Magic Quadrant's definition: Structured data
archiving is the ability to index, migrate and protect application data in
secondary databases or flat files typically located on lower-cost storage for
policy-based retention. It makes data available in context and protects it in
the event of litigation or an audit.
IBM, Informatica, Delphix, Solix Technologies & HP are
in the leader's quadrant of "Gartner’s Magic Quadrant for Structured
Data Archiving and Application Retirement 2015 " considering following
criteria by Gartner
·
Storage optimization — It can reduce the volume
of data in production and maintain seamless data access. The benefits of using
this technology include reduced capital and operating expenditures, improved
information governance, improved recoverability, lower risk of regulatory
compliance violations, and access to secondary data for reporting and analysis.
·
Governance — The technology preserves data for
compliance when retiring applications. Structured data is often transactional
and related to financial accounts or back-office functions (for example, HR,
patient enrollment in healthcare and other use cases that might be regulated)
that require information governance, control and security, along with the
ability to respond to related events such as audits, litigation and
investigation. These and other requirements, such as maintaining information
context, can prevent organizations from moving data to lower-cost tiers of
storage, or adopting other do-it-yourself approaches.
·
Cost optimization — Structured data archiving
and application retirement can result in significant ROI. Structured data in
legacy systems, ERP and databases accumulates over years — and, in some cases,
over decades — driving up operational and capital expenses.
·
Data scalability — The technology can manage
large volumes of nontraditional data resulting from newer applications that can
generate billions of small objects. Scalability to petabytes of capacity is
required in these cases.
Source : Gartner
