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DBMS > Amazon Aurora vs. Cloudflare Workers KV vs. Elasticsearch vs. Qdrant

System Properties Comparison Amazon Aurora vs. Cloudflare Workers KV vs. Elasticsearch vs. Qdrant

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonElasticsearch  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.A 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 metricA high-performance vector database with neural network or semantic-based matching
Primary database modelRelational DBMSKey-value storeSearch engineVector DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.84
Rank#44  Overall
#28  Relational DBMS
Score0.29
Rank#283  Overall
#40  Key-value stores
Score128.79
Rank#8  Overall
#1  Search engines
Score1.53
Rank#145  Overall
#7  Vector DBMS
Websiteaws.amazon.com/­rds/­aurorawww.cloudflare.com/­developer-platform/­workers-kvwww.elastic.co/­elasticsearchgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldevelopers.cloudflare.com/­kv/­apiwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlqdrant.tech/­documentation
DeveloperAmazonCloudflareElasticQdrant
Initial release2015201820102021
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 VMDocker
Linux
macOS
Windows
Data schemeyesschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free
Typing infopredefined data types such as float or dateyesnoyesNumbers, Strings, Geo, Boolean
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 indexesyesnoyes infoAll search fields are automatically indexedyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLyesnoSQL-like query languageno
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP REST
Proprietary protocol
Java API
RESTful HTTP/JSON API
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyesnoyes
Triggersyesnoyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyesCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency, tunable 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.yesnoMemcached and Redis integrationyes
User concepts infoAccess controlfine grained access rights according to SQL-standardKey-based authentication

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More resources
Amazon AuroraCloudflare Workers KVElasticsearchQdrant
DB-Engines blog posts

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Recent citations in the news

Migrate SQL Server databases to Babelfish for Aurora PostgreSQL using change tracking with a linked server
24 September 2024, AWS Blog

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18 July 2024, AWS Blog

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2 February 2024, AWS Blog

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3 November 2023, DatacenterDynamics

How to Build a Scalable URL Shortener With Cloudflare Workers and KV Under 10 Minutes
21 August 2022, hackernoon.com

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2 November 2023, The Register

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2 September 2024, DevClass

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Unsecured Elasticsearch cluster exposes over 3M vehicle records
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24 July 2024, SiliconANGLE News

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Qdrant review: A highly flexible option for vector search
29 July 2024, InfoWorld

Open source vector database startup Qdrant raises $28M
23 January 2024, TechCrunch

Vector database company Qdrant wants RAG to be more cost-effective
2 July 2024, VentureBeat

Qdrant Announces an Industry-First Hybrid Cloud Offering For Enterprise AI Applications
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