FreeStor vs. IBM Elastic Storage Server

1. Perfect solution for geographically separated teams to work on sharing files/media. 2. Mainly suitable for CCTV/video recordings as the network speed and disk throughput is mammoth 3. Suites well for organizations looking for their own private cloud object storage solutions 4. primarily focused on hosting next-generation of applications centric to AI/IOT and ML.

• Very High Availability and Scalability
• Works particularly well for AI and Big Data usecases
• Easily unifies all sorts and types of Data

Incentivized

• The maintenance procedure is not straight forward, needs lots of steps/dependency on spectrum scale software
• Should have an option to deliver as an bundled components under IBM, instead of individual components from different vendors

IBM ESS is optimized for AI and Big Data usecases while S3 is a general purpose storage solutions. EMR and Databricks have lakehouse/data warehousing solutions for distributed computing but are more optimized for just the big data pipelining solutions and not essentially for AI usecases, especially for inference, when you need to load model artifacts really quickly.

Incentivized

• On demand scalability helped us in better projection of storage requirement
• With reduced human resource for operation and maintenance of storage, ROI has been increased a lot.
• High performance of Big Data applications using IBM Elastic Storage Server has improved the business.

Incentivized