DBMS > Google Cloud Spanner vs. Newts vs. SAP Advantage Database Server vs. TDSQL for MySQL

System Properties Comparison Google Cloud Spanner vs. Newts vs. SAP Advantage Database Server vs. TDSQL for MySQL

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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.

Time Series DBMS based on Cassandra

Low-cost RDBMS with access to ISAM and FoxPro data structures

A high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.

Primary database model

Relational DBMS

Time Series DBMS

Relational DBMS

Secondary database models

Document store
Spatial DBMS

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

Score	3.73
Rank	#90	Overall
	#47	Relational DBMS

Score	0.00
Rank	#363	Overall
	#34	Time Series DBMS

Score	3.66
Rank	#91	Overall
	#48	Relational DBMS

Score	0.51
Rank	#238	Overall
	#114	Relational DBMS

Website

cloud.google.com/spanner

opennms.github.io/newts

www.sap.com/products/advantage-database-server.html

intl.cloud.tencent.com/product/dcdb

Technical documentation

cloud.google.com/spanner/docs

github.com/OpenNMS/newts/wiki

intl.cloud.tencent.com/product/dcdb#m_developer

Developer

Google

OpenNMS Group

Sybase, SAP

Tencent

Initial release

2017

2014

1993

2013

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

commercial

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

Java

Server operating systems

hosted

Linux
OS X
Windows

Linux
Windows

hosted

Data scheme

yes

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

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

HTTP REST
Java API

.NET Client API
ADO.NET
JDBC
ODBC
OLE DB

JDBC
ODBC

Supported programming languages

Go
Java
JavaScript (Node.js)
Python

Java

Delphi
Perl
PHP

C
C#
C++
Java
PHP
Python
Ruby

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

based on Cassandra

none

Automatic sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication with 3 replicas for regional instances.

selectable replication factor

based on Cassandra

Multi-source replication

CONFLICT Trigger to resolve replication conflicts
Source-replica replication

Multi-source replication
Source-replica replication

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

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

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.

caching of (temporary) tables can be configured

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

Users with fine-grained authorization concept

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More resources

Recent citations in the news

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 expands Cloud Spanner database with PostgreSQL
12 October 2021, TechTarget

Yugabyte adds Voyager migration service to its 2.15 database update
28 June 2022, InfoWorld

provided by Google News

Tencent Cloud Distributed Database Ranks First in the Growth Index: Frost & Sullivan's "2021 China Distributed Database Market Report"
16 May 2022, Yahoo Finance

Tencent Cloud unveils new data centre in Jakarta
12 April 2021, Channel Asia Singapore

Tencent Cloud steps up commitment in Indonesia following launch of first IDC - The Jakarta Post
11 September 2021, The Jakarta Post

provided by Google News

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