April 13, 2023
Actionable Data Insights for Improved Business ResultsAs we close out 2024, we reflect on a year of bold strides and transformative innovations at AtScale. From empowering collaboration, simplifying deployments, advancing natural language capabilities, and fostering interoperability, our mission to modernize data analytics has taken significant leaps forward. Here’s a look at the key milestones that shaped our journey this year.
Fostering Collaboration with Open-Source Semantic Modeling
In 2024, AtScale released the Semantic Modeling Language (SML), an open-source standard designed to make semantic modeling powerful and approachable. Built on a human-readable YAML syntax, SML is object-oriented, supporting inheritance and encapsulation, ensuring extensibility, and fostering wide-scale industry adoption.
We launched an open-source semantic model repository on GitHub to further support collaboration. This repository features AtScale-developed and community-contributed models for popular applications and is freely available to everyone. Additionally, we introduced the free Developer Community Edition, giving users the tools to create, share, and collaborate on semantic models. These initiatives underscore our commitment to fostering a culture of innovation and shared knowledge in the data analytics community.
Elevating LLM Accuracy with Natural Language Query (NLQ)
AtScale introduced Natural Language Query (NLQ) capabilities, enabling users to query data in plain English. Powered by Generative AI, this innovation achieved an impressive 92.5% accuracy in translating natural language into SQL, dramatically improving decision-making speed and accessibility. Read the full whitepaper: Enable Natural Language Prompting with AtScale’s Semantic Layer & Generative AI.
To further support transparency, we launched the industry’s first public leaderboard for text-to-SQL (T2SQL) solutions. This benchmark enables academia, vendors, and developers to evaluate T2SQL performance using replicable methods based on the TPC-DS dataset. These advancements solidify AtScale’s leadership in making natural language interaction with data more reliable and accessible.
Streamlining Integration with Open Protocols and APIs
AtScale expanded its platform with enhanced integration capabilities to better align with diverse enterprise environments. By adopting open-source technologies like Keycloak, OpenTelemetry, OpenAPI, and KeyGen, we strengthened our support for identity management, observability, and API interactions. Our support of Postgres’ PGWire protocol further improved integration with BI and analytics tools.
We also introduced a robust API layer, empowering developers to build custom data products. Partnerships with leading data catalogs like Alation and Collibra provide direct access to semantic metadata, streamlining workflows and strengthening data governance. Together, these innovations make AtScale more interoperable and adaptable than ever before.
Redefining Semantic Modeling with Composable, User-Centric Solutions
This year, we reimagined semantic modeling with a new integrated development environment (IDE), bridging no-code and code-first personas. Designed for business analysts and data engineers, this user-centric IDE simplifies semantic model management by aligning with CI/CD pipelines and custom SDLCs. Learn more about bridging the gap between analysts and data engineers.
Central to this innovation are Composable Semantic Objects within SML. These reusable, versionable objects support modern analytics architectures like meshes and hub-and-spoke organizational models. By incorporating object-oriented principles and Git compatibility, AtScale enables seamless collaboration, robust governance, and more scalable analytics solutions.
Expanding Interoperability with Semantic Model Translators
In 2024, we introduced the dbt Metrics Translator, enabling dbt semantic models to integrate seamlessly with AtScale’s live query capabilities in tools like Tableau, Power BI, and Excel. This ensures organizations can unlock more value from their existing analytics workflows. Looking ahead, we plan to extend support to platforms like Power BI, Looker, Cognos, and Business Objects, further solidifying AtScale’s position as a versatile solution for interoperability.
Transforming Deployment with Scalable Container-Based Solutions
This year, we revolutionized platform deployment with a microservices-based architecture. By leveraging Kubernetes and Docker, we enabled seamless integration into on-premises environments and cloud platforms like Snowflake, AWS, Azure, and Google Cloud.
Our containers, hosted in a public repository and managed with Helm Charts, bring unmatched scalability, resilience, and automation to modern analytics infrastructure. At the 2024 Semantic Layer Summit, we demonstrated the simplicity of this approach by deploying the platform in under two minutes. With this architecture, AtScale ensures our customers can adapt quickly and future-proof their deployments in any environment. AtScale is now available as a Snowflake Marketplace Native App and on Google Marketplace.
Introducing a Consumption-Based Pricing Model
Recognizing the need for flexible pricing options, AtScale launched a new consumption-based pricing model starting at $2,500 monthly. Pricing is based on deployed semantic objects (DSOs), allowing customers to scale usage without unnecessary costs. This approach ensures that AtScale’s solutions remain accessible and adaptable for businesses of all sizes.
Looking Ahead: A Year of Transformation and Future Promise
2024 has been a transformative year for AtScale. We’ve redefined the data analytics landscape from open-source advancements and deployment innovations to next-level integrations and user-friendly semantic modeling. As we look to 2025, we remain committed to innovation, scalability, and delivering unparalleled value to our customers.
Thank you for being part of our journey! Ready to see what AtScale can do for your enterprise? Request a demo and take the next step in modernizing your data analytics in 2025.
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