AtScale, the leading provider of semantic layer solutions for analytics and Generative AI, announced that its next-generation product innovations are now generally available. The advancements announcements reinforce AtScale’s commitment to fostering easier collaboration and agility across all business units, empowering organizations to derive greater value from their data assets and gain a competitive edge in today’s rapidly evolving business landscape.
Next-Generation Platform
The next generation of AtScale’s platform, now generally available, enables effortless scaling and seamless integration with leading cloud data warehouses by leveraging a modernized architecture.
AtScale’s platform is anchored on three foundational pillars of innovation: flexibility, collaboration, and community. The Universal Semantic Hub allows organizations of any size or sector to effectively leverage semantic technologies with their preferred data products, improving agility and cost-efficiency. Enhanced discoverability, reusability, and oversight of analytics-ready semantic objects shift the focus to analytics products, facilitated by an object-oriented, code and no-code modeling tool that promotes sharing and collaboration across business analysts, data engineers, and data scientists.
Additionally, AtScale is committed to democratizing analytics by enabling the creation and sharing of semantic models across industries through the free Developer Edition, which includes a new Semantic Modeling Language (SML) and a repository of reusable semantic models on GitHub.
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“This new AtScale product update is the most significant upgrade to our semantic layer platform since we invented the category more than ten years ago. AtScale’s mission is to make analytics work for everyone. That means democratizing data access and making anyone a semantic modeler, whether they’re a business analyst, an analytics engineer, or a data scientist. With our updated semantic layer platform, we are delivering on our vision of making everyone a data-driven decision-maker,” says Dave Mariani, CTO and Co-Founder of AtScale
Key Features of the Next-Generation Platform
AtScale’s next-generation platform introduces several key features:
- Container-based architecture offers new deployment options via Kubernetes or Docker, enhancing scalability, elasticity, resilience, and automation while ensuring seamless integration with cloud environments such as Snowflake, Databricks, and Google BigQuery.
- Support for advanced technologies like Generative AI and Large Language Models (LLMs). AtScale acts as a metadata hub and common language, enriching data with relevant business context for enhanced reliability and accuracy.
- Enhanced enterprise integration and authentication achieved through open-source packaging for Keycloak, OpenTelemetry OpenAPI, and KeyGen, with additional BI tooling and open protocols support.
- dbt Metrics Translator allows dbt semantic models to integrate seamlessly with AtScale’s live query support for tools like Tableau, Power BI, and Excel.
- Semantic modeling Integrated Development Environment (IDE) supports no-code and code-first data modeling within the same user experience. It utilizes a YAML-based modeling language integrating with Git for full CI/CD support.
SOURCE: Businesswire