DBMS > Cubrid vs. Google Cloud Spanner vs. Sadas Engine

System Properties Comparison Cubrid vs. Google Cloud Spanner vs. Sadas Engine

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

CUBRID is an open-source SQL-based relational database management system with object extensions for OLTP

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.

SADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments

Primary database model

Relational DBMS

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

Score	1.36
Rank	#191	Overall
	#91	Relational DBMS

Score	3.62
Rank	#100	Overall
	#49	Relational DBMS

Score	0.00
Rank	#404	Overall
	#165	Relational DBMS

Website

cubrid.com (korean)
cubrid.org (english)

cloud.google.com/spanner

www.sadasengine.com

Technical documentation

cubrid.org/manuals

cloud.google.com/spanner/docs

www.sadasengine.com/en/sadas-engine-download-free-trial-and-documentation/#documentation

Developer

CUBRID Corporation, CUBRID Foundation

Google

SADAS s.r.l.

Initial release

2008

2017

2006

Current release

11.0, January 2021

8.0

License

Commercial or Open Source

Open Source

Apache Version 2.0

commercial

free trial version 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++, Java

C++

Server operating systems

Linux
Windows

hosted

AIX
Linux
Windows

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

ADO.NET
JDBC
ODBC
OLE DB

gRPC (using protocol buffers) API
JDBC

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

JDBC
ODBC
Proprietary protocol

Supported programming languages

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

Go
Java
JavaScript (Node.js)
Python

.Net
C
C#
C++
Groovy
Java
PHP
Python

Server-side scripts

Stored procedures

Java Stored Procedures

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

Multi-source replication with 3 replicas for regional instances.

none

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

yes

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.

yes

managed by 'Learn by Usage'

User concepts

Access control

fine grained access rights according to SQL-standard

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

Access rights for users, groups and roles according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

Google’s Cloud Spanner Data Boost is now generally available
29 August 2023, TechCrunch

Google Cloud Injected With Duet AI: 7 Huge New AI Features
29 August 2023, CRN

Duet AI Goes Everywhere in Google's Cloud
29 August 2023, Datanami

Duet AI, Google’s AI assistant suite, expands across Google Cloud
29 August 2023, TechCrunch

Google brings new AI to AlloyDB and database migration service
29 August 2023, VentureBeat

provided by Google News

Job opportunities

Senior Google Cloud Engineer/SME
Maestro Technologies Inc, Dallas, TX

Principal Engineer, Query Processing, Spanner, Google Cloud
Google, Kirkland, WA

Google Cloud Platform Data Engineer
Publicis Sapient, Chicago, IL

Google Cloud Platform Data Engineering Senior Manager
Publicis Sapient, Atlanta, GA

Senior Database Engineer
Qarik, Chicago, IL

jobs by

Share this page