DB-EnginesExtremeDB: the mission critical dbmsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Cubrid vs. Google Cloud Spanner vs. NCache

System Properties Comparison Cubrid vs. Google Cloud Spanner vs. NCache

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonNCache  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPA 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.Open-Source and Enterprise in-memory Key-Value Store
Primary database modelRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#168  Overall
#82  Relational DBMS
Score4.38
Rank#92  Overall
#46  Relational DBMS
Score1.35
Rank#183  Overall
#31  Key-value stores
Websitecubrid.com (korean)
cubrid.org (english)
cloud.google.com/­spannerwww.alachisoft.com/­ncache
Technical documentationcubrid.org/­manualscloud.google.com/­spanner/­docswww.alachisoft.com/­resources/­docs
DeveloperCUBRID Corporation, CUBRID FoundationGoogleAlachisoft
Initial release200820172005
Current release11.0, January 20215.2, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoEnterprise Edition available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
NCache Cloud: NCache Cloud is available in Azure and AWS Marketplaces as a Service. This means you can now obtain it instantaneously with a few mouse clicks, and seamlessly scale your cache deployment without any down time.
Implementation languageC, C++, JavaC#, .NET, .NET Core, Java
Server operating systemsLinux
Windows
hostedLinux
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counter
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyes infoQuery statements complying to ANSI 2011SQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
IDistributedCache
JCache
LINQ
Proprietary native API
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Visual Basic.NET
Server-side scripts infoStored proceduresJava Stored Proceduresnono infosupport for stored procedures with SQL-Server CLR
Triggersyesnoyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication with 3 replicas for regional instances.yes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integrityyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationoptimistic locking and pessimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Authentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
CubridGoogle Cloud SpannerNCache
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

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
CubridGoogle Cloud SpannerNCache
Recent citations in the news

Google Cloud and Deloitte Boost Grocery Associate Productivity and ...
20 January 2023, PR Newswire

Kroger upgrades to cloud-based IT architecture for retail operations
24 January 2023, Winsight Grocery Business

Kroger boosts associate productivity with Google Cloud, Deloitte ...
20 January 2023, Drug Store News

Database Futures with a Cockroach Labs Co-Founder
27 January 2023, Datanami

Google Cloud Spanner Introduces Free Trial Instances and Fine ...
24 September 2022, InfoQ.com

provided by Google News

How to use NCache in ASP.Net Core
25 February 2019, InfoWorld

Velocity: Microsoft's Distributed In-Memory Cache
4 June 2008, InfoQ.com

Distributed Caching and Scalability
17 August 2015, learn.microsoft.com

provided by Google News

Job opportunities

Cloud Relational Database Engineer
Ford Motor Company, Dearborn, MI

Contractor - DevOps Engineer
ChaiOne, Remote

Senior Product Manager, Core Database
YugabyteDB, Remote

Database Engineer
Miracle Software Systems, Michigan

Public Cloud Services Engineer
Citi, New York, NY

Client Services Engineer
Diyatech Corp., Dallas, TX

Digital Marketing Operations Manager
Alachisoft, Dallas, TX

Inside Sales & Biz Dev (Enterprise Software)
Diyatech Corp., Dallas, TX

Digital Marketing Operations Manager (Software Export House)
Diyatech Corp., Dallas, TX

Technical Writer
Diyatech Corp., Dallas, TX

jobs by Indeed



Share this page

Featured Products

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 80GB free.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Redis logo

The world’s most loved real‑time data platform.
Try free

Present your product here