IBM Elastic Storage Server (IBM ESS) is a software-defined storage option.
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Scality ARTESCA
Score 8.0 out of 10
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Scality in San Francisco offers scalable file and object storage for media, healthcare, cloud service providers, and others.
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IBM Elastic Storage Server
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IBM Elastic Storage Server
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IBM Elastic Storage Server
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Considered Both Products
IBM Elastic Storage Server
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Chose IBM Elastic Storage Server
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 …
We have used Cisco Cloud Object Storage earlier which is also a good object storage solution. COS has partnered with multiple vendors for object storage solutions and IBM storage solution is one of them. As far as the high performance of AI and Big Data applications is …
In reality, it did not become a substitute for AWS, since it allowed us to maintain a much more compact and rigid system by taking advantage of the support and evolutionary trend that Scality has and keeping AWS as a leader.
Due to the nature of our business we require extensive encryption and availability for sensitive customer data. The erasure encoding that Scality provides gives us the assurance that documents are rest are never in a state of being downloaded or available to a casual data …
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.
When high availability and keeping sensitive information safe are top priority Scality is a great option and has good features that make it ideal for these type of applications. For small companies with limited resources to administer extensive systems Scality would not be a good match. It takes people dedicated to this platform to keep it functioning at its best.
As an organization, it took us a while to understand the shift from a traditional black box SAN to software-defined storage, but now we are much more certain of what this means. The time invested and the resources were not very high, thanks on the one hand to the technical support and on the other to the coherence and good development of the platform.
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.
In reality, it did not become a substitute for AWS, since it allowed us to maintain a much more compact and rigid system by taking advantage of the support and evolutionary trend that Scality has and keeping AWS as a leader.