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DBMS > Amazon CloudSearch vs. MongoDB vs. Splunk vs. Vertica

System Properties Comparison Amazon CloudSearch vs. MongoDB vs. Splunk vs. Vertica

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonMongoDB  Xexclude from comparisonSplunk  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureAnalytics Platform for Big DataColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelSearch engineDocument storeSearch engineRelational DBMS
Secondary database modelsSearch engine infointegrated Lucene index, currently in MongoDB Atlas only.Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.21
Rank#85  Overall
#9  Search engines
Score421.12
Rank#5  Overall
#1  Document stores
Score90.53
Rank#12  Overall
#2  Search engines
Score22.17
Rank#30  Overall
#18  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.mongodb.comwww.splunk.comwww.vertica.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.mongodb.com/­manualdocs.splunk.com/­Documentation/­Splunkwww.vertica.com/­documentation/­vertica
DeveloperAmazonMongoDB, IncSplunk Inc.Vertica / Micro Focus infoprior to that Hewlett Packard
Initial release2012200920032005
Current release4.2, August 2019Vertica Analytics Platform 9.2.x, March 2019
License infoCommercial or Open SourcecommercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.commercial infoLimited free edition and free developer edition availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesno infoMongoDB available as DBaaS (MongoDB Atlas)nono infoavailable on Amazon AWS and Microsoft Azure
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Deploy a fully managed cloud database on-demand and ready for use in minutes. Available on AWS, Azure, and GCP.
Implementation languageC++
Server operating systemshostedLinux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeyesschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.yesyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyesyes
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.yesyes
Secondary indexesyes infoall search fields are automatically indexedyesyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLnoRead-only SQL queries via the MongoDB Connector for BIno infoSplunk Search Processing Language for search commandsyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsHTTP APIproprietary protocol using JSONHTTP RESTADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesActionscript infoinofficial driver
C
C#
C++
Clojure infoinofficial driver
ColdFusion infoinofficial driver
D infoinofficial driver
Dart infoinofficial driver
Delphi infoinofficial driver
Erlang
Go
Groovy infoinofficial driver
Haskell
Java
JavaScript
Lisp infoinofficial driver
Lua infoinofficial driver
MatLab infoinofficial driver
Perl
PHP
PowerShell infoinofficial driver
Prolog infoinofficial driver
Python
R infoinofficial driver
Ruby
Scala
Smalltalk infoinofficial driver
C#
Java
JavaScript
PHP
Python
Ruby
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnoJavaScriptyesyes
Triggersnoyes infoin MongoDB Atlas onlyyesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infopartitioned by hashed, ranged, or zoned sharding keysShardingSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMaster-slave replicationMaster-master replicationMaster-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-document ACID Transactions with snapshot isolationno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infooptionalyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-memory storage engine introduced with MongoDB version 3.2no
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users and rolesAccess rights for users and rolesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Amazon CloudSearchMongoDBSplunkVertica infoVertica Analytics Platform
Specific characteristicsMongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesThe MongoDB Data Platform can be used by developers building OLTP and analytical...
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metrics70 million downloads (growing at more than 30 thousand downloads per day). 15,000+...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
Cost-based models and subscription-based models are available
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon CloudSearchMongoDBSplunkVertica infoVertica Analytics Platform
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