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.
IBM Spectrum Scale creates excellent and real time data results and the capability to extract data and data modeling tools via IBM Spectrum Scale is amazing. The capacity planning and data archiving and the data security offered by IBM Spectrum Scale is more productive and the data quality control using the system is impressive.
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.
When we implemented the Spectrum Scale solution, we had in place a NetApp FAS series working in Metro Cluster mode. What is great about NetApp is its low maintenance. On the other hand, it lacks performance, especially on the CPU nodes. We needed a solution that will deliver steady performance while keeping a steady growth.
