Oracle recently introduced TimesTen In-Memory database 11d release 2. It's also predicted that Exalytics In-Memory machine will be released before long. The selling price for the device is shown on Oracle's website. As touted by Oracle, the TimesTen upgrade provides you with performance benefits, and scalability that will enable it to support an increased quantity of users at a time, process a much larger quantity of requests and handle a lot more sessions. Because it is one of the two key components necessary to operate Oracle Exalytics (the 2nd being Oracle Essbase) TimesTen will not only be restricted to transaction processing but will likewise be able to support analytic apps as a result of its brand new adaptive caching abilities.
Features of TimesTen
The completely new caching element, in conjunction with Exalytics and the Business Intelligence Foundation Suite, enables TimesTen to help with analytic apps. When it's working with OBIEE, the TimesTen adaptive cache will look at the workloads which are created by a variety of queries and dashboards. Precise information about these tools is critical, and that's why industry professionals should think about taking obiee training classes and staying on top of the most recent changes. Each time the cache can locate a response time blockage in an OBIEE app or in applications which are intended to run OBIEE as middleware, the information is going to be sent to the memory of the Exalytics system. The Exalytics system has 1TB of RAM and is powered by four E7-4800 Intel Xeon processors which have 10 cores.
To a lot of you, 1 TB might not be enough RAM however TimesTen also will give you compression in columnar form. This means that 1TB is essentially comparable to 5TB of addressable memory. As per Oracle, the data may be scanned in the main memory inside of 5 seconds. If you'd like to improve the system's capability, then you must increase the number of Exalytics boxes. TimesTen's caching capabilities also are adaptive in nature since they continue adjusting and enhancing themselves according to the changes in dashboarding and query demands. Additionally, they rely more on the in-memory speed, materialized views, and other strategies which are more dependent upon administration work than on database.
TimesTen and Hana
TimesTen has mostly been a part of the transaction-processing field, since it has been used in that segment since the latter part of the 90's. It was employed by telecom providers, online retail, as well as in fiscal buying and selling for low latency apps as an embedded database. SAP's Hana experienced a completely different start. Hana was first used for analytics as an accelerator to power the SAP BW (Business Warehouse). Pretty recently, Hana was adopted as a method to operate analytic applications as well as to take the place of the BW database.
Having said that, at present both these in-memory technologies of SAP and Oracle are poised to collide. The main reason Hana poses a challenge to Oracle is because SAP is promoting it as an element that will prove itself to be an in-memory replacement of BW running databases. With the significant client base that SAP has got, and with 60% of the instances of BW utilizing Oracle database, almost any alterations to Hana could affect Oracle adversely.
Features of TimesTen
The completely new caching element, in conjunction with Exalytics and the Business Intelligence Foundation Suite, enables TimesTen to help with analytic apps. When it's working with OBIEE, the TimesTen adaptive cache will look at the workloads which are created by a variety of queries and dashboards. Precise information about these tools is critical, and that's why industry professionals should think about taking obiee training classes and staying on top of the most recent changes. Each time the cache can locate a response time blockage in an OBIEE app or in applications which are intended to run OBIEE as middleware, the information is going to be sent to the memory of the Exalytics system. The Exalytics system has 1TB of RAM and is powered by four E7-4800 Intel Xeon processors which have 10 cores.
To a lot of you, 1 TB might not be enough RAM however TimesTen also will give you compression in columnar form. This means that 1TB is essentially comparable to 5TB of addressable memory. As per Oracle, the data may be scanned in the main memory inside of 5 seconds. If you'd like to improve the system's capability, then you must increase the number of Exalytics boxes. TimesTen's caching capabilities also are adaptive in nature since they continue adjusting and enhancing themselves according to the changes in dashboarding and query demands. Additionally, they rely more on the in-memory speed, materialized views, and other strategies which are more dependent upon administration work than on database.
TimesTen and Hana
TimesTen has mostly been a part of the transaction-processing field, since it has been used in that segment since the latter part of the 90's. It was employed by telecom providers, online retail, as well as in fiscal buying and selling for low latency apps as an embedded database. SAP's Hana experienced a completely different start. Hana was first used for analytics as an accelerator to power the SAP BW (Business Warehouse). Pretty recently, Hana was adopted as a method to operate analytic applications as well as to take the place of the BW database.
Having said that, at present both these in-memory technologies of SAP and Oracle are poised to collide. The main reason Hana poses a challenge to Oracle is because SAP is promoting it as an element that will prove itself to be an in-memory replacement of BW running databases. With the significant client base that SAP has got, and with 60% of the instances of BW utilizing Oracle database, almost any alterations to Hana could affect Oracle adversely.
About the Author:
Ron Williams has an extensive 15 years of knowledge as an IT specialist and CTO for numerous corporations. He has documented a grand need amongst small businesses for educational resources and tools for IT training like Oracle training courses along with python training courses and more.