September 2023 Summaries

Databricks and Cube are used together to build a unified semantic layer for organizations, making cloud data accessible and consistent to all data consumers. A semantic layer acts as middleware between data sources and downstream applications, abstracting physical data models and providing improved field labeling and dynamically calculated metrics. The combination of Databricks' Lakehouse with Cube's data modeling, access control, caching, and APIs enables secure delivery of consistent metrics to business intelligence tools and AI agents. By unifying the data stack, Cube and Databricks empower data engineers to handle data models through code, fostering collaborative efforts and streamlined code reviews. The integration of Cube with Databricks allows for seamless queries without data extraction, optimized performance by leveraging computing power, and pre-aggregations that reduce repetitive queries on the Databricks instance. This enables users to build any application they can dream of using first-class APIs such as SQL, REST, and GraphQL.

Semantic Layer Sync now supports Tableau, allowing users to easily build workbooks and dashboards with Cube Cloud data, while Data Graph has been enhanced to visualize views alongside cubes, providing a human-friendly overview of the data model. To help manage usage, Budgets have been released, enabling customers to set up monthly or daily budgets and receive email notifications when thresholds are exceeded. These updates aim to improve user experience and streamline data management in Cube Cloud.

Semantic Layer Sync has been introduced to bridge the gap between the semantic layer and BI tools, enabling instantaneous self-serve analytics. The feature has expanded its support to include Tableau, allowing users to author data models in Cube Cloud and seamlessly synchronize them with Tableau Cloud or Desktop. This integration is now available on Premium tiers of Cube Cloud and can be accessed by checking the documentation. The update aims to save time for data engineers and enable self-serve analytics for end-users in BI tools.

We are excited to announce that Cube Cloud, our universal semantic layer for building data applications, is now available for purchase on the Amazon Web Services (AWS) Marketplace. This move expands our relationship with AWS and provides customers with more flexibility in purchasing and deploying our product. With this new listing, customers can utilize their prior AWS committed spend, enjoy a standard AWS EULA, or benefit from a faster procurement process. The availability of Cube Cloud on AWS Marketplace aligns with our core values of flexibility and customer choice, and we look forward to continuing to expand our integrations with AWS data and analytics technologies.

When a growing company like Cube was recognized as both a Leader in GigaOm's Sonar for Semantic Layers and Metrics Stores and a Fast-Mover, it highlighted the hard work and innovative features such as support for YAML, SQL API, Data Graph, Orchestration API, and Integrations with AI tools. The recognition underscores the significance of semantic layers in data analysis, which consolidate complex data into understandable terms across different teams and tools. Cube's strong code-first orientation, native API support, analytics pre-processing capabilities, and open-source version have made it stand out as a platform play rather than just a feature, beating even big brands like SAP and Oracle. The report provides valuable insights for organizations considering adopting semantic layers and metrics stores.