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DBMS > Apache Druid vs. Dolt vs. Percona Server for MongoDB vs. RisingWave

System Properties Comparison Apache Druid vs. Dolt vs. Percona Server for MongoDB vs. RisingWave

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDolt  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonRisingWave  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA MySQL compatible DBMS with Git-like versioning of data and schemaA drop-in replacement for MongoDB Community Edition with enterprise-grade features.A distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
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
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Score0.64
Rank#238  Overall
#110  Relational DBMS
Websitedruid.apache.orggithub.com/­dolthub/­dolt
www.dolthub.com
www.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.risingwave.com/­database
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.dolthub.comdocs.percona.com/­percona-distribution-for-mongodbdocs.risingwave.com/­docs/­current/­intro
DeveloperApache Software Foundation and contributorsDoltHub IncPerconaRisingWave Labs
Initial release2012201820152022
Current release29.0.1, April 20243.4.10-2.10, November 20171.2, September 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0Open Source infoGPL Version 2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++Rust
Server operating systemsLinux
OS X
Unix
Linux
macOS
Windows
LinuxDocker
Linux
macOS
Data schemeyes infoschema-less columns are supportedyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesStandard SQL-types and JSON
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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingyesnoyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
CLI Client
HTTP REST
proprietary protocol using JSONJDBC
PostgreSQL wire protocol
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
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infocurrently in alpha releaseJavaScriptUDFs in Python or Java
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyes infovia In-Memory Engineyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemOnly one user is configurable, and must be specified in the config file at startupAccess rights for users and rolesUsers and Roles

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More resources
Apache DruidDoltPercona Server for MongoDBRisingWave
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