At Cube, we’re on a mission to power the next generation of data experiences with consistency, context, and trust. Every day, we are innovating for our customers and community of data engineers and app development teams who choose Cube to unify, govern, optimize, and integrate across the modern data stack and a growing number of diverse data consumers, including AI, BI, spreadsheets, and embedded analytics.
We take great pride in our commitment to interoperability so that you have both choice and flexibility to build the modern data stack to your specific requirements today and in the future, delivering a truly universal semantic layer. In the last year, we’ve worked at a fast pace to deliver new features, new APIs, new use cases, and even more integrations to help you improve how data is managed and consumed, both inside and outside your organization.
For our efforts, Cube has been named a fast-moving Leader for GigaOm’s 2024 Sonar Report on Semantic Layers and Metrics Stores again, after first appearing in the 2023 report. Cube Cloud is recognized for our ability to innovate quickly, adapt to market needs, and provide a powerful platform that supports a wide range of use cases. We are honored to advance as a Leader and grateful for your support as a customer. Thank you for being part of our success.
Why Universal Semantic Layers Are Key Right Now
In its report, GigaOm highlights the growing need for a universal semantic layer, noting that they help eliminate confusion and inconsistency across your organization. This is critical as data becomes increasingly decentralized, yet the demand for clarity and consistency grows. A universal semantic layer makes data understandable for everyone from technical teams to business users, ensuring trust and alignment in the insights being delivered.
As more companies lean heavily on data for decision-making, they’re searching for ways to combine the strengths of traditional OLAP (Online Analytical Processing) with modern, cloud-native technologies. Cube Cloud bridges that gap by merging the best of both worlds: OLAP’s structured approach with the flexibility and scale of cloud data processing engines. This combination allows teams to handle both historical and real-time data with ease.
Cube Cloud’s recognition as a leader in this space shows how essential this technology has become. As businesses look for ways to unify their data and remove the friction that often comes with disconnected tools, Cube Cloud provides a solution that’s scalable, fast, and easy to implement.
How Cube Cloud Stands Out
Cube was originally founded in 2019 as an open source semantic layer project, which continues to be developed today. Our flagship, Cube Cloud is built on a strong foundation, extending the capabilities of Cube Core, as a hosted SaaS platform. It’s easy to start and scale on the major cloud providers, AWS, Azure, and Google Cloud Platform. Cube Cloud offers right-sized tiers to fit your needs and flexible infrastructure options ranging from fully-managed to Bring Your Own Cloud (BYOC).
GigaOm singled out Cube Cloud’s flexible architecture and its code-first approach, particularly when it comes to building data models. That means you can apply software engineering best practices and processes to data management: CI/CD, isolated environments, version control, and Git integration. Our code-first orientation allows you to build reusable data models and business definitions, reducing redundancy and boosting efficiency.
Cube’s platform was also acknowledged for its analytics pre-processing features, which use pre-aggregations to make queries run faster and save on cloud computing costs. Pre-aggregations, akin to roll-ups in OLAP cubes, cache summarized versions of source data, grouped by key attributes. These optimizations help accelerate your queries, ensuring faster time to insight. For those of you already leveraging Cube Cloud, you’re likely familiar with its Rollup Designer, a visual interface that allows you to create, view, and edit suggested pre-aggregations with ease.
Whether you need AI, MDX, REST, SQL, or GraphQL, Cube Cloud has you covered with strong native API support, making integration into your data stack and data consumers seamless. Cube’s APIs abstract the complexities of the underlying data structure, offering a simplified and consistent interface for developers, data analysts, and business users. This abstraction reduces the need for deep database knowledge, allowing developers to focus on building applications and data analysts and business users to focus on insights, rather than managing data access intricacies.
Read the Full Report
Cube will continue to innovate around the universal semantic layer so that you can unify and deliver trusted data to any endpoint. Cube’s recognition isn’t just about today’s data challenges; it’s about building the future of modern data architecture with a universal semantic layer that’s as adaptable as it is powerful. Thank you for being on this journey with us.
For data and app development teams looking to bring consistency across data sources and data consumers and accelerate insights, Cube Cloud’s leadership in GigaOm’s report is a clear signal of its impact and future potential. Read the full report to understand why Cube Cloud is leading the charge in the universal semantic layer and how it can benefit your team.