Graviti Launches New Data Platform
Graviti Data Platform will power enterprises to manage unstructured data at scale.
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Graviti, a New York-based modern data infrastructure startup that has been in stealth mode for the past three years, has launched its first product -- Graviti Data Platform.
Designed to eliminate an expensive and confounding problem faced by developers of AI applications worldwide -- working with large volumes of unstructured data -- the platform removes much of the hassle faced when managing and processing such data and improves the scalability and complexity of the unstructured data developers work with. Enterprises can acquire, manage, and query data faster in the cloud, identify actionable insights from the data collected, and create AI applications.
The launch of the data platform couldn't come at a more critical time for enterprises and AI developers. A survey of more than 500 developers, commissioned by Graviti and conducted by Propeller Insights in late 2021, showed that developers today are inundated by vast amounts of unstructured data. Among the survey’s key findings:
- Nearly all the developers who responded (94 percent) said their current method of managing unstructured data falls short
- Twenty-five percent said they spend between one-half and two-thirds of their time on chores involved with curating unstructured data: data collection, cleansing, selecting, and exploring
Time spent on data curation is proportional to the size of the company, the survey showed. Nearly all the developers surveyed (95 percent) acknowledged that pain points surrounding data management exist at their organization, with nearly half (46 percent) saying that hunting for data from disparate and scattered sources is their biggest headache. Another 39 percent responded that tracking data sets is the biggest pain point because of the large number they must produce daily. Nearly a third (32 percent) said low-quality data is the biggest obstacle.
“According to the survey, the larger the company, the more time developers spend working with data,” said Edward Cui, Graviti’s founder and a former machine learning expert at Uber’s Advanced Technologies Group. “While analyzing the areas that cause developers the most trouble, we found that many users were confronted by similar challenges.”
The platform enables developers to manage their raw data, metadata, and semantic data all in a single location. With the platform, they can leverage custom filters to quickly locate and visualize the data. The end result is that Graviti liberates developers from chores and they can now spend more time analyzing unstructured data and training models.
The Git-like data version control, workflow automation, and data visualization functions enable engineers to increase efficiency. Built on a data engine with elastic and scalable architecture, Graviti Data Platform provides enterprises a consumption-based model to reduce cost.