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DBMS > Amazon DynamoDB vs. Elasticsearch vs. InfinityDB vs. MongoDB vs. RRDtool

System Properties Comparison Amazon DynamoDB vs. Elasticsearch vs. InfinityDB vs. MongoDB vs. RRDtool

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonInfinityDB  Xexclude from comparisonMongoDB  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricA Java embedded Key-Value Store which extends the Java Map interfaceOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelDocument store
Key-value store
Search engineKey-value storeDocument storeTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Spatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score77.57
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score134.78
Rank#7  Overall
#1  Search engines
Score0.07
Rank#359  Overall
#54  Key-value stores
Score423.96
Rank#5  Overall
#1  Document stores
Score2.14
Rank#124  Overall
#10  Time Series DBMS
Websiteaws.amazon.com/­dynamodbwww.elastic.co/­elasticsearchboilerbay.comwww.mongodb.comoss.oetiker.ch/­rrdtool
Technical documentationdocs.aws.amazon.com/­dynamodbwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlboilerbay.com/­infinitydb/­manualwww.mongodb.com/­docs/­manualoss.oetiker.ch/­rrdtool/­doc
DeveloperAmazonElasticBoiler Bay Inc.MongoDB, IncTobias Oetiker
Initial release20122010200220091999
Current release8.6, January 20234.06.0.7, June 20231.8.0, 2022
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoElastic LicensecommercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud serviceyesnonono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
Implementation languageJavaJavaC++C infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemshostedAll OS with a Java VMAll OS with a Java VMLinux
OS X
Solaris
Windows
HP-UX
Linux
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-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.yes
Typing infopredefined data types such as float or dateyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes infostring, integer, double, decimal, boolean, date, object_id, geospatialNumeric data only
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.nonono infoExporting into and restoring from XML files possible
Secondary indexesyesyes infoAll search fields are automatically indexedno infomanual creation possible, using inversions based on multi-value capabilityyesno
SQL infoSupport of SQLnoSQL-like query languagenoRead-only SQL queries via the MongoDB Atlas SQL Interfaceno
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP/JSON API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
in-process shared library
Pipes
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
JavaActionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresnoyesnoJavaScriptno
Triggersyes infoby integration with AWS Lambdayes infoby using the 'percolation' featurenoyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.none
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnoneMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)ES-Hadoop Connectornoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency infoREAD-COMMITTED or SERIALIZEDEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
none
Foreign keys infoReferential integritynonono infomanual creation possible, using inversions based on multi-value capabilityno infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionnoACID infoOptimistic locking for transactions; no isolation for bulk loadsMulti-document ACID Transactions with snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyesyesyes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationnoyes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noAccess rights for users and rolesno
More information provided by the system vendor
Amazon DynamoDBElasticsearchInfinityDBMongoDBRRDtool
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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More resources
Amazon DynamoDBElasticsearchInfinityDBMongoDBRRDtool
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