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DBMS > Amazon DocumentDB vs. Percona Server for MongoDB vs. Solr vs. Splunk

System Properties Comparison Amazon DocumentDB vs. Percona Server for MongoDB vs. Solr vs. Splunk

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSolr  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA drop-in replacement for MongoDB Community Edition with enterprise-grade features.A widely used distributed, scalable search engine based on Apache LuceneAnalytics Platform for Big Data
Primary database modelDocument storeDocument storeSearch engineSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.52
Rank#254  Overall
#39  Document stores
Score42.91
Rank#24  Overall
#3  Search engines
Score86.45
Rank#14  Overall
#2  Search engines
Websiteaws.amazon.com/­documentdbwww.percona.com/­mongodb/­software/­percona-server-for-mongodbsolr.apache.orgwww.splunk.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.percona.com/­percona-distribution-for-mongodbsolr.apache.org/­resources.htmldocs.splunk.com/­Documentation/­Splunk
DeveloperPerconaApache Software FoundationSplunk Inc.
Initial release2019201520062003
Current release3.4.10-2.10, November 20179.6.0, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL Version 2Open Source infoApache Version 2commercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemshostedLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typingyes
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.nonoyesyes
Secondary indexesyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnonoSolr Parallel SQL Interfaceno infoSplunk Search Processing Language for search commands
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)proprietary protocol using JSONJava API
RESTful HTTP/JSON API
HTTP REST
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
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
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoJavaScriptJava pluginsyes
Triggersnonoyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replicationyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnooptimistic lockingno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
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.yes infovia In-Memory Engineyesno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and rolesyesAccess rights for users and roles

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More resources
Amazon DocumentDBPercona Server for MongoDBSolrSplunk
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