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DBMS > Amazon SimpleDB vs. Elasticsearch vs. Faircom EDGE vs. Kinetica vs. Kuzu

System Properties Comparison Amazon SimpleDB vs. Elasticsearch vs. Faircom EDGE vs. Kinetica vs. Kuzu

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonKinetica  Xexclude from comparisonKuzu  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreA 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 metricFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsFully vectorized database across both GPUs and CPUsAn embeddable property Graph DBMS built for query speed and scalability
Primary database modelKey-value storeSearch engineKey-value store
Relational DBMS
Relational DBMSGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#128  Overall
#22  Key-value stores
Score128.79
Rank#8  Overall
#1  Search engines
Score0.02
Rank#370  Overall
#55  Key-value stores
#157  Relational DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.01
Rank#380  Overall
#39  Graph DBMS
Websiteaws.amazon.com/­simpledbwww.elastic.co/­elasticsearchwww.faircom.com/­products/­faircom-edgewww.kinetica.comkuzudb.com
Technical documentationdocs.aws.amazon.com/­simpledbwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.kinetica.comdocs.kuzudb.com
DeveloperAmazonElasticFairCom CorporationKinetica
Initial release20072010197920122022
Current release8.6, January 2023V3, October 20207.1, August 20210.4.2, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoElastic Licensecommercial infoRestricted, free version availablecommercialOpen Source infoMIT license
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 languageJavaANSI C, C++C, C++C++
Server operating systemshostedAll OS with a Java VMAndroid
Linux infoARM, x86
Raspbian
Windows
Linuxserver-less
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or datenoyesyes, ANSI Standard SQL Typesyesyes
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 indexesyes infoAll columns are indexed automaticallyyes infoAll search fields are automatically indexedyesyesno
SQL infoSupport of SQLnoSQL-like query languageyes infoANSI SQL queriesSQL-like DML and DDL statementsno
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP/JSON API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
CLI Client
Cypher Query Language
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript
Python
Rust
Server-side scripts infoStored proceduresnoyesyes info.Net, JavaScript, C/C++user defined functionsno
Triggersnoyes infoby using the 'percolation' featureyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingFile partitioning infoCustomizable business rules for partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornonono
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
Tunable Consistency
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyes infowhen using SQLyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyesyes, multi-version concurrency control (MVCC)
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.Memcached and Redis integrationyesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Fine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights for users and roles on table levelno

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More resources
Amazon SimpleDBElasticsearchFaircom EDGE infoformerly c-treeEDGEKineticaKuzu
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