

Even though enterprise data sources, such as resource planning and customer relationship management systems are critical for analytics, retrieving data from them is a tall order.
As innovations continue to rock the data space, Informatica SuperPipe for Snowflake was devised to get mission-critical data out of hard-to-get places at a 3.5 times faster replication and ingestion rate, according to Rik Tamm-Daniels (pictured), general vice president of ecosystem alliances and technology at Informatica Inc.
“One of the big ones you mentioned is SuperPipe for Snowflake, and we think about the different types of needs for data integration,” he stated. “Reducing the latency of data, making it more real-time, that’s what SuperPipe’s all about. We see up to about three and a half times faster performance than our previous kind of change data capture replication technology. It’s a huge leap forward, leveraging some of the latest Snowpipe streaming capabilities from Snowflake.”
Tamm-Daniels spoke with theCUBE industry analysts Lisa Martin and Dave Vellante at Snowflake Summit, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how Informatica has partnered with Snowflake Inc. to enhance the intelligent data management sector. (* Disclosure below.)
As generative artificial intelligence and large language models – think ChatGPT – continue to gain steam, Informatica seeks to revamp the data management sector using AI. This can be illustrated by the fact that the company recently rolled out Claire GPT and extended its Claire copilot capabilities, according to Tamm-Daniels.
“When you think about the LLM space, there are really two angles for us in generative AI,” he noted. “The first is those models need data … we’re also invested heavily in using generative AI to really revolutionize data management, and so we announced our Claire GPT and Claire Copilot at Informatica World back in early May to address those kinds of opportunities.”
By incorporating generative AI into the data management cloud interface, Informatica is able to turn metrics into a pipeline of integration and connections. This is highly transformative because a text box offers more options, Tamm-Daniels pointed out.
“Claire GPT, the idea is I think one of the big transformative things about generative AI is it actually lets you take some very complex and nuanced requests, express them in pretty significant descriptive English language descriptions, and then actually turn them into something actionable, executable,” he noted. “On the Claire copilot, that’s all about … how do we bring the power of generative AI to help make better decisions, to help have assistive technology, to recommend data quality transformations or items that you be concerned about.”
Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of Snowflake Summit:
(* Disclosure: Snowflake Inc. and Informatica Inc. sponsored this segment of theCUBE. Neither Snowflake, Informatica, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
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