Is Your Organization Truly AI-Ready? ?? We invite you to participate in our short survey to benchmark your AI readiness. Plus, learn how Cube’s Universal Semantic Layer unifies and governs data to power trustworthy AI at scale. ?? Click here to take the survey: https://gocube.co/4l3WylR #AIRoadmap #DataStrategy #SemanticLayer #CubeCloud
关于我们
Cube is the universal semantic layer that makes it easy to connect data silos, create consistent metrics, and make them accessible to all of your BI tools, customer-facing embedded analytics, as well as LLMs, AI chatbots, and agents. Cube is the company behind the wildly popular Cube open source project and delivers the Enterprise-ready Cube Cloud that includes additional functionality - such as integrations with Power BI, Tableau, and Looker - along with robust developer tools, observability, security, and compliance making it easy to quickly deploy, monitor, and use Cube across any sized business. Companies such as Drift, Cloud Academy, Security Scorecard, Intuit, Walmart and IBM trust Cube to deliver amazing data experiences to their customers and employees. Cube is supported by investors such as Bain Capital and Decibel and is located in San Francisco, CA.
- 网站
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https://cube.dev
Cube的外部链接
- 所属行业
- 软件开发
- 规模
- 51-200 人
- 总部
- San Francisco
- 类型
- 私人持股
- 创立
- 2019
- 领域
- Analytics、Databases、Developer Tools、Open Source、Business Intelligence、Embedded Analytics、LLMs、APIs、Caching、Query Performance和Semantic Layer
地点
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主要
获取路线
US，San Francisco
Cube员工
动态
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Migrating from SSAS? Here’s how to avoid common pitfalls. Moving away from legacy OLAP doesn’t have to be a headache. In our fireside chat, we’ll share a step-by-step approach to transitioning from SSAS to a modern semantic layer—without breaking existing workflows. You’ll hear: ? How to ensure data consistency across BI tools ? Real-world success stories from teams that made the switch ? Best practices for enterprise-grade governance in the cloud ?? April 9 | 9:00 AM PST ?? Register here: https://gocube.co/4bX50ir
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?? Legacy OLAP holding you back? With cloud-first adoption accelerating, tools like Microsoft SSAS struggle with costs, scalability, and siloed data. Discover how Cube Cloud’s universal semantic layer redefines OLAP for the modern era: seamless cloud integration, native Excel/PowerBI connectivity, and 50%+ cost savings. ?? Grab The Future of OLAP whitepaper to learn why enterprises are modernizing: https://gocube.co/4ixAEpu #OLAP #CloudMigration #DataAnalytics
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Cube转发了
?? Excited to speak at the Peninsula Data Happy Hour meetup tomorrow! I’ll be sharing how we’re building AI agents that can not only read the semantic layer but also modify it in real-time. Semantic layers have become a de facto requirement for AI agents accessing data in cloud data warehouses. But what happens when AI doesn’t just consume the semantic layer—but actively shapes and optimizes it? Imagine AI data engineers dynamically adjusting data models, refining metrics, and improving performance—all while ensuring governance and reliability. Looking forward to the discussion!
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?? Rethinking OLAP: How to Migrate from SSAS to a Modern Semantic Layer Are you still relying on SSAS but facing challenges with cost, scalability, and cloud migration? As organizations move to platforms like Snowflake, Databricks, and Redshift (OR “newplatforms”), legacy OLAP can create roadblocks. Join our upcoming #firesidechat on April 9 at 9:00 AM PST to learn how your organization can” ? Eliminate costly SSAS licensing & maintenance ? Enable real-time analysis in Excel & Power BI ? Ensure a seamless #cloudmigration without disruption ?? Save your seat: https://gocube.co/4bsHo5d #clouddatawarehouse #ssas #olap
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?? Is Your Analytics Stack Holding You Back in the Cloud Era? ?? For decades, Microsoft SQL Server Analysis Services (SSAS) has been the go-to OLAP solution. But as businesses migrate to cloud platforms like Snowflake, Databricks, and BigQuery, SSAS is becoming a roadblock. In his latest blog, Michael Hetrick, Cube’s Director of Product Marketing, breaks down why SSAS struggles in a cloud-first world: ?? Costly Complexity: Duplicate infrastructure, licensing fees, and siloed Excel workflows. ?? Limited Scalability: Built for on-prem, SSAS can’t keep up with elastic cloud demands. ?? Slow Performance: Bottlenecks hinder real-time insights as data volumes grow. The solution? Cube Cloud—a modern universal semantic layer that bridges cloud data and BI tools. Ready to modernize your OLAP strategy? Dive into Mike’s blog to learn how Cube Cloud future-proofs your analytics. ?? ?? Read the full blog: https://gocube.co/4hdaJ4R #CloudAnalytics #DataModernization #BI #Cube
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?? BI’s Harsh Lessons: Why Scaling AI Will Be Even Harder ?? Despite decades of investment, BI adoption remains stuck at 25-35%. Fragmented data, inconsistent metrics, and eroded trust plague organizations. Now, as AI takes center stage, the stakes are higher—and the risks of repeating BI’s mistakes are real. The Fix? A universal semantic layer. Learn more: https://gocube.co/4hlrg6F #DataScience #AI #BusinessIntelligence #DataGovernance #MachineLearning #DataEngineering
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Cube转发了
Data without analysis is a wasted asset. Analytics without action is wasted effort. I write compulsively and advise startups, established software vendors, investors and enterprises on data, analytics and AI strategy.
At the Gartner conference last week, I heard a constant refrain that PowerBI customers are very frustrated with both the performance of PowerBI against cloud data warehouses and the way they are being forced to adopt the increasingly expensive and unpopular Fabric architecture. I don't know what MSFT will do about this. Hopefully something more than just increasing the prices yet again and browbeating customers into a sort of submission. What can customers can do about it? Cube's PowerBI live connections to Snowflake may be exactly what they need.
"Power BI is fine but I just hate how many imports our users are creating." This is something I've heard over and over again from customers using Power BI in conjunction with Snowflake. I've heard similar sentiments from Snowflake AEs and SEs supporting their customers. But why are these users creating imports? It's not because Snowflake performs poorly. It's typically because the alternative is what Microsoft calls DirectQuery mode - Power BI issuing SQL queries to Snowflake. DirectQuery has many known limitations, including row-count limits even in intermediate results and poorly optimized SQL. Cube Cloud provides an alternative with it's DAX API endpoint for Power BI. We can connect to Power BI as a Live Connection, in which Power BI speaks its native language, DAX, and we handle the translation and query optimization with significantly improved performance while also respecting security and governance models within Snowflake. Come hang out with us for an hour on Wednesday March 12th, 9am PST to learn about how to improve Power BI performance on Snowflake with Cube Cloud. https://lnkd.in/gUtZr2Pn
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Key takeaway from #GartnerDA 2025: Trustworthy data is the foundation for successful #AI. Brian Bickell, VP of Strategy & Alliances at Cube, shares how a universal semantic layer addresses governance & agility challenges in the era of AI. Explore Cube's insights from the conference and learn how to empower your data strategy: https://gocube.co/3FnFCGr #DataAnalytics #DataGovernance #AIStrategy