DBMS > Google Cloud Spanner vs. MaxDB vs. Oracle

System Properties Comparison Google Cloud Spanner vs. MaxDB vs. Oracle

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Editorial information provided by DB-Engines

Name

Description

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.

A robust and reliable RDBMS optimized to run all major SAP solutions

Widely used RDBMS

Primary database model

Relational DBMS

Secondary database models

Document store
Graph DBMS

with Oracle Spatial and Graph
RDF store

with Oracle Spatial and Graph
Spatial DBMS

with Oracle Spatial and Graph
Vector DBMS

since Oracle 23

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

Score	2.56
Rank	#97	Overall
	#50	Relational DBMS

Score	1.94
Rank	#117	Overall
	#56	Relational DBMS

Score	1226.57
Rank	#1	Overall
	#1	Relational DBMS

Website

cloud.google.com/spanner

maxdb.sap.com

www.oracle.com/database

Technical documentation

cloud.google.com/spanner/docs

maxdb.sap.com/documentation

docs.oracle.com/en/database

Developer

Google

SAP, acquired from Software AG (Adabas-D) in 1997

Oracle

Initial release

2017

1984

1980

Current release

7.9.10.12, February 2024

23c, September 2023

License

Commercial or Open Source

commercial

Limited community edition free

commercial

restricted free version is available

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 and C++

Server operating systems

hosted

AIX
HP-UX
Linux
Solaris
Windows

AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS

Data scheme

yes

Schemaless in JSON and XML columns

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

yes

Query statements complying to ANSI 2011

yes

with proprietary extensions

APIs and other access methods

gRPC (using protocol buffers) API
JDBC

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

ADO.NET
JDBC
ODBC
WebDAV

JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)

Supported programming languages

Go
Java
JavaScript (Node.js)
Python

.Net
C#
Java
Perl
PHP
Python

C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic

Server-side scripts

Stored procedures

yes

PL/SQL

also stored procedures in Java possible

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding, horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication with 3 replicas for regional instances.

Source-replica replication

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

using Google Cloud Dataflow

can be realized in PL/SQL

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

yes

Transaction concepts

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

ACID

Strict serializable isolation

ACID

isolation level can be parameterized

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.

yes

Version 12c introduced the new option 'Oracle Database In-Memory'

User concepts

Access control

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

fine grained access rights according to SQL-standard

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More resources

DB-Engines blog posts

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1 May 2025, DB-Engines

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The struggle for the hegemony in Oracle's database empire
2 May 2017, Paul Andlinger

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Recent citations in the news

Google Cloud Introduces HDD Tier for Spanner Database, Cutting Cold Storage Costs by 80%
22 March 2025, infoq.com

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

Google Cloud Spanner gets dual-region configuration option
23 July 2024, InfoWorld

Google Cloud adds graph and vector search features to Spanner database
2 August 2024, techzine.eu

Google Releases Spanner Graph into General Availability
19 February 2025, infoq.com

provided by Google News

SAP Content Server High Availability using Amazon EFS and SUSE
30 December 2020, Amazon Web Services (AWS)

Alibaba Cloud Offers Access to SAP Software for Customers
5 June 2018, Alizila

How Doehler and Goodyear Laid the Foundation for Their Intelligent Enterprise by Moving to SAP S/4HANA
19 February 2020, SAP News Center

Google Cloud adds backup vaults and centralized management
10 September 2024, Blocks and Files

SAP revamps its main Business Suite to run on in-memory HANA
4 February 2015, SiliconANGLE

provided by Google News

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1 May 2025, Oracle

Oracle looks to open up data access in the era of AI
10 May 2025, SiliconANGLE

Oracle and Google Cloud Announce Industry-First Partner Program and Powerful New Capabilities for Oracle Database@Google Cloud
9 April 2025, Oracle

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20 March 2025, Oracle

Oracle and Google Cloud Expand Regional Availability and Add Powerful New Capabilities to Oracle Database@Google Cloud
30 January 2025, Oracle

provided by Google News

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