DBMS > Google Cloud Spanner vs. Trafodion

System Properties Comparison Google Cloud Spanner vs. Trafodion

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Our visitors often compare Google Cloud Spanner and Trafodion with Microsoft SQL Server, TimescaleDB and GraphDB.

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.

Transactional SQL-on-Hadoop DBMS

Primary database model

Relational DBMS

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

Score	3.68
Rank	#92	Overall
	#48	Relational DBMS

Score	0.43
Rank	#252	Overall
	#119	Relational DBMS

Website

cloud.google.com/spanner

trafodion.apache.org

Technical documentation

cloud.google.com/spanner/docs

trafodion.apache.org

Developer

Google

Apache Software Foundation, originally developed by HP

Initial release

2017

2014

Current release

2.3.0, February 2019

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

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++, Java

Server operating systems

hosted

Linux

Data scheme

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

yes

SQL

Support of SQL

yes

Query statements complying to ANSI 2011

yes

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

Supported programming languages

Go
Java
JavaScript (Node.js)
Python

All languages supporting JDBC/ODBC/ADO.Net

Server-side scripts

Stored procedures

Java Stored Procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication with 3 replicas for regional instances.

yes, via HBase

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

using Google Cloud Dataflow

yes

via user defined functions and HBase

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

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

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

Recent citations in the news

Google Cloud Launches New Postgres-Compatible Database, AlloyDB
11 May 2022, Datanami

Google Cloud Spanner Gets Change Streams
6 April 2022, Datanami

Cloud Spanner Introduces Committed Use Discounts
19 March 2022, InfoQ.com

Database in the cloud: All about Google Cloud Spanner
29 October 2021, TechGenix

Google Opens Up Spanner Database With PostgreSQL Interface
13 October 2021, The Next Platform

provided by Google News

The Apache® Software Foundation Announces Annual Report for 2021 Fiscal Year
31 August 2021, GlobeNewswire

provided by Google News

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