Hassle free Big data infrastructure setup. It's a dream come true.
Devendra Parhate profile photo
November 19, 2019

Hassle free Big data infrastructure setup. It's a dream come true.

Score 9 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with Amazon Web Services

Being part of RND team, we do data analytics at PetaByte scale. Amazon Web Services helped us to efficiently orchestrate pipeline and perform data analytics on EMR and Sage notebook. Using Cloudformation and Step functions, we can deploy the pipeline in production reliably without worrying about infrastructure. Also, Amazon Web Services support team was accommodating while setting up initial infrastructure and troubleshooting any EMR or Spark related issues.
  • Cloudformation to bring up infrastructure.
  • Using triggers like S3 file creation to invoke lambda automatically.
  • EMR service allows the use of Big data tools seamlessly.
  • Amazon Web Services team support for debugging cluster related issues.
  • Handling Cloudformation stack deletion gracefully while the EMR Cluster is scaling.
  • Providing free access to Amazon Web Services to graduate students.
  • Educating users using blogs like https://aws.amazon.com/blogs/big-data/best-practices-for-successfully-managing-memory-for-apache-spark-applications-on-amazon-emr/.
  • Able to spin up spot instances at a cheap rate resulting in cost reduction.
  • HIPAA compliance.
  • Security provided using IAM roles and policies with storage encryption, and KMS provides an easy mechanism to store data securely.
Using CI/CD and Cloudformation provides a better way to bring up infrastructure. Triggers like S3 file creation to automatically invoke lambda are missing in other cloud vendors. EMR service allows us to use Big data tools seamlessly. Amazon Web Services team support for debugging cluster related issues is excellent comparatively.


Amazon Web Services supported multiple times during initial infrastructure setup and helped to fix cluster related issues many times. Cloudformation to bring up infrastructure. Triggers like S3 file creation to automatically invoke lambda can automate big data jobs and makes operation on Big data easy.

Do you think Amazon Web Services delivers good value for the price?

Yes

Are you happy with Amazon Web Services's feature set?

Yes

Did Amazon Web Services live up to sales and marketing promises?

Yes

Did implementation of Amazon Web Services go as expected?

Yes

Would you buy Amazon Web Services again?

Yes

Easily manageable, compatible big-data tools, and cluster scaling operation by providing EMR service.

Amazon Web Services Feature Ratings

Service-level Agreement (SLA) uptime
8
Dynamic scaling
7
Elastic load balancing
8
Pre-configured templates
10
Monitoring tools
10
Pre-defined machine images
7
Operating system support
9
Security controls
10