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DBMS > Apache Druid vs. PlanetScale vs. Postgres-XL vs. SwayDB vs. Valentina Server

System Properties Comparison Apache Druid vs. PlanetScale vs. Postgres-XL vs. SwayDB vs. Valentina Server

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonPlanetScale  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSwayDB  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataScalable, distributed, serverless MySQL database platform built on top of VitessBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageObject-relational database and reports server
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSKey-value storeRelational 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
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitedruid.apache.orgplanetscale.comwww.postgres-xl.orgswaydb.simer.auwww.valentina-db.net
Technical documentationdruid.apache.org/­docs/­latest/­designplanetscale.com/­docswww.postgres-xl.org/­documentationvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software Foundation and contributorsPlanetScaleSimer PlahaParadigma Software
Initial release201220202014 infosince 2012, originally named StormDB20181999
Current release29.0.1, April 202410 R1, October 20185.7.5
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoMozilla public licenseOpen Source infoGNU Affero GPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoCScala
Server operating systemsLinux
OS X
Unix
Docker
Linux
macOS
Linux
macOS
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 infoXML type, but no XML query functionalityno
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSQL for queryingyes infowith proprietary extensionsyes infodistributed, parallel query executionnoyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
MySQL protocol
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Kotlin
Scala
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxuser defined functionsnoyes
Triggersnoyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engineyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at shard levelACID infoMVCCAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyes
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.noyesnoyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
Apache DruidPlanetScalePostgres-XLSwayDBValentina Server
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