I don't clearly catch the difference betwenn these two concept. Someone told me that the essential différence is that the cloud computing give you a large space of storage and the grig give more advantages than storage, we can profit to much power with this last.

 

Does any one know more clearly these two concept; and tell us?

Views: 228

Replies to This Discussion

I don't claim to be the expert, but the difference is (I think) in use.

 

Grid represents a scalable framework.  You write your algorithm and your code and use as much computing power as you wallet can afford.  (Useful as some work can be highly parallelizable) .

 

Cloud computing offers storage (true) but it's also represents the applications as well.  Ideally with cloud computing, you don't need to have certain applications on your desktop - as long as you can hit the cloud, you can get, update, and use your data.  

Thanks thomas;

What  I got :

 

Grid - much computing power and can be highly parallelizable

 

Cloud - Storage and dont need to have  certain applications on your desktop ( that's just like server application?)

 

Someone can tell us more?

I think if you look at the history, you will understand some difference.

In my own experience, the grid began with Oracle using it as a type of metadatabase, which would point to multiple databases residing on different but uniform hardware systems.  So if a company had multiple unix boxes and needed to increase the size of their database, instead of purchasing additional hardware they could implement the grid database and combine their multiple unix servers into one database resource.

 

Cloud is much more in terms of it offering not only a database, but also an entire server including the operating system.

The cloud exposes an operating system, whereas a grid exposes a database.

 

But I am no buzz word expert so I might be wrong.

I just talked to a buddy about this, essentially the Oracle Grid product is differant because it runs the DB in memory. So access times are a lot quicker. I don't think it is really a matter of Vs. so much as Grid computing is a way to handle db transactions in a faster way.

 

He said their grid servers had something like 72gbs of ram. Freaking crazy

Please Bradley, wha do you think about Jackie's reaction?

RSS

Happy 10th year, JCertif!

Notes

Welcome to Codetown!

Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
Continue

Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.

Looking for Jobs or Staff?

Check out the Codetown Jobs group.

 

Enjoy the site? Support Codetown with your donation.



InfoQ Reading List

AWS Introduces Fifth-Generation Graviton Processor with M9g Instances

AWS recently announced the new Graviton5 processor and the preview of the first EC2 instances running on it, the general-purpose M9g instances. According to the cloud provider, the latest chip delivers up to 25% higher performance than Graviton4, introduces the Nitro Isolation Engine, and provides a larger L3 cache, improving latency, memory bandwidth, and network throughput.

By Renato Losio

Microsoft Research Develops Novel Approaches to Enforce Privacy in AI Models

A team of AI researchers at Microsoft introduces two novel approaches for enforcing contextual integrity in large language models: PrivacyChecker, an open-source lightweight module that acts as a privacy shield during inference, and CI-CoT + CI-RL, an advanced training method designed to teach models to reason about privacy.

By Sergio De Simone

Swiggy Rolls Out Hermes V3: From Text-to-SQL to Conversational AI

Swiggy has released Hermes V3, a GenAI-powered text-to-SQL assistant that enables employees to query data in plain English. The Slack-native system combines vector retrieval, conversational memory, agentic orchestration, and explainability to improve SQL accuracy and support multi-turn analytical queries.

By Leela Kumili

Amazon S3 Vectors Reaches GA, Introducing "Storage-First" Architecture for RAG

AWS has announced the general availability of Amazon S3 Vectors, increasing per-index capacity forty-fold to 2 billion vectors. By natively integrating vector search into the S3 storage engine, the service introduces a "Storage-First" architecture that decouples compute from storage, reducing total cost of ownership by up to 90% for large-scale RAG workloads.

By Steef-Jan Wiggers

Presentation: From Confusion to Clarity: Advanced Observability Strategies for Media Workflows at Netflix

Naveen Mareddy and Sujana Sooreddy discuss the evolution of Netflix’s media processing observability, moving from monolithic tracing to a high-cardinality analytics platform. They explain how to handle "trace explosion" using stream processing and a "request-first" tree visualization, and share how to transform raw spans into actionable business intelligence.

By Sujana Sooreddy, Naveen Mareddy

© 2026   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service