Google Cloud Platform vs. IBM Cloud Object Storage vs. Netlify Platform

When most of our stuff is in Google Cloud Platform, it works great to integrate and cross/share data that is all in Google Cloud Platform or BigQuery. It has simplified things from a permissions perspective as well. I'd say it is less appropriate when trying to test something quickly locally, or when half your stuff is in AWS or another provider.

Incentivized

In my experience, IBM Cloud Object Storage is well suited for projects like the one I am working on. This includes the use of natural language classification and the uploading of data to train a machine learning model for tag suggestions based on a body of text. Using IBM Cloud Object Storage has helped with this greatly. IBM Cloud Object Storage has also been great for Big Data Analytics thanks to its scalablilty and ease of use for large datasets. Alongside IBM Watson and our team's internal big data tools we've managed to process and analyze data more efficiently, leading to key insights that have driven business value for our clients.

Netlify is a static website host, so it obviously wouldn't work for hosting dynamic websites built in PHP, such as WordPress or Drupal. It works very well with static sites with a git codebase on something like GitHub. It has automatic deployments, which include preview websites. It works very well with this workflow. There are solutions for allowing content authoring on static websites on Netlify, but I would probably reach for something like WordPress or Drupal for that.

Incentivized

• Easy to set up
• Affordable use of the tool
• Easy to access billing
• Reliable service

Incentivized

• IBM Cloud Object Storage is an excellent choice for disaster recovery and backup solutions. Its high durability and geographic redundancy ensure that our backup data is safe and can be quickly restored in case of a disaster. This capability is crucial for maintaining our business continuity and minimizing downtime. We have deployed our loads in an IKS cluster distributed in 3 different AZs with stateful data allocated in COS.
• We have a video streaming application and need to store and deliver a vast library of video content to millions of users worldwide, so we store our data in COS, which is cheap and reliable.
• We have a bunch of data that must be analyzed and stored in datasets for fraud detection, risk management, and customer insights. In these cases, this data is moved from Onprem to IBM Cloud so we can use cheap storage like COS.

Incentivized

• I can connect Github/Gitlab repos or drag and drop code folders directly to host them onto the platform, and can customize build and publish details. It handles all granular details itself, so I don't have to worry about configuring everything like I would have to do on an IaaS like AWS
• Netlify Platform has inbuilt scalability support - meaning automatic upgrading of servers to handle traffic, without us needing to do anything at all, again, unlike IaaS, where we'd have to manually configure scaling
• It has a built in CDN, meaning static applications can be served blazing fast over the web without worrying about traffic or latency

Incentivized

• The UI is so confusing. The console is good, but it is like a maze. There are too many menus and settings, and things do not work as expected. It takes time to get friendly, and it is not friendly for new users.
• Support experience: Sometimes, you get a great engineer, but other times, it's very difficult to talk with them as they are unable to respond as expected and solve issues late.
• Region and zone are issues, as not all services are available in all regions, which is lacking when deploying something in the same region or zone.

Incentivized

• Searching and retrieving—full-text search or metadata search—is one of the significant areas of improvement. It isn't easy to search for data with this.
• Integration with other IBM cloud services is trickier. For example, integrating this with API Connect to access the data from API will be difficult for users.
• Support - I think you should have more support community.

Incentivized

• it is not aimed at it but first party laravel support would be nice.
• their free tier was so handy, i wish they start some similar efforts
• incorporate more WebOps mindset

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because it is a robust, safe and flexible product

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The Google Cloud Platform console is pretty slick for BigQuery especially. I have liked the visibility I get from using that and the way to integrate and see what's in our data lake. The logging console for tracking GKE jobs isn't quite as great, which is why it doesn't get a full 10.

Incentivized

For my use cases, it has been a very smooth experience. Even my new colleagues have been able to get on top of things very quickly. This shows how easy it is to work with

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We interact with the CLI via our CI/CD pipeline. It was very straightforward to get set up, and their documentation is thorough. There are a ton of examples online of various setups. We needed to deploy a React SPA, so we required redirects, which was straightforward with Netlify.

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We rarely face downtime or access issues with IBM Cloud Object Storage. It’s mostly available when we need it, even during peak hours or heavy data loads.

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I would give it a 9 because it works smooth with our AI and analytics tools, no major slowdown. Pages and dashboards load fine most of the time, and reports finish in decent time even when data is heavy.

Incentivized

I have been working in IT sector for more than 15 years. I have worked with various vendors. IBM's sales team, support team have been really helpful. After we start to use their product, their UX design team also contacted us to get feedback from us. They are really interested about our experience.

Incentivized

I just researching and applying the tools on their platforms to ensure a good learning path, based on my needs. Reading the documentation related with resources, tools. Is too big, but I am trying to know more about it every day. It is a good way to know more about their resources. A new way to attract new customers. At the end of the day, we are all involved in improvement and automation of our tasks and resources for customers and end-users.

Incentivized

Yes Our organization used IBM professional services to implement IBM object storage because of its data consistency and multiple way to upload and download data and its encryption security features. Also that its brand matter for the any organization to secure the layer and storage. It sis also verify that application and system are compatibale for this product

Incentivized

Google Cloud Platform is release later than Amazon web service, I think that why Google Cloud Platform can learned and optimized the Dashboard and some features that make it easy to use and can be cheaper than amazon web service.

Amazon S3 is a great service to safely back up your data where redundancy is guaranteed, and the cost is fair. In the past I have used Amazon S3 for data that we backup and hope we never need to access, but in the case of a catastrophic or even small slip of the finger with the delete command, we know our data and our client's data is safely backed up by Amazon S3. Amazon S3 service is a good option, but based on the features it provides compared with IBM Cloud Object Storage, it is less suitable. IBM Cloud Object Storage is also integrated with more services, like IBM Cloud SQL and IBM Aspera, which AWS does not provide to transfer files at maximum speed in the world.

Incentivized

Netlify Platform is the first choice that we are using in this organization continuously and it's been a very promising platform to use. It also maintains the things very well. it also giving a very good updates. It is very easy to use and very easy to learn. overall it is good.

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Scaling up the number of users can lead to significant increases in licensing costs, which, while not a technical limitation, can be a practical constraint for some organizations

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• It allows us to focus our efforts on other, more important items at hand
• It gives us an affordable option letting me know it's available to all users, not just the largest scale ones out there
• The customer service is always helpful and reliable, along with the service itself which lets me focus on my work instead of worrying about the service.

Incentivized

• This allows us to recommend a platform to our clients that will quickly help them create new, efficient business processes with very little development.
• This saves clients hours and days of manual analysis of images, allowing the system to do the work when attaching Object Storage to models.
• There is a learning curve in utilizing the storage and the modeling, but once up and running, it works well during deployment.

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• it's free to get started and to work on small frontend projects for testing and qa
• very nice DNS Management
• quick and easy to use, reduces dev efforts

Incentivized