DBMS > Cloudflare Workers KV vs. Couchbase vs. TDengine vs. Trafodion

System Properties Comparison Cloudflare Workers KV vs. Couchbase vs. TDengine vs. Trafodion

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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 distributed document store with a powerful search engine and in-built operational and analytical capabilities

Time Series DBMS and big data platform

Transactional SQL-on-Hadoop DBMS

Primary database model

Secondary database models

Key-value store

originating from the former Membase product and supporting the Memcached protocol
Spatial DBMS

using the Geocouch extension

Relational DBMS

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

Score	0.18
Rank	#294	Overall
	#42	Key-value stores

Score	28.89
Rank	#30	Overall
	#5	Document stores

Score	0.96
Rank	#179	Overall
	#14	Time Series DBMS

Score	0.43
Rank	#254	Overall
	#120	Relational DBMS

Website

www.cloudflare.com/products/workers-kv

www.couchbase.com

github.com/taosdata/TDengine
tdengine.com

trafodion.apache.org

Technical documentation

developers.cloudflare.com/workers/runtime-apis/kv

docs.couchbase.com

www.taosdata.com/en/documentation

trafodion.apache.org

Developer

Cloudflare

Couchbase, Inc.

Taos Data

Apache Software Foundation, originally developed by HP

Initial release

2018

2011

2019

2014

Current release

Server: 7.0, July 2021; Mobile: 3, February 2022; Couchbase Capella, October 2021

2.3.0, February 2019

License

Commercial or Open Source

commercial

Open Source

Apache version 2; Commercial licenses also available

Open Source

GPL V3, also commercial editions available

Open Source

Apache 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.

Couchbase Capella: a fully managed database-as-a-service that eliminates database management efforts and reduces cost

Implementation language

C, C++, Go and Erlang

C++, Java

Server operating systems

hosted

Linux
OS X
Windows

Linux

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

String, Boolean, Number

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

Declarative query language (N1QL) that extends ANSI SQL to JSON. First commercial implementation of SQL++.

SQL-like query language

yes

APIs and other access methods

HTTP REST
Proprietary protocol

Native language bindings for CRUD, Query, Search and Analytics APIs

JDBC
RESTful HTTP API

ADO.NET
JDBC
ODBC

Supported programming languages

C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala

.Net
C
Go
Java
JavaScript

Node.js
PHP
Python
Ruby
Scala

.Net
C
C++
Go
Java
JavaScript (Node.js)
Lua
Python
Rust

All languages supporting JDBC/ODBC/ADO.Net

Server-side scripts

Stored procedures

Functions and timers in JavaScript

Java Stored Procedures

Triggers

yes

via the TAP protocol

yes, via alarm monitoring

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Multi-source replication

including cross data center replication
Source-replica replication

yes

yes, via HBase

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

via user defined functions and HBase

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Eventual Consistency
Immediate Consistency

selectable on a per-operation basis

Immediate Consistency

Foreign keys

Referential integrity

yes

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

In-memory capabilities

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

yes

Ephemeral buckets

User concepts

Access control

User and Administrator separation with password-based and LDAP integrated Authentication

yes

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

Developed as an alternative to traditionally inflexible relational databases, Couchbase...
» more

One of the modules of TDengine is the time-series database. However, in addition...
» more

Competitive advantages

Couchbase was architected with several differentiated capabilities: Shared-nothing,...
» more

Performance improvement over 10 times: An innovative data storage structure is defined,...
» more

Typical application scenarios

Customer 360 for user profile, session store and data aggregation (Comcast, Equifax,...
» more

IT Infrastructure, Servers and Applications Monitoring Internet of Cars, Trucks,...
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Key customers

Amadeus, AT&T, BD (Becton, Dickinson and Company), Carrefour, Cisco, Comcast, Disney,...
» more

Market metrics

Named a leader in the Forrester Wave™: Big Data NoSQL, Q1 2019 Over 10M downloads...
» more

Fastest growing database With more than 15,500 stars on GitHub
» more

Licensing and pricing models

The Community Edition (CE) of Couchbase Server and Couchbase Mobile are available...
» more

Open Source (AGPL v3) Enterprise / Cloud (https://www.taosdata.com/en/support/)
» more

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