10+ Amazon Aurora Alternatives and Competitors
Amazon SageMaker
Amazon SageMaker is a machine learning featured service by Amazon Web Services (AWS). The company began offering cloud computing services in 2006 and is now at the forefront of the web services industry. It boasts 175 featured services catering to a global clientele to businesses ranging from startups to huge brands that rely on their technology to optimize their operations.
Alternatives
| Logo | Name Sort | Rating Sort | CEO | Pricing Sort | Founded Sort | Revenue Sort | Employees Sort | Location Sort | Reviews Sort | Customers Sort |
|---|---|---|---|---|---|---|---|---|---|---|
 | IBM Watson | Thomas J. Watson | N/A | 2014 | $5.7 B | 6,500+ | New York | 1757+ Reviews | 26.7K + | |
 | Google AI | Sundar Pichai | N/A | 2017 | N/A | 1,000+ | Mountain View | 1654+ Reviews | 13K + | |
 | Microsoft Azure AI | Satya Nadella | $931 | 2010 | N/A | 5,000+ | Colorado | 3500+ Reviews | 229.1K + | |
 | Infosys NIA | Atul Soneja | N/A | 1981 | $210.2 M | 2,800+ | Bangalore | 4000+ Reviews | 1B + | |
 | Salesforce Einstein | Bob Stutz | $25 | 1999 | $57.2 M | 49,000+ | San Francisco | 3790+ Reviews | N/A | |
 | CVViZ | Amit Gawande | $29 | 2016 | N/A | 50+ | Mumbai | 3450+ Reviews | N/A | |
| Amazon SageMaker | Andy Jassy | $0.10 | 1994 | N/A | 10,000+ | Seattle | 3000+ Reviews | 250K + | |
 | TensorFlow | Topher White | N/A | 2015 | $5 M | 35+ | San Francisco | 3400+ Reviews | N/A | |
 | Wipro HOLMES | Rohit Adlakha | N/A | 2016 | $50 M | 30,000+ | Bangalore | 4500+ Reviews | N/A | |
 | Rainbird | Anthony LaFetra | N/A | 1933 | $620 M | 1,656+ | Azusa | 2300+ Reviews | N/A |
Contact Info
Pricing
Key Employees
| Image | Name | Designation | |
|---|---|---|---|
 | Frank Boosman | Business developer | https://www.linkedin.com/in/fboosman |
 | Don Drake | Sr. Solutions Architect | https://www.linkedin.com/in/don-drake-3631 |
 | John Combs | Business Operations | https://www.linkedin.com/in/johnmcombs |
Reviews
“ User Friendly Product ”
- Provided an instance of Jupyter notebook for development script, which made it very easy to manage and develop any script.
- Our system is cloud-based, and we are charged only for what we use and how long we use it.
- It’s very good for the hardcore programmer, but a little bit complex for a data scientist or new hire who does not have a strong programming background.
- Most of the popular library and ML frameworks are there, but we still have to depend on them for new releases.
“ Tool for taging every content ”
- We can choose multiple servers for Training, without any headache of distribution.
- Most of the libraries are supported.
- Amazon SageMaker is a great tool for a data scientist, although surprisingly, comparing different machine learning models with SageMaker is not as easy as one would think.
- I think Amazon needs to team up with a data scientist who does ensemble modeling.
“ Easy to use ”
- SageMaker is good at serving models. The interface it provides is often clunky, but a managed, auto-scaling model server is powerful.
- SageMaker is opinionated about versioning machine learning models and useful if you agree with its opinions.
- SageMaker does not allow you to schedule training jobs.
- SageMaker does not provide a mechanism for easily tracking metrics logged during training.
Features
- Access Control
- Analytics
- API
- Accounting Intergration
- Agile Software Development
- Assessment Management
- Assignment Management
- Business Intelligence
- CRM Integration
- Campaign Analysis
- Campaign Management
- Collaboration Tools
- Collaborative Workspace
- Customer Support
- Customization
Images & Videos
Q & A
Amazon SageMaker charges you according to what resources you use for notebook hosting, training predicting, and output logging, and how long you’re going to use it. The pricing also depends on your location. For instance, the Amazon SageMaker Studio notebooks are used with ml.t3.medium instances. Each hour for the mentioned instance costs $0.069 in the US West region. You’ll be billed for how long you’re going to utilize the resource along with other things you’re going to use.
No, you’re not going to pay for the Amazon SageMaker Studio. You’ll only be charged according to the services you use within the interface.
AWS accepts major credit and debit cards, ACH direct debit (for qualified American customers), and SEPA direct debit (for qualified European customers.)