AtScale Introduces Developer Community Edition for Semantic Modeling

AtScale, the leading provider of semantic layer solutions for analytics and Generative AI, today announced the public preview of the AtScale Developer Community Edition during the annual Semantic Layer Summit. This free downloadable version of AtScale's semantic layer platform empowers users to build and share semantic models, marking a significant leap forward in democratizing analytics.

The Developer Community Edition serves as a Universal Semantic Hub, allowing semantic models to be distributed to various AI/BI tools, promoting a connected data environment. Now, users of any size or expertise level can harness the power of AtScale at no cost.

The Developer Community Edition is a fully featured, free version of AtScale's industry-leading semantic layer platform, promoting collaboration and versatility.

Key features include:

• Semantic Modeling Language - As a part of today's launch of AtScale's next-generation platform, a sophisticated, object-oriented modeling language called the semantic modeling language (SML) was introduced to fully express complex business concepts. SML facilitates the sharing and reusing of composable and versionable semantic objects, supporting an analytics mesh, or hub-and-spoke governance style for users.
• Business-Friendly Interface - AtScale Developer Community Edition grants simplified access to data through a unified, user-friendly interface, enabling users to comprehend and analyze data without needing to know complex query languages or database knowledge. This fosters quicker, more informed decision-making across organizations, while ensuring consistency and accuracy in reporting and analytics.
• Public Semantic Model GitHub Repository - AtScale Developer Community Edition adds a public GitHub repository for pre-built, reusable semantic models, empowering users and the community to share, learn, and innovate together, making the benefits of analytics widely accessible. Industry-specific semantic models are readily available for use with any BI tool, offering immense value to companies seeking to leverage data modeling in their operations. Examples of these pre-built model libraries include:
  • Retail Insights Enhancement - Retail organizations can seamlessly integrate third-party data providers such as CRISP using Databricks' data marketplace. By leveraging the repository's pre-built CRISP data model at the same time, these organizations can also gain operational insights through their BI tool of choice, such as Power BI, Tableau and Excel.
  • Operational Efficiency in Finance - Financial services customers can enhance their operations by leveraging a smart data fabric architecture, enriched with a pre-built semantic model that speeds time to insight.
  • Advanced Analytics Transition - Pre-built data models facilitate a smooth transition from Google Analytics 4 to the next generation of warehouse-native digital analytics.

"AtScale is deeply committed to democratizing analytics consumption within organizations and evolving semantic model creation," said Dave Mariani, CTO and founder of AtScale. "We recognize that rich semantic models and analytics are the result of team efforts. Our Developer Community Edition empowers the entire community to share, learn, and innovate together, making analytics benefits accessible to all."

Join the AtScale Developer Community Edition here.

Share and connect with the semantic layer community by joining the semantic layer Slack channel; just go to https://www.atscale.com/resource/semantic-layer-slack/ and click "Join Slack Channel."

For more information about AtScale's next generation platform and its innovative features, please click here.

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. For more information, please visit www.atscale.com and follow us on LinkedIn.