Your Summit database is continuing to grow, every single day. We can help you reduce your costs and improve the performance of your Summit system even as your trading volumes increase. Please take a look at the latest brochure for our PuriPhi Summit Archiving Solution and get in touch for your bespoke Summit data analysis report.
Have you maximised the performance of your Fusion Summit system?
Are you paying up to 80% too much for your Summit data storage?
Do you have best practice data governance processes in place?
Over time, your Summit database continues to grow and grow – this results not only in ever-increasing storage costs (multiplied over all your test and development database copies), but also in a general slowing-down of the system both for users and batch processes. User experience degrades, your operational risk increases, and your ability to deliver change projects – especially upgrades – is affected.
With PuriPhi you can manage your data archiving strategy and keep your production database at a fraction of its current size – while simultaneously keeping access to all your data (retained and archived), online and seamlessly combined, should you need it. No matter how you have extended Summit or what platform or version you are on, all this is managed within a framework which is generic, flexible, robust, secure, and – above all – completely safe.
At the European Summit User Group last Friday 29th November 2019, Finastra announced the products partnership with Phi that was recently signed in the context of making PuriPhi, our Summit data archiving solution, part of the Finastra partner product catalogue.
With official backing from the vendor, we are happy that a wider pool of Summit clients globally will be able to realise the benefits from reducing the live Summit database by up to 60% with no corresponding loss in functionality.
PuriPhi clients achieve significant storage cost savings across their entire Summit estate as well as seeing improved performance and faster database dump/load and conversion times, an imperative for the journey towards continuous delivery.
Please see our case studies or contact your Phi representative for further information on PuriPhi or to arrange a demo.
PuriPhi, our industry leading online data archiving solution for Summit, is now live for the international investment banking arm of one of the top banking groups in France.
In the words of the Summit system owner:
“PuriPhi is on the way to take away one third of our current data and reunite ten years of archived database snapshots. It allows us to rethink our view of historical data and it will greatly improve our daily testing environment and regular audit requests”
Context: Our client has a 1.6Tb Summit database, replicated across 30 environments for production, test and development. The existing infrastructure was unable to support the future growth of the database. Previous purging of the production database had resulted in multiple historical snapshot copies being maintained, with an inability to easily combine the data for reporting.
Goal: To reduce the live database size and present all data (live, newly archived AND previously deleted data) in a single Summit environment, compatible with data model updates. Maintain the live database at a reduced size according to specific archiving requirements.
Solution: PuriPhi was installed and configured to archive matured and cancelled trades and historical market data more than 415 days old. Even without considering any of the other data types that PuriPhi supports, 500Gb of data was removed from the production database. The PuriPhi solution presented the archived and production data, seamlessly combined with no loss of functionality through the usual and familiar Summit GUI.
– Live database is reduced by 500Gb
– Space savings are multiplied over 30 environments
– Performance of the live system is improved
– Infrastructure supports future growth of database
– Increased number of dev/test environments supported
– Improved dump/load times
– Aggregated view of ALL data for the first time
– Compatible with future data model changes