DBMS > Databricks vs. GBase vs. Google Cloud Spanner

System Properties Comparison Databricks vs. GBase vs. Google Cloud Spanner

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Editorial information provided by DB-Engines

Name

Description

The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.

Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.

A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.

Primary database model

Document store
Relational DBMS

Relational DBMS

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

Score	87.85
Rank	#13	Overall
	#2	Document stores
	#9	Relational DBMS

Score	1.24
Rank	#164	Overall
	#74	Relational DBMS

Score	2.80
Rank	#91	Overall
	#50	Relational DBMS

Website

www.databricks.com

www.gbase.cn

cloud.google.com/spanner

Technical documentation

docs.databricks.com

cloud.google.com/spanner/docs

Developer

Databricks

General Data Technology Co., Ltd.

Google

Initial release

2013

2004

2017

Current release

GBase 8a, GBase 8s, GBase 8c

License

Commercial or Open Source

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C, Java, Python

Server operating systems

hosted

Linux

hosted

Data scheme

Flexible Schema (defined schema, partial schema, 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.

yes

Secondary indexes

yes

SQL

Support of SQL

with Databricks SQL

Standard with numerous extensions

yes

Query statements complying to ANSI 2011

APIs and other access methods

JDBC
ODBC
RESTful HTTP API

ADO.NET
C API
JDBC
ODBC

gRPC (using protocol buffers) API
JDBC

At present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API

Supported programming languages

Python
R
Scala

Go
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

user defined functions and aggregates

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning (by range, list and hash) and vertical partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Multi-source replication with 3 replicas for regional instances.

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

using Google Cloud Dataflow

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

by using interleaved tables, this features focuses more on performance improvements than on referential integrity

Transaction concepts

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

ACID

Strict serializable isolation

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.

User concepts

Access control

yes

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

More information provided by the system vendor

Specific characteristics

Supported database models : In addition to the Document store and Relational DBMS...
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More resources

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Recent citations in the news

Databricks Inks $5 Billion of Private Credit, Bank Funding
13 January 2025, Yahoo Finance

Report: Databricks Completes Largest Financing Round Yet, Raising $5 Billion
14 January 2025, PYMNTS.com

Databricks Raises $5 Billion in Debt Financing
14 January 2025, The Information

Databricks announces $10 billion financing at $62 billion valuation
17 December 2024, CNBC

‘It’s dumb to IPO this year’: Databricks CEO explains why he’s waiting to go public
17 December 2024, TechCrunch

provided by Google News

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

New features make Google's Spanner a database for AI
1 August 2024, TechTarget

Google Cloud adds graph and vector search features to Spanner database
2 August 2024, Techzine Europe

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

Google Cloud announces new data innovations to support AI applications
1 August 2024, SiliconANGLE News

provided by Google News

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