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DBMS > Amazon DynamoDB vs. Heroic vs. InterSystems IRIS vs. Percona Server for MongoDB vs. RocksDB

System Properties Comparison Amazon DynamoDB vs. Heroic vs. InterSystems IRIS vs. Percona Server for MongoDB vs. RocksDB

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonHeroic  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Embeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelDocument store
Key-value store
Time Series DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Document storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score3.65
Rank#85  Overall
#11  Key-value stores
Websiteaws.amazon.com/­dynamodbgithub.com/­spotify/­heroicwww.intersystems.com/­products/­intersystems-iriswww.percona.com/­mongodb/­software/­percona-server-for-mongodbrocksdb.org
Technical documentationdocs.aws.amazon.com/­dynamodbspotify.github.io/­heroicdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.percona.com/­percona-distribution-for-mongodbgithub.com/­facebook/­rocksdb/­wiki
DeveloperAmazonSpotifyInterSystemsPerconaFacebook, Inc.
Initial release20122014201820152013
Current release2023.3, June 20233.4.10-2.10, November 20178.11.4, April 2024
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache 2.0commercialOpen Source infoGPL Version 2Open Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemshostedAIX
Linux
macOS
Ubuntu
Windows
LinuxLinux
Data schemeschema-freeschema-freedepending on used data modelschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.noyesnono
Secondary indexesyesyes infovia Elasticsearchyesyesno
SQL infoSupport of SQLnonoyesnono
APIs and other access methodsRESTful HTTP APIHQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
RESTful HTTP API
proprietary protocol using JSONC++ API
Java API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
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
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnonoyesJavaScriptno
Triggersyes infoby integration with AWS Lambdanoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnono
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 regionnoACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infovia In-Memory Engineyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesAccess rights for users and rolesno
More information provided by the system vendor
Amazon DynamoDBHeroicInterSystems IRISPercona Server for MongoDBRocksDB
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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Speedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
Amazon DynamoDBHeroicInterSystems IRISPercona Server for MongoDBRocksDB
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