Rockset targets cost control with latest database update

neub9
By neub9
2 Min Read

The latest update from database specialist Rockset focuses on cost efficiency. Launched on Wednesday, the platform introduced autoscaling compute capabilities and new CPU ratios optimized for low-cost search and AI applications, resulting in a potential cost reduction of up to 30% with an entry price point of $232 per month for developers.

The 30% compute cost reduction, while significant, has raised some questions among analysts. TechTarget’s Enterprise Strategy Group’s Steve Catanzano noted that while the cost reduction is interesting, Rockset has not provided a breakdown of how it will achieve this reduction and whether it will apply to all customers.

Rockset also announced a strategic partnership with Hewlett Packard Pathfinder, part of Hewlett Packard Enterprise, including an undisclosed investment. This partnership aims to develop a joint go-to-market strategy to reach new potential customers.

Based in San Mateo, Calif., Rockset has raised $112.5 million in venture capital funding to date and has historically supported structured and semi-structured data for real-time analysis. The platform expanded its support to unstructured data in April 2023 and introduced vector search and storage capabilities.

New capabilities

Vector search and storage have become critical capabilities due to their impact on generative AI models. Vectors, which give structure to unstructured data, enable better search and analysis of unstructured data files.


Next steps

Efficiency and expansion to new clouds are focal points for Rockset’s product development plans. Currently available on AWS, Rockset aims to become available on Microsoft Azure and subsequently on Google Cloud.

Steve Catanzano advised the vendor to continue focusing on enabling real-time AI and analytics while emphasizing cost control, as this presents an opportunity to attract new users with lower costs and improved efficiency.

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


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