DBMS > Google Cloud Bigtable vs. Kuzu

System Properties Comparison Google Cloud Bigtable vs. Kuzu

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Our visitors often compare Google Cloud Bigtable and Kuzu with PostgreSQL, Neo4j and Oracle.

Editorial information provided by DB-Engines

Name

Description

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

An embeddable property Graph DBMS built for query speed and scalability

Primary database model

Key-value store
Wide column store

Graph DBMS

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

Score	2.67
Rank	#95	Overall
	#15	Key-value stores
	#6	Wide column stores

Score	0.07
Rank	#350	Overall
	#37	Graph DBMS

Website

cloud.google.com/bigtable

kuzudb.com

Technical documentation

cloud.google.com/bigtable/docs

docs.kuzudb.com

Developer

Google

Initial release

2015

2022

Current release

0.4.2, May 2024

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

C++

Server operating systems

hosted

server-less

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

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

SQL

Support of SQL

APIs and other access methods

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

CLI Client
Cypher Query Language

Supported programming languages

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

C
C#
C++
Java
JavaScript
Python
Rust

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

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

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

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

Immediate Consistency

Foreign keys

Referential integrity

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

yes, multi-version concurrency control (MVCC)

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.

User concepts

Access control

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

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More resources

Recent citations in the news

Google Cloud adds graph processing to Spanner, SQL support to Bigtable
1 August 2024, InfoWorld

Google Cloud expands its database portfolio with new AI capabilities
1 August 2024, TechCrunch

Google scales up Cloud Bigtable NoSQL database
27 January 2022, TechTarget

Google Introduces Autoscaling for Cloud Bigtable for Optimizing Costs
31 January 2022, InfoQ.com

Google Launches Bigtable, A Big Managed Database In The Cloud
6 May 2015, Forbes

provided by Google News

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