Tech Lead - Sanlam Fintech Cluster - Data,ML,AI Eng. at Sanlam
Real User
Top 10
2024-02-27T10:15:55Z
Feb 27, 2024
The pricing is comparable. It is not very cheap. I rate the pricing an eight out of ten. The main reason why we're using it is because of its cost. We are aiming at keeping the costs at $100 per month.
Data specialist at a mining and metals company with 11-50 employees
Real User
Top 10
2024-01-22T15:56:55Z
Jan 22, 2024
There is room for improvement in the pricing. The pricing could be better, especially for querying. The per-query model feels expensive. It would be better to have tiered pricing based on query sets or usage. Some services definitely need pricing adjustments.
Amazon SageMaker is a very expensive product. There is a need to make monthly payments towards the licensing cost attached to the solution. Even though I had initially used Amazon SageMaker's free trial version, Amazon charged me 130 USD for two to three days of usage. There are no extra charges to be paid apart from the resources that users use.
Creating notebook instances for multiple users is pretty expensive in Amazon SageMaker, but its storage is cheap. On a scale from one to ten, where one is cheap, and ten is expensive, I rate the solution's pricing a six out of ten.
I rate the pricing a five on a scale of one to ten, where one is the lowest price, and ten is the highest price. The solution is priced reasonably. There is no additional cost to be paid in excess of the standard licensing fees.
Data Scientist at a tech vendor with 10,001+ employees
Real User
2019-12-16T08:14:00Z
Dec 16, 2019
The pricing is complicated as it is based on what kind of machines you are using, the type of storage, and the kind of computation. It is already decided, but if you want to have a look at how it is broken down or how they are calculating it, then they provide a tool where you can go and specify your options. These include what you want, how much storage, the RAM, and whether you want GPU support. You can include everything and then you can get the estimated cost. AWS is an additional cost.
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.
The pricing is comparable. It is not very cheap. I rate the pricing an eight out of ten. The main reason why we're using it is because of its cost. We are aiming at keeping the costs at $100 per month.
There is room for improvement in the pricing. The pricing could be better, especially for querying. The per-query model feels expensive. It would be better to have tiered pricing based on query sets or usage. Some services definitely need pricing adjustments.
Amazon SageMaker is a very expensive product. There is a need to make monthly payments towards the licensing cost attached to the solution. Even though I had initially used Amazon SageMaker's free trial version, Amazon charged me 130 USD for two to three days of usage. There are no extra charges to be paid apart from the resources that users use.
You don't pay for Sagemaker. You only pay for the compute instances in your storage. SageMaker is free.
Creating notebook instances for multiple users is pretty expensive in Amazon SageMaker, but its storage is cheap. On a scale from one to ten, where one is cheap, and ten is expensive, I rate the solution's pricing a six out of ten.
I rate the pricing a five on a scale of one to ten, where one is the lowest price, and ten is the highest price. The solution is priced reasonably. There is no additional cost to be paid in excess of the standard licensing fees.
There is no license required for the solution since you can use it on demand.
I would rate the solution's price a ten out of ten since it is very high.
Databricks solution is less costly than Amazon SageMaker.
SageMaker is worth the money for our use case.
The pricing for the Notebook endpoints is a bit high, but generally reasonable.
The business support costs 10% of the Amazon utility spend
The pricing is complicated as it is based on what kind of machines you are using, the type of storage, and the kind of computation. It is already decided, but if you want to have a look at how it is broken down or how they are calculating it, then they provide a tool where you can go and specify your options. These include what you want, how much storage, the RAM, and whether you want GPU support. You can include everything and then you can get the estimated cost. AWS is an additional cost.