IDC's Storage Solutions: Big Data and Business Analytics service looks at the impact of Big Data and business analytics software, technology, and services on the storage market — specifically on newer implementations such as Hadoop, NoSQL/NewSQL, and relational databases; business intelligence and business analytics software; intelligent distributed file systems; and object storage solutions. The impact to storage will be looked at from the architecture, interface, storage media, capacity, and revenue perspectives across primary, secondary, and archive storage tiers. These data points will be used for segmentation and forecasting.
- Commercial scale-out storage architectures in support of Hadoop and other Big Data and business analytics implementations
- Implications of Big Data and business analytics on storage use cases such as backup, replication, and archive
- Internal storage used in support of Hadoop and other business analytics implementations
- Computer storage environments from DDN, Cleversafe, HDS, and others
- Use cases and applications supporting Big Data and business analytics implementations
- Big Data/Business Analytics Storage Taxonomy
- Big Data/Business Analytics Executive Interview Report
- Big Data/Business Analytics End-User Survey Report
- Big Data/Business Analytics Use Cases and Applications Reports
- Big Data/Business Analytics Storage Segmentation and Forecast Report
In addition to the insight provided in this service, IDC may conduct research on specific topics or emerging market segments via research offerings that require additional IDC funding and client investment.
- What is the storage capacity and revenue forecast for Big Data and business analytics use cases?
- When will infrastructure supporting Big Data and business analytics reach its peak in terms of spending?
- What percentage of Big Data and business analytics result sets will be retained? For how long, and what approaches will be used?
- Will storage in support of Big Data and business analytics be scaled out and commodity based or leverage a shared storage file architecture?
- What will be the role of storage bit technologies like SSDs, tiering, deduplication, and compression as they are related to Big Data and business analytics?
- How will computer storage clusters and distributed file systems impact the Big Data and business analytics market?
This service reviews strategies, market positioning, and future direction of several providers in the storage market, catering to Big Data and analytics use cases and applications. A sample of companies and market segments analyzed are:
- Hadoop distributors: Cloudera and Hortonworks
- Storage vendors (incumbents): Dell, EMC, HP, IBM, NetApp, and Oracle
- Storage vendors (upcoming): Amplidata, Cleversafe, Compuverde, Coraid, DDN, Nexsan, Nimble, Nimbus, and Violin Memory
- Stacks: CloudStack, Hadoop, and OpenStack
- Software companies: Symantec and Red Hat
- Analytics companies: IBM, Oracle, SAP, and SAS
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Senior Research Analyst, Storage Systems and Software