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DBMS > Amazon Aurora vs. Amazon CloudSearch vs. Elasticsearch vs. GreptimeDB

System Properties Comparison Amazon Aurora vs. Amazon CloudSearch vs. Elasticsearch vs. GreptimeDB

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonElasticsearch  Xexclude from comparisonGreptimeDB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA hosted search engine service by Amazon with the data stored in Amazons cloudA 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 metricAn open source Time Series DBMS built for increased scalability, high performance and efficiency
Primary database modelRelational DBMSSearch engineSearch engineTime Series DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score1.81
Rank#137  Overall
#12  Search engines
Score132.83
Rank#7  Overall
#1  Search engines
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Websiteaws.amazon.com/­rds/­auroraaws.amazon.com/­cloudsearchwww.elastic.co/­elasticsearchgreptime.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.aws.amazon.com/­cloudsearchwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.greptime.com
DeveloperAmazonAmazonElasticGreptime Inc.
Initial release2015201220102022
Current release8.6, January 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoElastic LicenseOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRust
Server operating systemshostedhostedAll OS with a Java VMAndroid
Docker
FreeBSD
Linux
macOS
Windows
Data schemeyesyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnono
Secondary indexesyesyes infoall search fields are automatically indexedyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyesnoSQL-like query languageyes
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP APIJava API
RESTful HTTP/JSON API
gRPC
HTTP API
JDBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Erlang
Go
Java
JavaScript
Server-side scripts infoStored proceduresyesnoyesPython
Triggersyesnoyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes infoautomatic partitioning across Amazon Search Instance as requiredShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infomanaged transparently by AWSyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesMemcached and Redis integration
User concepts infoAccess controlfine grained access rights according to SQL-standardauthentication via encrypted signaturesSimple rights management via user accounts
More information provided by the system vendor
Amazon AuroraAmazon CloudSearchElasticsearchGreptimeDB
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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Amazon AuroraAmazon CloudSearchElasticsearchGreptimeDB
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