IBM Cloud Object Storage vs. OVHcloud Public Cloud vs. Skytap

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.

For demo uploads or for production uploads of companies from different sectors looking for a "general computing" cloud solution, I think that OVH can be a good provider. However, for more delicate or advanced loads or for specific solutions of, for example, AI, OVH has a wide margin for improvement.

Incentivized

It is a shared environment from which multiple team can work on multiple versions for development or testing purpose. User jut have to share a link and other can start working on it. This is very useful when multiple team are working on different user simultaneously. It has a very simple interface

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.

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• Price
• Quality hardware
• Quality network
• Administrative tools
• Range of products

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• 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.

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• Technical support
• Account support
• Billing support

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because it is a robust, safe and flexible product

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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 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.

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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.

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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

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

Most notably OVHcloud [Public Cloud] has dedicated servers which are a different breed of product than Linode's flagship VPS servers, the unfortunate fact of the matter is that OVHcloud [Public Cloud] can provide a fully-dedicated server at a lower price point than Linode's virtual server. Even worse than that is that with a dedicated server from [OVHcloud Public Cloud] there is zero chance of "cpu theft" (aka, noisy neighbor) which is a very real problem at Linode (we would require multiple migrations every year for servers hosted at Linode that were experiencing cpu theft). In addition to the improvement in quality for network/hardware at OVHcloud [Public Cloud] with their dedicated server offering, their VPS servers are also highly competitive against Linode's VPS servers - in the 2 years we've used OVHcloud [Public Cloud] VPS's we've had zero downtime associated with OVH actions such as host-node reboots or cpu theft or host node upgrades, a stark difference compared to Linode which regularly experiences those types of downtimes and many more on a very regular basis.

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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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• 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.

Incentivized

• Cost of virtual servers was reduced by 20% versus other VPS/Cloud providers.
• Cost of dedicated servers was reduced by 50% versus other dedicated server providers.
• Network speeds decreased considerably versus other providers.
• Network quotas improved considerably versus other providers (unlimited at OVH).
• Uptime has improved considerably which has improved client reputation.

Incentivized