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DBMS > Amazon DynamoDB vs. Atos Standard Common Repository vs. Hazelcast vs. Heroic vs. Percona Server for MongoDB

System Properties Comparison Amazon DynamoDB vs. Atos Standard Common Repository vs. Hazelcast vs. Heroic vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonHazelcast  Xexclude from comparisonHeroic  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA widely adopted in-memory data gridTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelDocument store
Key-value store
Document store
Key-value store
Key-value storeTime Series DBMSDocument store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score77.72
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score7.66
Rank#54  Overall
#5  Key-value stores
Score0.63
Rank#242  Overall
#21  Time Series DBMS
Score0.60
Rank#246  Overall
#38  Document stores
Websiteaws.amazon.com/­dynamodbatos.net/en/convergence-creators/portfolio/standard-common-repositoryhazelcast.comgithub.com/­spotify/­heroicwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdocs.aws.amazon.com/­dynamodbhazelcast.org/­imdg/­docsspotify.github.io/­heroicdocs.percona.com/­percona-distribution-for-mongodb
DeveloperAmazonAtos Convergence CreatorsHazelcastSpotifyPercona
Initial release20122016200820142015
Current release17035.3.6, November 20233.4.10-2.10, November 2017
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0Open Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC++
Server operating systemshostedLinuxAll OS with a Java VMLinux
Data schemeschema-freeSchema and schema-less with LDAP viewsschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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 infothe object must implement a serialization strategynono
Secondary indexesyesyesyesyes infovia Elasticsearchyes
SQL infoSupport of SQLnonoSQL-like query languagenono
APIs and other access methodsRESTful HTTP APILDAPJCache
JPA
Memcached protocol
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
proprietary protocol using JSON
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
All languages with LDAP bindings.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
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 proceduresnonoyes infoEvent Listeners, Executor ServicesnoJavaScript
Triggersyes infoby integration with AWS Lambdayesyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes infoReplicated MapyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
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 regionAtomic execution of specific operationsone or two-phase-commit; repeatable reads; read commitednono
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.yesyesnoyes infovia In-Memory Engine
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)LDAP bind authenticationRole-based access controlAccess rights for users and roles

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More resources
Amazon DynamoDBAtos Standard Common RepositoryHazelcastHeroicPercona Server for MongoDB
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