DBMS > Cloudflare Workers KV vs. NSDb

System Properties Comparison Cloudflare Workers KV vs. NSDb

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Our visitors often compare Cloudflare Workers KV and NSDb with DuckDB, PostgreSQL and Microsoft SQL Server.

Editorial information provided by DB-Engines

Name

Description

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

Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes

Primary database model

Key-value store

Time Series DBMS

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

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

Score	0.00
Rank	#385	Overall
	#42	Time Series DBMS

Website

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

nsdb.io

Technical documentation

developers.cloudflare.com/kv/api

nsdb.io/Architecture

Developer

Cloudflare

Initial release

2018

2017

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

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

Java, Scala

Server operating systems

hosted

Linux
macOS

Data scheme

schema-free

Typing

predefined data types such as float or date

yes: int, bigint, decimal, string

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

all fields are automatically indexed

SQL

Support of SQL

SQL-like query language

APIs and other access methods

HTTP REST
Proprietary protocol

gRPC
HTTP REST
WebSocket

Supported programming languages

C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala

Java
Scala

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

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

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

Using Apache Lucene

In-memory capabilities

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

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More resources

Recent citations in the 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

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