Amazon Cognito is a mobile identity product that allows users to add user sign-up and sign-in to mobile and web apps, and authenticate users through social identity providers.
$0.01
Per MAU
Amazon Elastic Compute Cloud (EC2)
Score 8.8 out of 10
N/A
Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure, resizable compute capacity in the cloud. Users can launch instances with a variety of OSs, load them with custom application environments, manage network access permissions, and run images on multiple systems.
$0.01
per IP address with a running instance per hour on a pro rata basis
IBM Cloud Object Storage
Score 9.3 out of 10
N/A
IBM Cloud Object Storage is an IBM Cloud product in the endpoint backup and IaaS categories. It is commonly used for data archiving and backup, for web and mobile applications, and as scalable, persistent storage for analytics.
$0
per month
Pricing
Amazon Cognito
Amazon Elastic Compute Cloud (EC2)
IBM Cloud Object Storage
Editions & Modules
Starting Price
$0.01
Per MAU
Data Transfer
$0.00 - $0.09
per GB
On-Demand
$0.0042 - $6.528
per Hour
EBS-Optimized Instances
$0.005
per IP address with a running instance per hour on a pro rata basis
Carrier IP Addresses
$0.005 - $0.10
T4g Instances
$0.04
per vCPU-Hour Linux, RHEL, & SLES
T2, T3 Instances
$0.05 ($0.096)
per vCPU-Hour Linux, RHEL, & SLES (Windows)
One-Rate Plan
As low as USD $12/TB a month
per month
Standard Plan
Free up to 5GB—no minimum fee, pay only for what you use
per month
Offerings
Pricing Offerings
Amazon Cognito
Amazon Elastic Compute Cloud (EC2)
IBM Cloud Object Storage
Free Trial
No
No
No
Free/Freemium Version
No
No
Yes
Premium Consulting/Integration Services
No
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Optional
Additional Details
—
—
The One-Rate and Standard service plans for Cloud Object Storage include resiliency options, flexible data classes and built-in security. Pricing is based on the choice of location, storage class and resiliency choice.
More Pricing Information
Community Pulse
Amazon Cognito
Amazon Elastic Compute Cloud (EC2)
IBM Cloud Object Storage
Considered Multiple Products
Amazon Cognito
Verified User
Engineer
Chose Amazon Cognito
Amazon Cognito is a better-known service with extensive documentation and a large community. IBM App ID is more limited and simpler as a service, but it allows for easier and better password policy customization than Amazon Cognito.
EC2 is a much more advantageous compared with the competitors because it has a much better console, configuration, auto-scalability, uptime, and many other features that are way better than other services I have seen so far. It also provides great backup services integrated …
We chose EC2 over Azure because our tech stack was already invested in AWS. Documentation is better, and there is more community support for AWS services. EC2 is the pioneer in virtualization and we wanted to go with the stability of AWS. As far as pricing goes, EC2 can be …
Amazon S3 service is also a good option, but based on 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 …
Well for my self, the IBM Cloud Object Storage is required for the Coursera course and fee to use without credit card information, therefore, it is a no brainer for me to use as an individual. The IBM Cloud Object Storage has all cloud computing services that the major …
Above listed do not provide free trial at all. IBM provided me with free lite plan so we can try it first for free. And I think this is the best thing about IBM.
Suitable for companies that are looking for performance at a competitive price, flexibility to switch instance type even with RI, flexibility to add-on IOPS, option to lower running cost with the regular introduction of new instance type that comes with higher performance but at a lower cost.
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.
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.
Amazon Cognito has a bit of a learning curve. You need to learn its concepts and terminology. The documentation does not describe some topics comprehensively.
Some Console screens would benefit from improved search and filtering options.
When another AWS product (e.g., SageMaker) configures Cognito on your behalf, it is not clear what you're getting. For example, the expiration of a temporary password was configured but never communicated.
The choices on AMIs, instance types and additional configuration can be overwhelming for any non-DevOps person.
The pricing information should be more clear (than only providing the hourly cost) when launching the instance. AWS DynamoDB gives an estimated monthly cost when creating tables, and I would love to see similar cost estimation showing on EC2 instances individually, as not all developers gets access to the actual bills.
The term for reserving instances are at least 12 months. With instance types changing so fast and better instances coming out every other day, it's really hard to commit to an existing instance type for 1 or more years at a time.
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.
Amazon Cognito is easy to use and implement if you don't need to implement custom policies. But if your security team requires something outside the box, then implementation becomes complicated and you risk wasting time. There is no option for customizable regex for passwords, which is a major deficiency. The standard password policy, allow to choose the length of the password, if it should contains at least one number, one special character, one uppercase letter and one lowercase letter.
You an start using EC2 instances immediately, is so easy and intuitive to start using them, EC2 has wizard to create the EC2 instances in the web browser or if you are code savvy you can create them with simple line in the CLI or using an SDK. Once you are comfortable using EC2, you can even automate the process.
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
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.
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.
Community support is excellent, many times even better and quicker then the offical AWS support. I really cannot recommend community support enough! Apart from that the service is relativily easy to use and does not have a huge learning curve. Examples are easy to follow and will help you start using the service.
AWS's support is good overall. Not outstanding, but better than average. We have had very little reason to engage with AWS support but in our limited experience, the staff has been knowledgeable, timely and helpful. The only negative is actually initiating a service request can be a bit of a pain.
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.
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.
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
They are ideal tools to create a secure and unique login experience for our applications. Thanks to its API authorization, Amazon Cognito ensures connections to applications that are secure.It is easy to use and provides easy access to files and applications that you need to complete your goal.
Amazon EC2 is super flexible compared to the PaaS offerings like Heroku Platform and Google App Engine since with Amazon EC2, we have access to the terminal. In terms of pricing, it's basically just the same as Google Compute Engine. The deciding factor is Amazon EC2's native integration with other AWS services since they're all in the same cloud platform.
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.
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
It reduced the need for heavy on-premises instances. Also, it completely eliminates maintenance of the machine. Their SLA criteria are also matching business needs. Overall IAAS is the best option when information is not so crucial to post on the cloud.
It makes both horizontal and vertical scaling really easy. This keeps your infrastructure up and running even while you are increasing the capacity or facing more traffic. This leads to having better customer satisfaction.
If you do not choose your instance type suitable for your business, it may incur lots of extra costs.
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.
