Oracle Releases Sun ZFS Storage Appliance Product Line

Oracle has introduced its next-generation Sun ZFS Storage Appliance product line. These storage appliances boast 50 percent more performance, two times more storage capacity, and nearly three times more processing power than the previous generation of Oracle storage products.

Three new tightly integrated data protection solutions for Oracle Applications are available for the Sun ZFS Storage Appliance product line: Oracle Recovery Manager backup optimizes backup with Sun ZFS Storage Appliances; Oracle Database cloning increases database performance by integrating Sun ZFS Storage Appliances with Oracle Data Guard; and Oracle Fusion Middleware simplifies disaster recovery with Sun ZFS Storage Appliances.

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Oracle CRM On Demand 18

Oracle CRM On Demand 18 is Oracle’s on-demand customer relationship management (CRM) product, introduces industry-leading capabilities designed to drive revenue and reduce costs. It delivers qualified leads at lower cost, enables better business planning regardless of market conditions, and includes enterprise-grade cloud security and network and access control.
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Oracle Solaris 11 Express

Oracle Solaris 11 Express delivers advanced Oracle Solaris features that have been in development over the past five years. Oracle Solaris 11 Express provides availability features that greatly reduce planned downtime by eliminating traditional patching- and maintenance- related reboots and vastly improving system boot time. It also adds network virtualization and resource management to the complete, built-in virtualization capabilities of Oracle Solaris, providing high-performance virtualization with low overhead.

Oracle Solaris 11 Express also powers Oracle’s Exadata Database Machine X2-2 and Exadata Database Machine X2-8 and Oracle Exalogic Elastic Cloud.

“We are excited to announce the release of Oracle Solaris 11 Express to enable our customers to deploy the new advanced features of Oracle Solaris 11 across a broad set of platforms and our engineered systems: Oracle Exadata and Oracle Exalogic Elastic Cloud,” says John F., executive vice president, Oracle Hardware. “Through the same engineering disciplines that achieved a legendary mission-critical reputation for Oracle Solaris, we are expecting Oracle Solaris 11 to further reduce any downtime by being quicker and easier to deploy, maintain, and update and to deliver a highly efficient virtualized operating system to meet the scale and performance requirements of immediate and future virtualization and cloud-based deployments.”

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Driving Down the High Cost of Storage

Does it seem like only yesterday that you made a sizable investment in a storage area network (SAN), only to find that it already needs to be significantly upgraded or even replaced? With data size and complexity increasing all the time, and with SANs remaining the technology of choice for data center storage, it’s not surprising that legacy investments in storage infrastructure are failing to keep up. What’s needed is a storage infrastructure that can handle increasingly insistent data storage demands in order to deliver IT and business value both now and far into the future.

That’s an impossible challenge for traditional approaches to SAN storage, which were simply not designed to keep pace with data growth. It may be possible to add capacity to legacy systems to support critical applications, but this often comes at the expense of performance. Adding both capacity and performance generally requires frequent new hardware investments. The cost to acquire, deploy,maintain, and inevitably replace that hardware—not to mention the cost to expand the data center to accommodate it—ultimately becomes simply intolerable from a business standpoint.

Oracle’s Pillar Axiom 600 storage system is an alternative to traditional SAN storage. It shortens time to value and continues to deliver value over the long term by speeding application deployment and facilitating rapid access to data. It represents a fundamentally different approach: Storage adapts dynamically to changing application requirements from the start, scales to accommodate growing performance and capacity demands over time, and simplifies the storage infrastructure to keep ongoing administrative requirements to a minimum.

Eliminate Costly, Inefficient Data Silos

Traditional storage solutions typically address different applications’ data needs by having dedicated storage for each application, resulting in a multitude of silos of data.These have to be deployed and maintained separately in order to meet performance requirements, which slows time to value and also minimizes that value, because capacity is used inefficiently.Pillar Axiom 600, by comparison, is implemented as a single consolidated SAN storage platform that meets the storage needs of multiple applications simultaneously. It’s designed to be fast and simple to deploy, speeding time to value. And the value it achieves is greater than what traditional solutions can deliver because of its unique quality of service (QoS) capability, which dynamically and automatically allocates storage resources to applications based on their importance to the business.Pillar Axiom 600’s QoS capability allows rapid, efficient allocation of storage, with minimal administrative overhead.

It also automatically detects changes in application priorities and responds accordingly, making it possible to meet performance requirements without sacrificing utilization. Integrate with Oracle Software and Mixed Application Environments Reap the Benefits of Hardware and Software Engineered to Work Together The economic benefits of application-aware storage are available to any data center environment, regardless of the associated software stack. But the benefits are even greater in Oracle software environments, because the storage is engineered for Oracle software, with a number of unique integration points that are available only when Oracles torage is deployed with Oracle software. For example, Oracle Database includes a high-efficiency data compression feature—hybrid columnar compression—that only works with storage developed by Oracle, including Pillar Axiom 600 storage systems.

The ability to leverage hybrid columnar compression, integration with Oracle VM, andother unique benefits of the Oracle software environment further speed the time to value for Pillar Axiom 600, as well as lowering business risk for companies that deploy it with Oracle applications.

For more information on Pillar Axiom 600, call +1.800.ORACLE1 to speak to an Oracle representative or visit
OUTSIDE NORTH AMERICA Visit to find the phone number for your local Oracle office.


ZFS Storage Appliance

Oracle ZFS Storage Appliance, based on an innovative storage architecture, delivers leading performance, management simplicity, and unparalleled efficiency to reduce storage sprawl, complexity, and cost. As only Oracle can co-engineer hardware and software together, Oracle ZFS Storage Appliance offers unique Oracle Database integration within a robust storage platform that complements the extreme performance of Oracle engineered systems, Oracle’s SPARC and Sun x86 servers, and Oracle Solaris.

ZFS Storage Appliance and Virtualization
ZFS Storage Appliance and Virtualization

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Oracle’s Sun Open Storage (Resourse Kit)

Your Guide To Simple, Scalable Open Storage

Unleash the power of Oracle’s Sun Open Storage in your enterprise with 10X faster performance than competing storage systems, simplified data management and breakthrough storage analytics capabilities, and up to 70% lower costs. You can put Oracle’s Open Storage to work in your datacenter in a variety of ways, including as a backup and data recovery solution for Oracle databases.

To learn more about Oracle’s Sun Storage 7000 Unified Storage Systems, get a Resource Kit that includes:

  • Product Reviews from InfoWorld, PC Pro, IT Pro and Network World
  • Webcasts and a Virtual Simulator
  • IDC White Paper on Reducing Storage Complexity
  • Oracle White Papers, Data Sheets and more

Access this Resource Kit.


Oracle and MySQL Comparison – Migration and Differences

This guide is intended for anyone who is involved in converting a MySQL database to Oracle using SQL Developer. You should be familiar with relational database concepts and with the operating system environments under which you are running Oracle and MySQL.

“Oracle Database SQL Developer Supplementary Information for MySQL Migrations” describes several differences between MySQL and Oracle. It also outlines how those differences are dealt with by SQL Developer during the migration process.

Download the Oracle and MySQL Comparison PDF below.

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Oracle Identity Federation (whitepaper)

Oracle Identity Federation (OIF) is one of the core services of Oracle Access Management Suite Plus. OIF provides a complete, enterprise-level, carrier-grade solution for exchanging identity information securely between partners. With OIF, organizations can conduct business online with confidence, by providing to their business partners secure access to protected applications. OIF significantly reduces need to manage partner identities and lowers the cost of integrating with partners through standards-based federations.

This paper covers the business and technological challenges that drive the need for federated single sign-on, and detail how OIF is able to address these challenges. The functional capabilities described span both the 11g R1 and R2 releases; release-specific functionality will be explicitly called-out as such.

PDF: Oracle Identity Federation whitepaper.


Big Data for the Enterprise (White paper)

Today the term big data draws a lot of attention, but behind the hype there’s a simple story. For decades, companies have been making business decisions based on transactional data stored in relational databases. Beyond that critical data, however, is a potential treasure trove of non-traditional, less structured data: weblogs, social media, email, sensors, and photographs that can be mined for useful information. Decreases in the cost of both storage and compute power have made it feasible to collect this data – which would have been thrown away only a few years ago. As a result, more and more companies are looking to include non-traditional yet potentially very valuable data with their traditional enterprise data in their business intelligence analysis.

To derive real business value from big data, you need the right tools to capture and organize a wide variety of data types from different sources, and to be able to easily analyze it within the context of all your enterprise data. Oracle offers the broadest and most integrated portfolio of products to help you acquire and organize these diverse data types and analyze them alongside your existing data to find new insights and capitalize
on hidden relationships.

Big data typically refers to the following types of data:

  • Traditional enterprise data – includes customer information from CRM systems, transactional ERP data, web store transactions, general ledger data.
  • Machine-generated /sensor data – includes Call Detail Records (“CDR”), weblogs, smart meters, manufacturing sensors, equipment logs (often referred to as digital exhaust), trading systems data.
  • Social data – includes customer feedback streams, micro-blogging sites like Twitter, social media platforms like Facebook

Big data Growth
The McKinsey Global Institute estimates that data volume is growing 40% per year, and will grow 44x between 2009 and 2020.

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Report: Cost/Benefit of Enterprise Warehouse Solutions

In-depth Comparison of IBM Smart Analytics System 7700,
Teradata Active Enterprise Data Warehouse and
Oracle Exadata Database Machine.

Data warehousing has emerged as one of the IT world’s fastest growth areas. New deployments continue to accelerate, and numbers of applications and users within organizations continue to expand. Demand for high-quality, current information and for tools to interpret and exploit it shows no signs of abating. High
double-digit growth in data volumes has become the norm.

The business benefits of data warehouse applications are clearly recognized. But, increasingly, users are faced with escalating expenditure not only on data warehouse solutions, but also on underlying platforms. At a time of budgetary pressures, questions are raised about the most cost-effective means of realizing
information value.

This is particularly the case for special-purpose platforms offered by IBM (Smart Analytics System, Netezza TwinFin), Oracle (Exadata Database Machine), Teradata (Active Enterprise Data Warehouse) and smaller players. Architectures and technologies of these systems are often unfamiliar to organizations that deploy them. Techniques for measuring comparative performance and cost are rudimentary.

Challenges are compounded by several factors. One is that the performance of different architectures depends on the workloads they execute. Another is that data warehouse usage tends to evolve rapidly – organizations that deploy platforms for specific applications may soon find that they must deal with significantly different environments. A third is that vendor pricing may vary widely between customers.

This report sets some parameters for comparisons. To do this, it takes into account types of workload – in particular, a key distinction is drawn between complex mixed workloads and queries involving large sequential table scans – compares overall three-year as well as acquisition costs, and bases platform calculation on “street” pricing (i.e., discounted prices paid by users).

The report focuses on three platforms: IBM Smart Analytics System 7700, Oracle Exadata Database Machine and Teradata’s flagship Active Enterprise Data Warehouse (Active EDW) 6650. Results are based on input from 46 users of these systems and their recent predecessors, on other industry sources, as well as on research and analysis conducted by the International Technology Group (ITG).

Two sets of cost comparisons, based on performance and user data, are presented.

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