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DBMS > Databend vs. Drizzle vs. Ingres vs. Percona Server for MongoDB

System Properties Comparison Databend vs. Drizzle vs. Ingres vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonDrizzle  Xexclude from comparisonIngres  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Well established RDBMSA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.actian.com/­databases/­ingreswww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdocs.databend.comdocs.actian.com/­ingresdocs.percona.com/­percona-distribution-for-mongodb
DeveloperDatabend LabsDrizzle project, originally started by Brian AkerActian CorporationPercona
Initial release202120081974 infooriginally developed at University Berkely in early 1970s2015
Current release1.0.59, April 20237.2.4, September 201211.2, May 20223.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU GPLcommercialOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC++CC++
Server operating systemshosted
Linux
macOS
FreeBSD
Linux
OS X
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Data schemeyesyesyesschema-free
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.nono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsyesno
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JDBC.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
proprietary protocol using JSON
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C
C++
Java
PHP
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
Server-side scripts infoStored proceduresnonoyesJavaScript
Triggersnono infohooks for callbacks inside the server can be used.yesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Ingres ReplicatorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
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 Engine
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
DatabendDrizzleIngresPercona Server for MongoDB
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