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DBMS > Amazon SimpleDB vs. CrateDB vs. Elasticsearch

System Properties Comparison Amazon SimpleDB vs. CrateDB vs. Elasticsearch

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonCrateDB  Xexclude from comparisonElasticsearch  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 ScioreDistributed Database based on LuceneA 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 metric
Primary database modelKey-value storeDocument store
Time Series DBMS
Search engine
Secondary database modelsRelational DBMS
Search engine
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.83
Rank#115  Overall
#23  Key-value stores
Score0.82
Rank#237  Overall
#35  Document stores
#19  Time Series DBMS
Score139.07
Rank#8  Overall
#1  Search engines
Websiteaws.amazon.com/­simpledbcrate.iowww.elastic.co/­elasticsearch
Technical documentationdocs.aws.amazon.com/­simpledbcrate.io/­-docswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html
DeveloperAmazonCrateElastic
Initial release200720132010
Current release8.6, January 2023
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoElastic License
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
Implementation languageJavaJava
Server operating systemshostedAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAll OS with a Java VM
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free infoFlexible type definitions. Once a type is defined, it is persistent
Typing infopredefined data types such as float or datenoyesyes
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.nono
Secondary indexesyes infoAll columns are indexed automaticallyyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyes, but no triggers and constraints, and PostgreSQL compatibilitySQL-like query language
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions (Javascript)yes
Triggersnonoyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesConfigurable replication on table/partition-levelyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoES-Hadoop Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Read-after-write consistency on record level
Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationno infounique row identifiers can be used for implementing an optimistic concurrency control strategyno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integration
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)rights management via user accounts
More information provided by the system vendor
Amazon SimpleDBCrateDBElasticsearch
Specific characteristicsCrateDB is an open-source distributed SQL database that spreads data and processing...
» more
Competitive advantagesCrateDB is typically used in operational analytics applications. In those scenarios,...
» more
Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data in order to monitor,...
» more
Key customersCrateDB customers include Bitmovin , ALPLA , Gantner Instruments , SPGo! , TGW Logistics...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsCrateDB Cloud The efficiency & range of CrateDB in the Cloud CrateDB Edge brings...
» more

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More resources
Amazon SimpleDBCrateDBElasticsearch
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Conferences and events

How O-CELL real-time monitoring solution helps to reduce the environmental impact of infrastructures with CrateDB
Webinar with Q&A; 5:00 pm - 5:45 pm CET, 5 April 2023

Learn simple No-Code Data Import and Visualization with CrateDB Cloud
Live Demo with Q&A; 4:00 pm - 4:30 pm CET, 27 April 2023

Finished events

Live Demo on Time-series data: from Raw Data to Fast Analysis in only 3 steps
Webinar, 16:00 - 16:45 CET, 22 February 2023 (finished)

CrateDB Community Day #2 – Maximizing your data potential with CrateDB integrations
Virtual Event, 4:00pm - 5:15pm CET, 23 March 2023 (finished)

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