AtScale Unveils Next-Generation Innovations for Data-Driven Collaboration

AtScale, a leading provider of semantic layer solutions for analytics and Generative AI, has announced a series of significant product innovations at the annual Semantic Layer Summit. These innovations are designed to propel the industry into a new era of data-driven collaboration, empowering organizations to extract greater value from their data assets and gain a competitive edge in today’s dynamic business landscape.

Empowering Collaboration and Agility

AtScale’s next-generation platform is engineered to facilitate seamless collaboration and agility across organizations. Through a modernized architecture, AtScale enables effortless scaling and integration with leading cloud data warehouses. The platform is built on three foundational pillars of innovation:

Flexibility: AtScale introduces a Universal Semantic Hub, catering to all AI and BI tools, irrespective of organization size or industry sector. This fosters agility by allowing teams to work with their preferred data products, enhancing cost-effectiveness and productivity.

Collaboration: Enhancements to discoverability, reusability, and oversight of analytics-ready semantic objects promote sharing and collaboration across multiple personas, including business analysts, data engineers, and data scientists.

Community: AtScale is committed to democratizing analytics consumption by enabling the development and sharing of semantic models across industries and platforms. The launch of the Developer Community Edition, a new semantic modeling language (SML), and a repository of pre-built semantic models in GitHub contribute to establishing a common language and set of tools for all.

Dave Mariani, Founder and CTO of AtScale, commented:

“This is a significant milestone in our mission to empower organizations with data-driven insights while supporting collaboration across the data and analytics community. The semantic layer serves as a key technology enabler for delivering the best of both worlds; business-friendly, self-service analytics, but with governance and control.”

Key Features of the Next-Generation Platform

Container Deployment: Users gain flexibility with new deployment options tailored to cloud characteristics, facilitating self-managed Kubernetes deployments and integration with cloud environments such as Snowflake, Databricks, and Google Cloud.

Context for AI and LLMs: AtScale establishes a metadata hub and common language, simplifying the incorporation of advanced technologies like Generative AI and Large Language Models (LLMs) within relevant business contexts.

Enhanced Integration and Protocols Support: Deeper enterprise integration and authentication are provided through open-source packaging for Keycloak, OpenTelemetry OpenAPI, and KeyGen, along with extended support for BI tooling and open protocols.

dbt Metrics Translator: Seamless integration with dbt enables dbt semantic models to work with AtScale’s live query support for consumption tools including Tableau, Power BI, and Excel.

New Semantic Modeling User Experience: AtScale introduces a new semantic modeling Integrated Development Environment (IDE) supporting both no-code and code-first data modeling, along with full CI/CD integration with Git.

Cultivating a Shared Understanding of Data

“As AI usage grows throughout the enterprise – and AI models become more sophisticated – the need for high-quality, well-understood data increases,” added Mariani. “The semantic layer empowers AI with context and clarity, enabling these models to not just process data, but understand it and use it to improve long-term decision making.”

About AtScale

AtScale’s semantic layer platform accelerates data-driven insights, simplifying and extending BI and data science capabilities. It empowers enterprise customers to democratize data, enabling self-service BI and agile analytics for impactful decision-making.