DBMS > Cloudflare Workers KV vs. XTDB

System Properties Comparison Cloudflare Workers KV vs. XTDB

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Our visitors often compare Cloudflare Workers KV and XTDB with Amazon DynamoDB, PostgreSQL and Google Cloud Spanner.

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.

A general purpose database with bitemporal SQL and Datalog and graph queries

Primary database model

Key-value store

Document store

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

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

Score	0.20
Rank	#314	Overall
	#46	Document stores

Website

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

github.com/xtdb/xtdb
www.xtdb.com

Technical documentation

developers.cloudflare.com/kv/api

www.xtdb.com/docs

Developer

Cloudflare

Juxt Ltd.

Initial release

2018

2019

Current release

1.19, September 2021

License

Commercial or Open Source

commercial

Open Source

MIT License

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

Clojure

Server operating systems

hosted

All OS with a Java 8 (and higher) VM
Linux

Data scheme

schema-free

Typing

predefined data types such as float or date

yes, extensible-data-notation format

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

limited SQL, making use of Apache Calcite

APIs and other access methods

HTTP REST
Proprietary protocol

HTTP REST
JDBC

Supported programming languages

C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala

Clojure
Java

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

yes, each node contains all data

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB

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

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