With its in-memory database add-on to Oracle Database, Oracle projects querying speed increases of more than 1,000%. Users can implement the add-on with their existing Oracle database, avoiding a large data migration or full replacement of the database infrastructure. Oracle continues to offer the Oracle TimesTen in-memory database as well, which has gained popularity in vertical industries such as telecommunications and financial services. Both tools facilitate business analytics and business intelligence reporting by enabling increased flexibility and response times. An added business benefit of in-memory analytics is the reduced reliance on IT staff.
However, businesses must examine the actual benefits of in-memory analytics tools for their particular database architecture, weighing the advantages with the potential costs and specific business objectives. The performance boost may not be as dramatic as expected in some situations.
The articles in this guide offer a close examination of the potential benefits of the Oracle in-memory database options, as well as expert insights into practical uses and possible drawbacks.
1Oracle in-memory database-
What the Oracle in-memory database has to offer
Oracle in-memory databases can increase the performance of analytical queries and allow for a faster approach to deployment. On the other hand, there are costs associated with licensing, hardware and development. The articles in this section examine several factors to consider before choosing any Oracle in-memory database options.
This tip offers preliminary considerations to take into account before implementing the Oracle Database 12c in-memory option. Continue Reading
In this tip, the author discloses the potential licensing and hardware costs that come with the Oracle Database 12c in-memory option. Continue Reading
Expert Mich Talebzadeh examines the Oracle TimesTen in-memory database in detail, looking at how it works and what benefits it offers. Continue Reading
How does Sybase's Adaptive Server Enterprise (ASE) in-memory database compare with Oracle TimesTen? Mich Talebzadeh investigates. Continue Reading
Speed promised by in-memory technology
Perhaps the most touted benefit of in-memory analytics is the great potential for increased processing speeds for business intelligence operations. In the articles in this section, learn more about the reality of these expedited processing times, as well as related considerations such as cost, business goals and varying architectures.
In-memory analytics tools must align with business processes to be valuable to users, according to this co-author of a book on big data analytics. Continue Reading
Explore how in-memory appliances boost business intelligence performance and speed, but may invoke additional costs. Continue Reading
An expert explains how Oracle Exalytics, Oracle's in-memory BI server appliance, will become a commodity due to its fast processing capabilities. Continue Reading
Analysts explain how the potential for faster business intelligence speeds is a common thread with in-memory analytics tools, despite the different architectures available. Continue Reading
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Uses for in-memory technologies
In-memory processing can enhance performance in more ways than one. Organizations confronting large data sets -- big data -- and data-intensive projects have been using in-memory applications and data grids to perform analytics tasks. The articles in this section offer user experiences and advice.
Get user and consultant insights into analyzing big data with the aid of in-memory applications -- a potent mix. Continue Reading
In-memory data grids can be applied to data-intensive jobs to improve performance. Continue Reading
Learn what SearchOracle editors David Essex and Mark Brunelli discovered about the Oracle in-memory database and other news at OpenWorld 2013. Continue Reading
Definitions of in-memory database terms
Check out these terms to enhance your understanding of in-memory technologies.