Cube Core v1.7 — Tesseract GA, data modeling, performance
Blog post from Cube
Cube Core version 1.7 introduces significant advancements, highlighted by the general availability of Tesseract, Cube's next-generation data modeling engine, which brings enhanced capabilities like multi-stage calculations and multi-fact views to production. This release also includes comprehensive data modeling improvements, a major performance overhaul of the query orchestrator and SQL API, and substantial changes such as the default activation of Tesseract and the native query pipeline, with several deprecated options removed. Key features involve advanced data modeling tools like multi-stage grain directives, conditional data masking, and improved number formatting, alongside enhanced pre-aggregation options and new API functionalities like client-side Format API and SQL window functions. Additionally, performance optimizations are achieved through a new columnar data transport between JavaScript and Rust, resulting in faster data handling and query processing. The update encourages users to familiarize themselves with the breaking changes and migration paths before upgrading due to several significant defaults and removals in this version.
No tracked trend matches for this post yet.
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.