Who purchased Informatica?

Permira funds
– August 6, 2015 – Informatica Corporation, the world’s number one independent provider of data integration software, today announced the successful completion of its acquisition by a company controlled by the Permira funds and Canada Pension Plan Investment Board (CPPIB).

Does Microsoft buy Informatica?

Salesforce Ventures and Microsoft buy into partner Informatica as the data integration and management company goes private in a $5.3 billion deal. The deal to go private valued Informatica, a key data integration player, at $5.3 billion, or $48.75 a share in cash.

Is Informatica going public?

Informatica – Not going to IPO. Will be sold, possibly in pieces.

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When was the acquisition of Informatica by Microsoft?

On 7 April 2015, Permira and Canada Pension Plan Investment Board announced that a company controlled by the Permira funds and CPPIB would acquire Informatica for approximately US$5.3 billion. On 6 August 2015, the acquisition was completed and Microsoft and Salesforce Ventures invested in the company as part of the deal.

How many customers does Informatica have in the world?

It has a customer base of over 9,500 companies. In 2006, Informatica announced a “cloud business”. Informatica has grown through a combination of sales growth and through company acquisitions. ^ Konrad, Alex (6 August 2015). “Microsoft And Salesforce Join In $5.3 Billion Buyout of Informatica”.

What was the purpose of Informatica acquisition of allsight?

“Informatica’s acquisition of AllSight is exciting for both companies as well as the Customer Intelligence Platform market overall, for delivering contextual customer experiences and interactions to organizations,” says Sheryl Kingstone, Research Vice President & General Manager, 451 Research.

What are the different types of Informatica products?

Informatica’s product is a portfolio focused on data integration: extract, transform, load, information lifecycle management, business-to-business data exchange, cloud computing integration, complex event processing, data masking, data quality, data replication, data virtualization, master data management, ultra messaging.

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