DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon DynamoDB vs. Elasticsearch vs. GreptimeDB vs. Microsoft Azure Cosmos DB vs. Percona Server for MySQL

System Properties Comparison Amazon DynamoDB vs. Elasticsearch vs. GreptimeDB vs. Microsoft Azure Cosmos DB vs. Percona Server for MySQL

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonGreptimeDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonPercona Server for MySQL  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 metricAn open source Time Series DBMS built for increased scalability, high performance and efficiencyGlobally distributed, horizontally scalable, multi-model database serviceEnhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.
Primary database modelDocument store
Key-value store
Search engineTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
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
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score2.03
Rank#122  Overall
#57  Relational DBMS
Websiteaws.amazon.com/­dynamodbwww.elastic.co/­elasticsearchgreptime.comazure.microsoft.com/­services/­cosmos-dbwww.percona.com/­software/­mysql-database/­percona-server
Technical documentationdocs.aws.amazon.com/­dynamodbwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.greptime.comlearn.microsoft.com/­azure/­cosmos-dbwww.percona.com/­downloads/­Percona-Server-LATEST
DeveloperAmazonElasticGreptime Inc.MicrosoftPercona
Initial release20122010202220142008
Current release8.6, January 20238.0.36-28, 2024
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoElastic LicenseOpen Source infoApache Version 2.0commercialOpen Source infoGPL version 2
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 languageJavaRustC and C++
Server operating systemshostedAll OS with a Java VMAndroid
Docker
FreeBSD
Linux
macOS
Windows
hostedLinux
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infoJSON typesyes
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.nonoyes
Secondary indexesyesyes infoAll search fields are automatically indexedyesyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLnoSQL-like query languageyesSQL-like query languageyes
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP/JSON API
gRPC
HTTP API
JDBC
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
ADO.NET
JDBC
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
C++
Erlang
Go
Java
JavaScript
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyesPythonJavaScriptyes
Triggersyes infoby integration with AWS Lambdayes infoby using the 'percolation' featureJavaScriptyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
XtraDB Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)ES-Hadoop Connectornowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
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 ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes
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 regionnoMulti-item ACID transactions with snapshot isolation within a partitionACID
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
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 accountsAccess rights can be defined down to the item levelUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
Amazon DynamoDBElasticsearchGreptimeDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBPercona Server for MySQL
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

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
CData: 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 DynamoDBElasticsearchGreptimeDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBPercona Server for MySQL
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

Recent citations in the news

Continuously replicate Amazon DynamoDB changes to Amazon Aurora PostgreSQL using AWS Lambda | Amazon ...
14 May 2024, AWS Blog

Using Elasticsearch to Offload Search and Analytics from DynamoDB: Pros and Cons
10 May 2024, hackernoon.com

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

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

How Heroku reduced their operational overhead by migrating their 30 TB self-managed database from Amazon EC2 to ...
9 May 2024, AWS Blog

provided by Google News

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

Using Elasticsearch to Offload Search and Analytics from DynamoDB: Pros and Cons
10 May 2024, hackernoon.com

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

8 Powerful Alternatives to Elasticsearch
25 April 2024, Yahoo Finance

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

provided by Google News

Start your AI journey with Microsoft Azure Cosmos DB—compete for $10K
9 May 2024, Microsoft

Public preview: Change partition key of a container in Azure Cosmos DB (NoSQL API) | Azure updates
27 March 2024, Microsoft

General availability: Microsoft Entra ID integration with Azure Cosmos DB for PostgreSQL | Azure updates
13 March 2024, Microsoft

Azure Cosmos DB Conf 2023
12 January 2024, Microsoft

Azure Synapse Link for Cosmos DB: New Analytics Capabilities
10 November 2023, InfoQ.com

provided by Google News

A Momentous 2023, Headlined by a 19% increase of ARR, Positions Percona for Even Greater Success in the Year ...
27 March 2024, Business Wire

Update or migrate? Planning for MySQL 5.7 EOL
22 June 2023, InfoWorld

Percona Server for MySQL 8.0 Delivers Increased Reliability, Performance and Security
31 October 2018, GlobeNewswire

Sizing Up Servers: Intel's Skylake-SP Xeon versus AMD's EPYC 7000 - The Server CPU Battle of the Decade?
11 July 2017, AnandTech

How to deploy the Percona database performance monitor with Docker
24 February 2023, TechRepublic

provided by Google News



Share this page

Featured Products

Neo4j logo

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

Milvus logo

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

RaimaDB logo

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

Database for your real-time AI and Analytics Apps.
Try it today.

Present your product here