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DBMS > Amazon DynamoDB vs. ClickHouse vs. OpenSearch

System Properties Comparison Amazon DynamoDB vs. ClickHouse vs. OpenSearch

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonClickHouse  Xexclude from comparisonOpenSearch  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudA high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.A distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache Lucene
Primary database modelDocument store
Key-value store
Relational DBMSSearch engine
Vector DBMS
Secondary database modelsTime Series DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score79.30
Rank#15  Overall
#3  Document stores
#2  Key-value stores
Score18.77
Rank#31  Overall
#19  Relational DBMS
Score17.38
Rank#32  Overall
#4  Search engines
#2  Vector DBMS
Websiteaws.amazon.com/­dynamodbclickhouse.comgithub.com/­opensearch-project
opensearch.org
Technical documentationdocs.aws.amazon.com/­dynamodbclickhouse.com/­docsopensearch.org/­docs/­latest
DeveloperAmazonClickhouse Inc.The OpenSearch Software Foundation
Initial release201220162021
Current releasev24.6.2.17-stable, July 20242.19, February 2025
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache 2.0Open Source infoApache Version 2.0
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.
STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
Implementation languageC++Java
Server operating systemshostedFreeBSD
Linux
macOS
All OS with a Java VM
Data schemeschema-freeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistent
Typing infopredefined data types such as float or dateyesyesyes
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.no
Secondary indexesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoClose to ANSI SQL (SQL/JSON + extensions)SQL-like query language
APIs and other access methodsRESTful HTTP APIgRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Rust
Scala info3rd party library
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
Server-side scripts infoStored proceduresnoyesyes
Triggersyes infoby integration with AWS Lambdanoyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesShardingkey based and customSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual 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 dataACID infoACID across one or more tables within a single AWS account and regionnono
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.yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.

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Amazon DynamoDBClickHouseOpenSearch
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