DBMS > Amazon DynamoDB vs. Cloudflare Workers KV vs. IBM Db2 Event Store

System Properties Comparison Amazon DynamoDB vs. Cloudflare Workers KV vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines

Name

Description

Hosted, scalable database service by Amazon with the data stored in Amazons cloud

A global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.

Distributed Event Store optimized for Internet of Things use cases

Primary database model

Document store
Key-value store

Key-value store

Event Store
Time Series DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	79.30
Rank	#15	Overall
	#3	Document stores
	#2	Key-value stores

Score	0.32
Rank	#274	Overall
	#40	Key-value stores

Score	0.20
Rank	#312	Overall
	#2	Event Stores
	#26	Time Series DBMS

Website

aws.amazon.com/dynamodb

www.cloudflare.com/developer-platform/workers-kv

www.ibm.com/products/db2-event-store

Technical documentation

docs.aws.amazon.com/dynamodb

developers.cloudflare.com/kv/api

www.ibm.com/docs/en/db2-event-store

Developer

Amazon

Cloudflare

IBM

Initial release

2012

2018

2017

Current release

2.0

License

Commercial or Open Source

commercial

free tier for a limited amount of database operations

commercial

free developer edition available

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C and C++

Server operating systems

hosted

Linux

Linux, macOS, Windows for the developer addition

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

SQL

Support of SQL

yes

through the embedded Spark runtime

APIs and other access methods

RESTful HTTP API

HTTP REST
Proprietary protocol

ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API

Supported programming languages

.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby

C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala

C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic

Server-side scripts

Stored procedures

yes

Triggers

yes

by integration with AWS Lambda

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Active-active shard replication

MapReduce

Offers an API for user-defined Map/Reduce methods

may be implemented via Amazon Elastic MapReduce (Amazon EMR)

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

can be specified for read operations

Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

ACID across one or more tables within a single AWS account and region

Concurrency

Support for concurrent manipulation of data

yes

No - written data is immutable

Durability

Support for making data persistent

yes

Yes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)

fine grained access rights according to SQL-standard

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More resources

DB-Engines blog posts

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12 December 2019, Paul Andlinger

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Recent citations in the news

Ingest CSV data to Amazon DynamoDB using AWS Lambda
12 May 2025, Amazon Web Services (AWS)

Announcing the end of support for AWS DynamoDB Session State Provider
7 May 2025, Amazon Web Services (AWS)

Announcing configurable point-in-time recovery periods for Amazon DynamoDB
7 January 2025, Amazon Web Services (AWS)

Amazon DynamoDB re:Invent 2024 recap
19 December 2024, Amazon Web Services (AWS)

New Amazon DynamoDB zero-ETL integration with Amazon SageMaker Lakehouse | Amazon Web Services
3 December 2024, Amazon Web Services (AWS)

provided by Google News

We made Workers KV up to 3x faster — here’s the data
26 September 2024, The Cloudflare Blog

Skip the setup: deploy a Workers application in seconds
8 April 2025, The Cloudflare Blog

Making Workers AI faster and more efficient: Performance optimization with KV cache compression and speculative decoding
26 September 2024, The Cloudflare Blog

Moving Baselime from AWS to Cloudflare: simpler architecture, improved performance, over 80% lower cloud costs
31 October 2024, The Cloudflare Blog

Startup spotlight: building AI agents and accelerating innovation with Cohort #5
11 April 2025, The Cloudflare Blog

provided by Google News

IBM Builds New Ultra-Fast Platform for Hoovering Up and Analyzing Data from Anywhere
31 May 2024, Data Center Knowledge

provided by Google News

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