DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon DynamoDB vs. Elasticsearch vs. InfluxDB vs. Microsoft Azure AI Search vs. MonetDB

System Properties Comparison Amazon DynamoDB vs. Elasticsearch vs. InfluxDB vs. Microsoft Azure AI Search vs. MonetDB

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonInfluxDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionHosted, scalable database 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 metricDBMS for storing time series, events and metricsSearch-as-a-service for web and mobile app developmentA relational database management system that stores data in columns
Primary database modelDocument store
Key-value store
Search engineTime Series DBMSSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Spatial DBMS infowith GEO packageVector DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score135.35
Rank#7  Overall
#1  Search engines
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score1.72
Rank#145  Overall
#67  Relational DBMS
Websiteaws.amazon.com/­dynamodbwww.elastic.co/­elasticsearchwww.influxdata.com/­products/­influxdb-overviewazure.microsoft.com/­en-us/­services/­searchwww.monetdb.org
Technical documentationdocs.aws.amazon.com/­dynamodbwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.influxdata.com/­influxdblearn.microsoft.com/­en-us/­azure/­searchwww.monetdb.org/­Documentation
DeveloperAmazonElasticMicrosoftMonetDB BV
Initial release20122010201320152004
Current release8.6, January 20232.7.6, April 2024V1Dec2023 (11.49), December 2023
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoElastic LicenseOpen Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC
Server operating systemshostedAll OS with a Java VMLinux
OS X infothrough Homebrew
hostedFreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsyesyes
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.nonono
Secondary indexesyesyes infoAll search fields are automatically indexednoyesyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like query languagenoyes infoSQL 2003 with some extensions
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP/JSON API
HTTP API
JSON over UDP
RESTful HTTP APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
Java
JavaScript
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnoyesnonoyes, in SQL, C, R
Triggersyes infoby integration with AWS Lambdayes infoby using the 'percolation' featurenonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoin enterprise version onlySharding infoImplicit feature of the cloud serviceSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication factor infoin enterprise version onlyyes infoImplicit feature of the cloud servicenone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)ES-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
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionnononoACID
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.Memcached and Redis integrationyes infoDepending on used storage engineno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)simple rights management via user accountsyes infousing Azure authenticationfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon DynamoDBElasticsearchInfluxDBMicrosoft Azure AI SearchMonetDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
News

An Introductory Guide to Grafana Alerts
16 May 2024

What is DevRel at InfluxData
14 May 2024

What to Expect When You’re Expecting InfluxDB: A Guide
14 May 2024

Introduction to Apache Iceberg
9 May 2024

Converting Timestamp to Date in Java
7 May 2024

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon DynamoDBElasticsearchInfluxDBMicrosoft Azure AI SearchMonetDB
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

show all

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Elasticsearch moved into the top 10 most popular database management systems
3 July 2017, Matthias Gelbmann

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

show all

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

show all

Recent citations in the news

Uber Migrates 1 Trillion Records from DynamoDB to LedgerStore to Save $6 Million Annually
19 May 2024, InfoQ.com

Freecharge lowered their identity management system cost and improved scaling by switching to Amazon DynamoDB ...
20 May 2024, AWS Blog

Using the circuit-breaker pattern with AWS Lambda extensions and Amazon DynamoDB | Amazon Web Services
16 May 2024, AWS Blog

Migrating Uber's Ledger Data from DynamoDB to LedgerStore
11 April 2024, Uber

Zendesk Moves from DynamoDB to MySQL and S3 to Save over 80% in Costs
29 December 2023, InfoQ.com

provided by Google News

Elasticsearch Enables 400 Criteo Engineers to Search 4 TB of Log Data per Week
19 May 2024, Yahoo Singapore News

Netflix Uses Elasticsearch Percolate Queries to Implement Reverse Searches Efficiently
29 April 2024, InfoQ.com

Splunk vs Elasticsearch | A Comparison and How to Choose
12 January 2024, SentinelOne

Introducing Elasticsearch Vector Database to Azure OpenAI Service On Your Data (Preview)
26 March 2024, insider.govtech.com

ElasticSearch Goes Deep on OpenTelemetry with eBPF Donation
13 March 2024, The New Stack

provided by Google News

Introducing Amazon Timestream for InfluxDB: A managed service for the popular open source time-series database ...
20 May 2024, AWS Blog

Amazon Timestream: Managed InfluxDB for Time Series Data
14 March 2024, The New Stack

InfluxData Collaborating with AWS to Bring InfluxDB and Time Series Analytics to Developers Around the World
14 March 2024, Business Wire

How the FDAP Stack Gives InfluxDB 3.0 Real-Time Speed, Efficiency
15 March 2024, Datanami

Run and manage open source InfluxDB databases with Amazon Timestream | Amazon Web Services
14 March 2024, AWS Blog

provided by Google News

Microsoft beefs up Azure's arsenal of generative AI development tools
21 May 2024, SiliconANGLE News

Microsoft Azure AI gains new LLMs, governance features
21 May 2024, InfoWorld

Azure AI Studio Now Generally Available, Sporting New Models Both Big and Small
21 May 2024, Visual Studio Magazine

Microsoft Azure gets 'Models as a Service,' enhanced RAG offerings for enterprise generative AI
21 May 2024, ZDNet

Announcing updates to Azure AI Search to help organizations build and scale generative AI applications
4 April 2024, Microsoft

provided by Google News

In 2024 the MonetDB Foundation was established for the preservation, maintenance and further development of the ...
31 January 2024, Centrum Wiskunde & Informatica (CWI)

MonetDB Secures Investment From (and Partners With) ServiceNow
9 December 2021, Datanami

How MonetDB Exploits Modern CPU Performance | by Dwi Prasetyo Adi Nugroho
14 January 2020, Towards Data Science

MonetDB Solutions secures investment from ServiceNow
30 September 2019, Centrum Wiskunde & Informatica (CWI)

Monet DB The Column-Store Pioneer - open source for you
4 September 2019, Open Source For You

provided by Google News



Share this page

Featured Products

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

SingleStore logo

The database to transact, analyze and contextualize your data in real time.
Try it today.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here