Oracle just concluded its big pompous paid showcase event
called Oracle Open World. Big Data occupied limelight right from kick off to
the closing. There were a few major announcements done through the week and some
of them like additional security for big data appliance were just hype rather
than major technical breakthrough. Lets attempt to get a quick
analysis on what Oracle has in store for us and what it does not.
Oracle’s Big Data offering constituents:
Listed below are key constituents to Oracle’s Big Data
offering for its customers:
Oracle NoSQL Database
Horizontally Scaled, Key-Value Database for Web Services and
Cloud
Oracle Database
Oracle Database 11g features a wide range of options to meet
specific customer requirements in the areas of performance and availability,
security and compliance, data warehousing and analytics, unstructured data and
manageability.With Oracle Database 12c, the company has built an in-memory
database competitor to SAP HANA.
Oracle Big Data Appliance
Pre-integrated full rack configuration with 18 of Oracle's
Sun servers and combines Cloudera Hadoop distribution, Oracle NoSQL Database
and Big Data connectors.
Oracle Data Integrator Enterprise Edition
Flagship ETL/ELT. High-performance bulk data movement and
data transformation.
Oracle Big Data Connectors
Software suite that integrates Apache Hadoop with Oracle
software, including Oracle Database, Oracle Endeca Information Discovery, and
Oracle Data Integrator.
Oracle Advanced Analytics
Extends the Oracle database into a comprehensive advanced
analytics platform through two major components: Oracle R Enterprise and Oracle
Data Mining.
Oracle Exadata Database Machine
Next generation Database Machine, Oracle Exadata, combines
massive memory and low-cost disks to deliver high performance and petabyte
scalability for all applications including Online Transaction Processing
(OLTP), Data Warehousing (DW) and consolidation of mixed workloads.
Oracle Exalytics In-Memory Machine
Engineered System for advanced analytics which provides
in-memory analytics software and hardware optimised to work together along with
advanced data visualisation/exploration to quickly provide actionable insight
from large amounts of data.
The + and –
A quick snapshot on where Oracle can win and where it can
lose in comparison to other Big Data vendors.
Oracle winners
|
Oracle losers
|
Industry leading relational database
|
Exadata and other offerings still not compatible with all
Oracle DB versions and non Oracle DB
|
Strong tie up with Cloudera (Hadoop distribution company) and high acquisition possibility
|
Utilizes connector Hadoop architecture without leveraging
native support
|
With major acquisitions in the past, Oracle now has hardware,
software, application services
|
Finds tough holding ground in heterogeneous vendor
software environment
|
Provides in-memory computing capabilities
|
Flash cache only available for OLTP till now
|
Has rich BI and visualization layer
|
Has only limited advanced predictive modeling capabilities (like R)
|
Provides convenient mobile interface
|
Virtualization still a big question for Exadata
|
Has advanced BI appliance called Exalytics
|
New SPARC servers require learning curve on Solaris administration
|
Now offers Cloud deployments
|
Oracle hardware license list price do not cover Software,
support cost; TCO can shoot up as high as 10x on total bundle
|
Aggressive management vision and marketing budgets
|
CEO can ditch the Oracle Open World customers for other
passions
|
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