 20232024-2 February 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java, ScalaGo
Server operating systemsLinux
OS X
Unix
LinuxLinuxDocker
Linux
macOS
Data schemeyes infoschema-less columns are supportedyesFixed schemayes
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.noyes infosince Version 4.2no
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingyesyesyes infowith proprietary extensions
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
JDBC
SQLAlchemy
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
Java
Perl
Python
R
C++
Go
Java
Python
Scala
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 proceduresnoyesnoyes infoproprietary syntax
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.nonoyesyes
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-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
Apache DruidGreenplumOpenMLDBPlanetScale
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