Machine learning capabilities are relatively common among the bigger all-flash providers but differ in what they offer. Here are a number to consider.
HPE Primera's all-flash platform incorporates HPE's InfoSight technology, which uses machine learning to predict and prevent potential issues. InfoSight also analyzes workload patterns and makes real-time recommendations to optimize performance and efficiency.
Another player is Dell EMC PowerStore which uses integrated machine learning to optimize performance, efficiency, and data placement. The platform uses intelligent data services to automatically tier data and optimize efficiency without requiring manual admin work.
IBM comes to the table with its FlashSystem 9100 and AI-based predictive storage analytics and storage resource management.
And you can also look at NetApp AFF A-Series which comes with what NetApp calls its AI-informed predictive analytics and corrective action.
Hello peers,
I work for a small tech services company.
I am currently researching All-Flash Storage solutions. Which All-Flash Storage solution do you prefer and why?
Thank you for your help.
If you want the best product and service, and your budget allows it, have a look at Pure Storage! This is the only product I have ever seen with no unhappy clients and no issues.
All-Flash Storage Arrays are important for companies because:
-They offer significantly faster data access and retrieval times compared to traditional storage systems.
-They provide high-performance storage capabilities, enabling companies to efficiently handle large workloads and process data-intensive applications.
-They have lower latency than traditional storage arrays, ensuring quick response times and improved user experience.
-They offer higher reliability and durability, reducing the risk of data loss or system failures.
-They require less physical space and power consumption, resulting in cost savings and improved energy efficiency.
-They support advanced data management features like deduplication, compression, and encryption, enhancing data security and reducing storage costs.
-They enable seamless scalability, allowing companies to expand their storage capacity as their data needs grow easily.
-They facilitate faster backups, replication, and disaster recovery processes, ensuring business continuity and minimizing downtime.
-They improve overall IT infrastructure performance, enabling companies to meet demanding business requirements and gain a competitive edge.
We’re launching an annual User’s Choice Award to showcase the most popular B2B enterprise technology products and we want your vote!
If there’s a technology solution that’s really impressed you, here’s an opportunity to recognize that. It’s easy: go to the PeerSpot voting site, complete the brief voter registration form, review the list of nominees and vote. Get your colleagues to vote, too!
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Machine learning capabilities are relatively common among the bigger all-flash providers but differ in what they offer. Here are a number to consider.
HPE Primera's all-flash platform incorporates HPE's InfoSight technology, which uses machine learning to predict and prevent potential issues. InfoSight also analyzes workload patterns and makes real-time recommendations to optimize performance and efficiency.
Another player is Dell EMC PowerStore which uses integrated machine learning to optimize performance, efficiency, and data placement. The platform uses intelligent data services to automatically tier data and optimize efficiency without requiring manual admin work.
IBM comes to the table with its FlashSystem 9100 and AI-based predictive storage analytics and storage resource management.
And you can also look at NetApp AFF A-Series which comes with what NetApp calls its AI-informed predictive analytics and corrective action.