Codetown
Codetown ::: a software developer's community
What's the difference between Grid computing and Cloud Computing
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: 247
Replies to This Discussion
-
Permalink Reply by Thomas Michaud on
-
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.
-
-
Permalink Reply by Hervé-greg MOKWABO on
-
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?
-
-
Permalink Reply by Bradlee Sargent on
-
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?
-
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.
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.
InfoQ Reading List
Scaling Human Judgment: How Dropbox Uses LLMs to Improve Labeling for RAG Systems
To improve the relevance of responses produced by Dropbox Dash, Dropbox engineers began using LLMs to augment human labelling, which plays a crucial role in identifying the documents that should be used to generate the responses. Their approach offers useful insights for any system built on retrieval-augmented generation (RAG).
By Sergio De SimoneAWS Introduces Nested Virtualization on EC2 Instances
AWS recently announced support for nested virtual machines within virtualized EC2 instances running KVM or Hyper-V. A long-awaited feature by the community, the new option enables use cases such as app emulation and hardware simulation on supported C8i, M8i, and R8i instances.
By Renato LosioStandardizing Post-Quantum IPsec: Cloudflare Adopts Hybrid ML-KEM to Replace Ciphersuite Bloat
Cloudflare has extended hybrid post-quantum encryption to IPsec and WAN traffic, standardizing its SASE stack ahead of the NIST 2030 deadline. By adopting a streamlined ML-KEM key exchange, the move addresses long-standing "ciphersuite bloat" in quantum-resistant IPsec. The update aims to neutralize "harvest now, decrypt later" threats without requiring specialized hardware upgrades.
By Steef-Jan WiggersNew Research Reassesses the Value of AGENTS.md Files for AI Coding
Despite widespread industry recommendations, a new ETH Zurich paper concludes that AGENTS.md files may often hinder AI coding agents. The researchers recommend omitting LLM-generated context files entirely and limiting human-written instructions to non-inferable details, such as highly specific tooling or custom build commands.
By Bruno CouriolArchitecting for Global Scale: Inside DoorDash’s Unified, Composable Dasher Onboarding Platform
DoorDash has rebuilt its Dasher onboarding into a unified, modular platform to support global expansion. The new architecture uses reusable step modules, a centralized status map, and workflow orchestration to ensure consistent, localized onboarding experiences. This design reduces complexity, supports market-specific variations, and enables faster rollout to new countries.
By Leela Kumili
© 2026 Created by Michael Levin.
Powered by
