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DBMS > Amazon DocumentDB vs. Atos Standard Common Repository vs. etcd vs. Hazelcast vs. SiteWhere

System Properties Comparison Amazon DocumentDB vs. Atos Standard Common Repository vs. etcd vs. Hazelcast vs. SiteWhere

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonetcd  Xexclude from comparisonHazelcast  Xexclude from comparisonSiteWhere  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA distributed reliable key-value storeA widely adopted in-memory data gridM2M integration platform for persisting/querying time series data
Primary database modelDocument storeDocument store
Key-value store
Key-value storeKey-value storeTime Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score7.25
Rank#54  Overall
#5  Key-value stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websiteaws.amazon.com/­documentdbatos.net/en/convergence-creators/portfolio/standard-common-repositoryetcd.io
github.com/­etcd-io/­etcd
hazelcast.comgithub.com/­sitewhere/­sitewhere
Technical documentationaws.amazon.com/­documentdb/­resourcesetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
hazelcast.org/­imdg/­docssitewhere1.sitewhere.io/­index.html
DeveloperAtos Convergence CreatorsHazelcastSiteWhere
Initial release2019201620082010
Current release17033.4, August 20195.3.6, November 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoCommon Public Attribution License Version 1.0
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 languageJavaGoJavaJava
Server operating systemshostedLinuxFreeBSD
Linux
Windows infoexperimental
All OS with a Java VMLinux
OS X
Windows
Data schemeschema-freeSchema and schema-less with LDAP viewsschema-freeschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesoptionalnoyesyes
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.noyesnoyes infothe object must implement a serialization strategyno
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLnononoSQL-like query languageno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)LDAPgRPC
JSON over HTTP
JCache
JPA
Memcached protocol
RESTful HTTP API
HTTP REST
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages with LDAP bindings.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnononoyes infoEvent Listeners, Executor Services
Triggersnoyesyes, watching key changesyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes infoReplicated Mapselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsAtomic execution of specific operationsnoone or two-phase-commit; repeatable reads; read commitedno
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.yesnoyesno
User concepts infoAccess controlAccess rights for users and rolesLDAP bind authenticationnoRole-based access controlUsers with fine-grained authorization concept

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More resources
Amazon DocumentDBAtos Standard Common RepositoryetcdHazelcastSiteWhere
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