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News


INFORMATICA NATIVELY INTEGRATES GOVERNANCE SUITE ON GCP




AN EXPANDED PARTNERSHIP BETWEEN THE DATA PREP SPECIALIST AND TECH GIANT MAKES IT
EASIER FOR JOINT CUSTOMERS TO DEVELOP AI AND ANALYTICS APPLICATIONS USING
PROPERLY PREPARED DATA.

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By
 * Eric Avidon, Senior News Writer

Published: 09 Jan 2025

Informatica on Thursday expanded its partnership with Google Cloud to make its
Cloud Data Governance and Catalog suite natively available on the tech giant's
platform.



The move is aimed at enabling joint customers to develop trusted analytics and
AI applications. In addition, the Cloud Data Governance and Catalog (CDGC) is
also now available on Google Cloud Marketplace.

Informatica's CDGC is powered by the vendor's Intelligent Data Management Cloud,
an AI-fueled platform for integrating data from disparate sources and preparing
it for development and analysis. Included are capabilities that help customers
govern, classify, define, discover, index and measure their data.

By making CDGC natively available on Google Cloud Platform (GCP), the expanded
partnership significantly benefits joint customers because of the advantages
native integrations provide over those configured by customers themselves,
according to Stephen Catanzano, an analyst at Informa TechTarget's Enterprise
Strategy Group.

"Native availability simplifies integration, improves performance and enhances
security by leveraging GCP's built-in features," he said. "It also streamlines
procurement via Google Cloud Marketplace, making adoption faster and more
convenient."

> Native availability simplifies integration, improves performance and enhances
> security by leveraging GCP's built-in features. It also streamlines
> procurement via Google Cloud Marketplace, making adoption faster and more
> convenient. Stephen CatanzanoAnalyst, Enterprise Strategy Group

Based in Redwood City, Calif., Informatica is a longtime data management vendor
whose platform enables customers to ready data for informing analytics and
AI-driven analysis.

The expanded partnership with Google Cloud furthers Informatica's ongoing focus
on analytics and AI development by simplifying access to data governance and
catalog tools that help users trust the data they're using to build
applications. Informatica already has similar partnerships with AWS and
Microsoft Azure that make CDGC natively available on those platforms, according
to Rik Tamm-Daniels, global vice president of strategic ecosystems and
technology at Informatica.


NATIVE AVAILABILITY

Using trusted data is a critical part of developing analytics and AI tools.

If the underlying data used to train analytics and AI applications can't be
trusted, neither can the applications themselves. But if that data is
trustworthy, meaning that it's complete and accurate, users will have faith in
their outputs and use them to inform decisions.

Among the potential results of deploying AI applications developed with trusted
data are more widespread use of analytics -- which has been shown to spur growth
-- through natural language assistants as well as increased efficiency through
automation.

However, ensuring that data is trustworthy -- and the applications built on top
of that data are similarly trustworthy -- is not simple.

Data governance frameworks put in place policies and practices to ensure the
proper use of data within an organization, helping to guarantee it can be
trusted. Data catalogs, meanwhile, are essentially indexes for data sets and
data products such as reports and dashboards -- and increasingly AI-powered
applications -- where users can search for trusted assets that can be used to
inform their work.

A chart outlines steps to take when developing a data governance framework.


By making it easier for customers who use Google Cloud to access its data
governance and data catalog capabilities, Informatica is simplifying the process
of developing and delivering trusted data, according to Catanzano.

"This is a major benefit for joint customers," he said. "Native integration
reduces operational complexity, accelerates analytics and AI initiatives, and
ensures tighter alignment with GCP's tools, driving better outcomes."

While beneficial for joint customers, Informatica's integration with Google
Cloud is not unique, Catanzano added. For example, Collibra has an integration
with Snowflake, while Alation is closely aligned with Databricks.

Like Catanzano, Kevin Petrie, an analyst at BARC U.S., said the expanded
partnership between Informatica and GCP is meaningful for joint customers.

But beyond simplifying access to Informatica's CDGC on Google Cloud, it
simplifies the unification of complementary capabilities given that Google
Cloud's catalog tools don't match those provided by Informatica.

"Cataloging is not Google's strength," Petrie said. "The limitations of their
catalog, especially in the areas of connectivity, AI support and search
capabilities, mean that many of their cloud users are hunting for alternatives.
Informatica excels in these areas and offers Google users a cross-platform
catalog to centralize metadata across multiple clouds and on-premises data
centers."

As a result, the partnership carries real significance for both Informatica and
Google Cloud, he continued.

"This partnership is a win for Google, whose customers need cross-platform
cataloging," Petrie said. "It's also a win for Informatica, which gains better
access to Google's extensive installed base."

Regarding the impetus for the expanded partnership, the vendor's goal of
providing customers that use Google Cloud with the same native integrations it
already provides to those that use AWS and Microsoft played a role, according to
Tamm-Daniels.

"Ensuring that our full range of data management services are natively available
on and tightly integrated with data, analytics and AI services for each of our
cloud partners is a strategic objective," he said.

In addition, making CDGC available to Google customers not yet using Informatica
as well as vendors that sell Google Cloud products on Google Cloud Marketplace
was motivation, he added.


LOOKING AHEAD

With CDGC now natively integrated with Google Cloud, Informatica's product
development plans for 2025 will focus, in part, on adding AI to more of its
capabilities, including data lineage, according to Tamm-Daniels.

Petrie, meanwhile, suggested that as more enterprises invest in developing AI
applications, Informatica would be wise to continue emphasizing the preparation
of the unstructured data needed to help train AI models. Unstructured data such
as text and images now accounts for over 80% of all data, so making that usable
is needed to accurately train AI to understand an organization's operations.

"Informatica has a pretty solid track record of using AI to optimize the
management and governance of structured data, which remains the most popular
input for all types of analytics initiatives," Petrie said. "But as enterprises
adopt AI -- generative AI in particular -- they need to prepare, govern and
deliver unstructured data."

Informatica's blueprints for AI development, unveiled in October 2024, are one
example of what the vendor is already doing, he added.

Catanzano likewise noted that more investment in tools that simplify AI
development should be part of Informatica's roadmap.

"Informatica could offer prebuilt AI models, tighter Vertex AI integrations and
enhanced automation for data preparation," he said, referring to Google's
generative AI and machine learning platform. "Expanding self-service AI tools
and tutorials could further accelerate development."

Eric Avidon is a senior news writer for Informa TechTarget and a journalist with
more than 25 years of experience. He covers analytics and data management.



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