Informatica seems to be coming back in the game with its launch of a suite of modern data management products.

The enterprise information catalogue, which aims at unifying the entire enterprise metadata under one umbrella, is referred to as “the google of enterprise data” by Mr. Amit Walia, the chief product officer of Informatica. It ingests the technical, business, operational and usage metadata across tools and technologies. This has greatly simplified the searching of enterprise data sets for business analysts and product managers, so that they can easily put enterprise data to use.

Claiming to be the first artificial intelligence powered technology for data management, Informatica has introduced CLAIRE, an Artificial Intelligence component that is embedded within its platform to power every product including the enterprise information catalogue.

Going with its long lasting tradition, Informatica has been helping companies to become data driven since a long time. It had introduced PowerCenter in the 90’s, the market leader in ETL (extraction, transformation, load) tools. The tool was a huge success mainly because of its efficient data processing engine, and informatica became a well know brand in the data management industry. Informatica now refers to it along with its other earlier products as the ‘traditional’ product suite.

With the advent of various new technologies within the world of data management, informatica seemed to be falling behind the race for a while, as there was not much innovation happening in its products until recently. However, the company quickly realised that its traditional product suite was not enough to serve the changing requirements of the industry and seems to have buckled up to the challenge.

Leveraging cloud, big data and artificial intelligence technologies, Informatica has made a comeback. All informatica products are now available on cloud in subscription and usage based pricing model.

Amit Walia mentioned that the new Informatica cloud data warehousing solution used mass ingestion techniques to load around 440 billion records within just a few months to cloud data warehouses like amazon’s redshift and google’s bigquery. He was speaking as a keynote speaker at the informatica world event in 2017.