DBMS > AgensGraph vs. Bangdb vs. Cloudflare Workers KV

System Properties Comparison AgensGraph vs. Bangdb vs. Cloudflare Workers KV

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Editorial information provided by DB-Engines

Name

Description

Multi-model database supporting relational and graph data models and built upon PostgreSQL

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.

Primary database model

Graph DBMS
Relational DBMS

Document store
Graph DBMS
Time Series DBMS

Key-value store

Secondary database models

Spatial DBMS

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

Score	0.16
Rank	#322	Overall
	#30	Graph DBMS
	#143	Relational DBMS

Score	0.06
Rank	#353	Overall
	#48	Document stores
	#36	Graph DBMS
	#35	Time Series DBMS

Score	0.28
Rank	#285	Overall
	#40	Key-value stores

Website

bitnine.net/agensgraph

bangdb.com

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

Technical documentation

bitnine.net/documentation

docs.bangdb.com

developers.cloudflare.com/kv/api

Developer

Bitnine Global Inc.

Sachin Sinha, BangDB

Cloudflare

Initial release

2016

2012

2018

Current release

2.1, December 2018

BangDB 2.0, October 2021

License

Commercial or Open Source

Open Source

Apache License 2.0

Open Source

BSD 3

commercial

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, C++

Server operating systems

Linux
OS X
Windows

Linux

hosted

Data scheme

depending on used data model

schema-free

Typing

predefined data types such as float or date

yes

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

SQL

Support of SQL

yes

SQL like support with command line tool

APIs and other access methods

Cypher Query Language
JDBC

Proprietary protocol
RESTful HTTP API

HTTP REST
Proprietary protocol

Supported programming languages

C
Java
JavaScript
Python

C
C#
C++
Java
Python

C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala

Server-side scripts

Stored procedures

yes

Triggers

yes, Notifications (with Streaming only)

Partitioning methods

Methods for storing different data on different nodes

no, but can be realized using table inheritance

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

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

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

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Tunable consistency, set CAP knob accordingly

Eventual 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

yes, optimistic concurrency control

yes

Durability

Support for making data persistent

yes

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, run db with in-memory only mode

User concepts

Access control

fine grained access rights according to SQL-standard

yes (enterprise version only)

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More resources

Recent citations in the news

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25 March 2019, Business Wire

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