IBM Elastic Storage Server vs. NetApp ONTAP Data Management Software

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM Elastic Storage Server
Score 8.3 out of 10
N/A
IBM Elastic Storage Server (IBM ESS) is a software-defined storage option.N/A
NetApp ONTAP Data Management Software
Score 8.8 out of 10
N/A
NetApp's ONTAP Data Management Software is a storage and data management and protection solution. ONTAP 9 allows users to build an intelligent hybrid cloud that is the foundation of a NetApp Data Fabric that spans flash, disk, and cloud. Flexibly deploy storage on a choice of architectures—hardware storage systems, software-defined storage (SDS), and the cloud—while unifying data management across all of them.N/A
Pricing
IBM Elastic Storage ServerNetApp ONTAP Data Management Software
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM Elastic Storage ServerNetApp ONTAP Data Management Software
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
IBM Elastic Storage ServerNetApp ONTAP Data Management Software
User Ratings
IBM Elastic Storage ServerNetApp ONTAP Data Management Software
Likelihood to Recommend
8.3
(0 ratings)
9.0
(0 ratings)
Support Rating
-
(0 ratings)
10.0
(0 ratings)
User Testimonials
IBM Elastic Storage ServerNetApp ONTAP Data Management Software
Likelihood to Recommend
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.
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NetApp ONTAP Data Management is a must platform to most businesses around the globe since the tool generates various capabilities for the user to easily and very securely manage all the project data through the cloud services using the platform capabilities. The data analytics are generated in real-time and easy visualization of different data which the tool helps the user import across other platforms.
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Pros
  • Very High Availability and Scalability
  • Works particularly well for AI and Big Data usecases
  • Easily unifies all sorts and types of Data
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  • Offsite replication is seamless.
  • Snapshots are easy to implement.
  • System Manager is easy to learn and manage the entire system.
  • System Manager is feature rich.
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Cons
  • 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
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  • Not necessarily a dislike of OnCommand per se but I do dislike that you have to still use different flavors of this tool to get a holistic view of every aspect of your NetApp - System Manager, Performance Manager, Unified Manager etc
  • The initial process to connect to a filer probably could do with a little more friendly documentation as the format for filer name (or IP) and whether and SNMP string is required etc is not clear.
  • The ability for more complete search capability within the logs (so therefore not having to extract them to work with them) would be an advantage for the timely resolution of faults.
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Usability
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Functionality is very impressive, practical, and useful. GUI could use several improvements.
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Support Rating
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Support is great. Our account managers and system engineers regularly contact us and check in on us. Provide free training on various topics. Our team is readily available to answer any questions. Support tickets are generated automatically if anything goes wrong such as a disk going bad and a new one is sent out immediately. Very happy with support.
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Alternatives Considered
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.
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I have not been able to use similar platform though in service delivery and functionality capacity this is the most effective tool in our company. The entire organization data and workloads are always under secure environment when managed by this great platform. It has enabled us to meet our objectives and speed up operations across in all departments. Data in both cloud and on premise is automatically connected to provide multiple services and bring efficiency.
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Return on Investment
  • 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.
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  • It has saved a lot of resources contributing to positive returns on investments
  • Our data is always secure under this platform
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ScreenShots