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DBMS > Amazon SimpleDB vs. Atos Standard Common Repository vs. Elasticsearch vs. Geode vs. KairosDB

System Properties Comparison Amazon SimpleDB vs. Atos Standard Common Repository vs. Elasticsearch vs. Geode vs. KairosDB

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonElasticsearch  Xexclude from comparisonGeode  Xexclude from comparisonKairosDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA 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 metricGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesDistributed Time Series DBMS based on Cassandra or H2
Primary database modelKey-value storeDocument store
Key-value store
Search engineKey-value storeTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score132.83
Rank#7  Overall
#1  Search engines
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Websiteaws.amazon.com/­simpledbatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.elastic.co/­elasticsearchgeode.apache.orggithub.com/­kairosdb/­kairosdb
Technical documentationdocs.aws.amazon.com/­simpledbwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlgeode.apache.org/­docskairosdb.github.io
DeveloperAmazonAtos Convergence CreatorsElasticOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.
Initial release20072016201020022013
Current release17038.6, January 20231.1, February 20171.2.2, November 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoElastic LicenseOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0
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 languageJavaJavaJavaJava
Server operating systemshostedLinuxAll OS with a Java VMAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Windows
Data schemeschema-freeSchema and schema-less with LDAP viewsschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeschema-free
Typing infopredefined data types such as float or datenooptionalyesyesyes
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.yesnonono
Secondary indexesyes infoAll columns are indexed automaticallyyesyes infoAll search fields are automatically indexednono
SQL infoSupport of SQLnonoSQL-like query languageSQL-like query language (OQL)no
APIs and other access methodsRESTful HTTP APILDAPJava API
RESTful HTTP/JSON API
Java Client API
Memcached protocol
RESTful HTTP API
Graphite protocol
HTTP REST
Telnet API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
All languages with LDAP bindings.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
All JVM based languages
C++
Groovy
Java
Scala
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnonoyesuser defined functionsno
Triggersnoyesyes infoby using the 'percolation' featureyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infocell divisionShardingShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyesMulti-source replicationselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornono
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 configurationEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationAtomic execution of specific operationsnoyes, on a single nodeno
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.yesMemcached and Redis integrationyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)LDAP bind authenticationAccess rights per client and object definablesimple password-based access control

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More resources
Amazon SimpleDBAtos Standard Common RepositoryElasticsearchGeodeKairosDB
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