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IBM Storage Fusion

Score8.5 out of 10

16 Reviews and Ratings

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What is IBM Storage Fusion?

IBM Storage Fusion is the foundation for container-native applications running on Red Hat OpenShift, which provides enterprise grade data-storage and protection services. This solution includes data services that are critical for global enterprise applications and a data driven Red Hat OpenShift environment.

IBM Storage Fusion is built on a technology that provides global access to data to container applications. The application sees the data as another local file structure. The data can be physically located in another data source, thousands of miles away. This global data access includes S3 object data from the cloud or on-premises, Network File System (NFS) data from Dell/EMC, Netapp, or other vendors and any IBM Spectrum Scale compatible storage system.


IBM Spectrum Fusion has built-in, application-aware backup and recovery. By leveraging IBM Spectrum Protect Plus containerized software that is built into Spectrum Fusion, ITOps can have a consistent way to not only backup Red Hat OpenShift container environments but also leverage the same interface to backup VMWare or RedHat OpenShift VM environment. This is the meaning of IBM Spectrum Fusion software's “fused” storage services and storage platform solution.




Categories & Use Cases

Reviews

What users are saying about IBM Storage Fusion.
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One Stop for Enterprise Datalake solutioning and visualization

Incentivized
Salam MohammedView profile
Product Solution Architect in Information Technology at NeoSoft Technologies Ltd (1001-5000 employees employees)

Use Cases and Deployment Scope

Data Analytics is major impact on business decision and optimizing the business flow. To understand the gap multiple database & data types have to be linked and accessed properly to develop a business case life cycle. And IBM Storage Fusion helps here to connect multiple types of databases and also helps in data-mapping between multiple data sets to develop a complete life cycle of a business use-case.

Pros

  • Connecting with multiple application DB of different data types and bringing the normalized data to on a roof/data lake
  • Easy to build the models and analytics that's help better understanding of business operation
  • AI models such as predictions, forecasts, and suggestions based on individual customer patterns or geo-clusters can build easily

Cons

  • Existing AI models should be able to utilize to other use cases

Most Important Features

  • Database connection on configuration and clicks
  • Creating Data layer on applications
  • Data access control and privacy policy configation

Return on Investment

  • IBM Fusion is ideal for Enterprise businesses or Ecosystems where large data types are in play. And added benefit to bringing them under a platform to add visualization and understanding.
  • Managing and monitoring is easy when compare to other industry tool

Alternatives Considered

Apache Hadoop, MongoDB and Apache Cassandra

Other Software Used

Apache Hadoop, Apache Cassandra, MongoDB

Excellent Cloud Platform

Incentivized
Verified User
Employee in Information Technology (5001-10,000 employees employees)

Use Cases and Deployment Scope

IBM Storage Fusion was used mainly for our machine learning model training and artificial intelligence. We have implemented multiple models and did see a good performance , simple to use and easily scalable. Setup and configuration was also at ease. Having our datalake platform here was a plus. Availability in cloud makes it more flexible.

Pros

  • Machine learning model training and execution was at ease
  • Performance was good
  • Highly scalable

Cons

  • Add more in-built model templates
  • Visualization option would be plus
  • Enable more reports to add more metrix on usage

Most Important Features

  • Access management
  • Governance
  • Support and security
  • Ease of use

Return on Investment

  • Helps to add more value in our data analytics
  • Increased the overall efficiency in reporting
  • Easy to support and maintain

Alternatives Considered

Snowflake and Amazon Redshift

Other Software Used

Snowflake, Talend Open Studio, NetSuite ERP

Glance at IBM Storage Fusion

Incentivized
Verified User
Professional in Information Technology (10,001+ employees employees)

Use Cases and Deployment Scope

It added HCI capabilities to our portfolio with a primary focus on applications centric to Openshift and the path forward to cloud integration and the beginning of the cloud journey.

The shift of technology from costly management of traditional SAN/Storage and the challenges natively faced during the daily administrative process is one of the business challenges addressed and resolved through IBM Storage fusion.

To start Devops journey with IBM fusion storage.










Pros

  • Well integrated with IBM Maximo in Openshift
  • Native cloud applications
  • resilient data fabric network with inbuild storage to cater the needs of rapid data growth

Cons

  • Improvement in areas where Software Defined Storage (SDS) can be better utilized with the broad capabilities of IBM storage features.
  • Focus should be shifted towards enabling capabilities of cyber resiliency as the other offerings in the market are already equipped with the same.
  • Broader non-IBM/Lenovo hardware support can be considered, specifically for IBM Storage fusion software offerings

Most Important Features

  • Cloud native applications
  • Openshift close integration and support for IBM products.

Return on Investment

  • smoothened the process of developing new features in the existing products after migration as one single plane of console does all the job
  • Reduced the cost in managing a dedicated storage environment
  • On the other side, few licenses like existing backup cann't be used instead we have to rely on IBM offerings

Alternatives Considered

VMware vSAN

Other Software Used

IBM Maximo, BMC Cloud Lifecycle Management, Oracle eBusiness Suite