DBMS > Cloudflare Workers KV vs. Google Cloud Bigtable vs. Neo4j vs. Quasardb

System Properties Comparison Cloudflare Workers KV vs. Google Cloud Bigtable vs. Neo4j vs. Quasardb

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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.

Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.

Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings

Distributed, high-performance timeseries database

Primary database model

Key-value store

Key-value store
Wide column store

Graph DBMS

Time Series DBMS

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

Score	0.12
Rank	#305	Overall
	#45	Key-value stores

Score	4.26
Rank	#86	Overall
	#14	Key-value stores
	#6	Wide column stores

Score	60.14
Rank	#19	Overall
	#1	Graph DBMS

Score	0.11
Rank	#310	Overall
	#28	Time Series DBMS

Website

www.cloudflare.com/products/workers-kv

cloud.google.com/bigtable

neo4j.com

quasardb.net

Technical documentation

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

cloud.google.com/bigtable/docs

neo4j.com/docs

doc.quasar.ai/master

Developer

Cloudflare

Google

Neo4j, Inc.

quasardb

Initial release

2018

2015

2007

2009

Current release

4.4.6, April 2022

3.13.3, April 2022

License

Commercial or Open Source

commercial

Open Source

GPL version3, commercial licenses available

commercial

Free community edition, Non-profit organizations and non-commercial usage are eligible for free licenses

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.

Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.

Implementation language

Java, Scala

C++

Server operating systems

hosted

Linux

Can also be used server-less as embedded Java database.
OS X
Solaris
Windows

BSD
Linux
OS X
Windows

Data scheme

schema-free

schema-free and schema-optional

schema-free

Typing

predefined data types such as float or date

yes

integer and binary

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

pluggable indexing subsystem, by default Apache Lucene

yes

with tags

SQL

Support of SQL

SQL-like query language

APIs and other access methods

HTTP REST
Proprietary protocol

gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)

Bolt protocol
Cypher query language
Java API
Neo4j-OGM

Object Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3

HTTP API

Supported programming languages

C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala

C#
C++
Go
Java
JavaScript (Node.js)
Python

.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala

.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R

Server-side scripts

Stored procedures

yes

User defined Procedures and Functions

Triggers

yes

via event handler

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes using Neo4j Fabric

Sharding

consistent hashing

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Internal replication in Colossus, and regional replication between two clusters in different zones

Causal Clustering using Raft protocol

available in in Enterprise Version only

Source-replica replication with selectable replication factor

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

with Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)

Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

Transaction concepts

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

Atomic single-row operations

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by using LevelDB

In-memory capabilities

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

yes

Transient mode

User concepts

Access control

Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)

Cryptographically strong user authentication and audit trail

More information provided by the system vendor

Specific characteristics

Neo4j delivers graph technology that has been battle tested for performance and scale...
» more

High-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more

Competitive advantages

Neo4j is the market leader, graph database category creator, and the most widely...
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High performance in a cost-effective small package Real-time results for even large...
» more

Typical application scenarios

Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more

Tick database Predictive maintenance Pre-deal checks Large scale monitoring
» more

Key customers

Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more

Large EU investment banks US based hedge funds Orolia Tellmeplus
» more

Market metrics

Neo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more

Has been running in very demanding production environments since 2013 Rapid adoption...
» more

Licensing and pricing models

GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more

Community edition limited to 2 nodes and 16 GiB of storage per node available for...
» more

News

Our Journey to Self-Discovery: Synthesizing 30 Years of Data Pipelines With Knowledge Graphs
17 May 2022

How Knowledge Graphs Drive More Sales With Real-Time Recommendation Engines
16 May 2022

This Week in Neo4j: Graphs4Good, GraphQL, Game of Life, Information Extraction, Cypher Map Projection, and More
14 May 2022

Graphs for Cybersecurity: Cyberthreats, Vulnerabilities, and Risk
12 May 2022

GraphConnect 2022: Make the Most of Austin, Texas
11 May 2022

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.