Cisco Cloud Object Storage (COS) provides distributed, resilient, high-performance storage and retrieval of binary large object (blob) data. Object storage is distributed across a cluster of hardware systems, or nodes. The storage cluster is resilient against hard drive failure within a node and against node failure within a cluster. Nodes can be added to or removed from the cluster to adjust cluster capacity as needed.
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IBM Analytics Engine
Score 7.2 out of 10
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IBM BigInsights is an analytics and data visualization tool leveraging hadoop.
IBM Cloud storage is a platform for backing up and archiving an unlimited amount of data in a simple, inexpensive, and adaptable manner. It adds additional smart tier capabilities, such as automatic tier categorization and cost optimizations depending on data activity. More secure storage of sensitive information through encryption and fine-grained regulation. A single, permanent, safe, and inexpensive location for all that historical data is IBM's cloud. Now, with query-in-place and machine-learning technologies, developers may create a data lake from which to draw meaningful insights. Offering both high levels of data durability and transmission speed, it is ideal for storing sensitive information on devices that must remain unchanged. Because of the service's excessive latency, a conventional database cannot be stored on it.
Well suited for my big data related project or a static data set analysis especially for uploading huge dataset to the cluster.
But had some issues with connecting IoT real-time data and feeding to Power BI. It might be my understanding please take it as a mere comment rather than a suggestion.
Easier pricing and plug-and-play like you see with AWS and Azure, it would be nice from a budgeting and billing standpoint, as well as better support for the administration.
Bundling of the Cloud Object Storage should be included with the Analytics Engine.
The inability to add your own Hadoop stack components has made some transfers a little more complex.
Cisco Cloud Object Storage (COS) stands out in terms of scalability, reliability, and security. Even the storage plans are competitive with other cloud object storage providers. It provides great performance for unstructured data and large datasets, which are highly used in industries requiring analyses of large datasets. For an efficient user experience, it also provides content delivery for the users spanning across the globe.
The storage capacity on Cisco Cloud Object Storage is amazing and the data protection functionalities are very active. The Cisco Cloud Object Storage has [the] most cluster storage management options and [easiest] tools which offer amazing capabilities on easy management of multiple media files through the Cloud services without risking any information.
We initially wanted to go with Google BigQuery, mainly for the name recognition. However, the pricing and support structure led us to seek alternatives, which pointed us to IBM. Apache Spark was also in the running, but here IBM's domination in the industry made the choice a no-brainer. As previously stated, the support received was not quite what we expected, but was adequate.
This product has allowed us to gather analytics data across multiple platforms so we can view and analyze the data from different workflows, all in one place.
IBM Analytics has allowed us to scale on demand which allows us to capture more and more data, thus increasing our ROI.
The convenience of the ability to access and administer the product via multiple interfaces has allowed our administrators to ensure that the application is making a positive ROI for our business users and partners.
