DBMS > atoti vs. Bangdb vs. Cloudflare Workers KV vs. IBM Cloudant vs. SwayDB

System Properties Comparison atoti vs. Bangdb vs. Cloudflare Workers KV vs. IBM Cloudant vs. SwayDB

Editorial information provided by DB-Engines

Name

Description

An in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.

Converged and high performance database for device data, events, time series, document and graph

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

Database as a Service offering based on Apache CouchDB

An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage

Primary database model

Object oriented DBMS

Document store
Graph DBMS
Time Series DBMS

Key-value store

Document store

Key-value store

Secondary database models

Spatial DBMS

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

Score	0.56
Rank	#245	Overall
	#10	Object oriented DBMS

Score	0.08
Rank	#347	Overall
	#47	Document stores
	#34	Graph DBMS
	#31	Time Series DBMS

Score	0.32
Rank	#283	Overall
	#40	Key-value stores

Score	2.68
Rank	#106	Overall
	#20	Document stores

Score	0.00
Rank	#382	Overall
	#59	Key-value stores

Website

atoti.io

bangdb.com

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

www.ibm.com/products/cloudant

swaydb.simer.au

Technical documentation

docs.atoti.io

docs.bangdb.com

developers.cloudflare.com/kv/api

cloud.ibm.com/docs/Cloudant

Developer

ActiveViam

Sachin Sinha, BangDB

Cloudflare

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

Simer Plaha

Initial release

2012

2018

2010

2018

Current release

BangDB 2.0, October 2021

License

Commercial or Open Source

commercial

free versions available

Open Source

BSD 3

commercial

Open Source

GNU Affero GPL V3.0

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

C, C++

Erlang

Scala

Server operating systems

Linux

hosted

Data scheme

schema-free

Typing

predefined data types such as float or date

yes: string, long, double, int, geospatial, stream, events

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

secondary, composite, nested, reverse, geospatial

yes

SQL

Support of SQL

Multidimensional Expressions (MDX)

SQL like support with command line tool

APIs and other access methods

Proprietary protocol
RESTful HTTP API

HTTP REST
Proprietary protocol

RESTful HTTP/JSON API

Supported programming languages

C
C#
C++
Java
Python

C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala

C#
Java
JavaScript
Objective-C
PHP
Ruby

Java
Kotlin
Scala

Server-side scripts

Stored procedures

Python

View functions (Map-Reduce) in JavaScript

Triggers

yes, Notifications (with Streaming only)

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding, horizontal partitioning

Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithm

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor, Knob for CAP (enterprise version only)

yes

Multi-source replication
Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Tunable consistency, set CAP knob accordingly

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

ACID

atomic operations within a document possible

Atomic execution of operations

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes, optimistic concurrency control

yes

Optimistic locking

yes

Durability

Support for making data persistent

yes, implements WAL (Write ahead log) as well

yes

In-memory capabilities

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

yes

yes, run db with in-memory only mode

yes

User concepts

Access control

yes (enterprise version only)

Access rights for users can be defined per database

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