Real-World Case Studies and Customer Success Stories with Cube

Qualibrate used Cube Semantic Layer to improve analytics and dashboard reporting for their SaaS platform. They wanted to give users... advanced reporting and easy dashboards, but needed a solution that worked with Vue.js. Cube helped them connect their MongoDB data and build custom analytics features. The team matched React components to Vue.js and worked with the Cube community. This made their reporting tools better and easier for users.
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Cube helped Cyndx make dashboards easier for financial users. Cyndx needed better analytics and tried many BI tools, but Cube... worked best with their AI and React setup. The team set up Cube quickly and liked that they could self-host for security. With Cube, Cyndx made custom dashboards and improved user experience. Now, Cyndx plans to let users build their own analytics using Cube.
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Relata used Cube to build native embedded analytics for their SaaS platform. Before Cube, Relata struggled with slow, inflexible BI... tools and iframe-based dashboards. With Cube, they gained full control over data modeling, dashboard versioning, and performance. The team built a custom analytics dashboard that runs 55% to 85% faster than before. Users gave very positive feedback on the new experience.
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Cube Cloud helped SecurityScorecard improve analytics for their SaaS platform. They switched from Sisense to Cube Cloud for embedded analytics.... The change cut their infrastructure costs by 60%. They reduced Snowflake requests by 2x, saving money. Report cycle times dropped from one quarter to under two weeks. SecurityScorecard now enjoys faster performance, lower latency, and easier development with Cube Cloud.
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Simon used Cube to build fast, flexible, and stable embedded dashboards for both internal and external users. Simon faced challenges... with complex data schemas and the need for easy-to-use analytics for marketers and developers. They chose Cube for its seamless integration with their stack, support for Snowflake and React, and strong developer tools. Cube helped Simon streamline analytics development, improve dashboard performance, and simplify deployment. This led to better user experiences and more efficient analytics operations.
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Cube Cloud helped Quantatec improve their fleet management platform, Movias. Before Cube, Quantatec struggled with slow, static reports and database... performance issues. Cube's pre-aggregation and caching made queries much faster, reducing response times from seconds to milliseconds. Fleet managers can now create custom dashboards easily. The addition of a natural language AI chatbot lets users ask questions and get instant answers. This improved customer experience and made analytics more accessible.
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Cube helped Breakthrough speed up their analytics and reporting. Before Cube, their dashboards loaded slowly and new features took months... to release. With Cube as the semantic layer, they now define metrics in one place and share them across products. This change cut feature release time from months to days. Dashboard load times improved, and more users can access data quickly. Breakthrough plans to expand Cube to more products for faster growth.
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Cube Cloud helped spyne improve their embedded analytics and AI chatbot features. spyne needed fast, integrated dashboards for marketers and... agencies. With Cube Cloud, they accelerated BigQuery queries from seconds to milliseconds. The team built a custom dashboard builder and added AI features using OpenAI. Customers now get instant charts and AI commentary from their data. spyne quickly launched new features and improved customer experience.
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Perch Insights used Cube Cloud to improve their AI-driven customer experience analytics. They needed a universal semantic layer to unify... data and support dashboards, AI copilots, and workflows. Before Cube Cloud, they struggled with data consistency, multi-tenant analytics, and managing multiple semantic layers. Cube Cloud provided a flexible, governed solution that standardized metrics and improved data security. This helped Perch Insights deliver consistent, scalable, and secure CX analytics across all their tools.
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Cube helped Cloud Academy speed up data modeling by 5x and cut analytics downtime by 90%. Cloud Academy needed a... flexible, managed analytics platform for embedded analytics and data modeling. The team chose Cube for its caching, Git integration, and zero-downtime deployments. Ten engineers onboarded Cube in a month and delivered the first analytics app in less than three weeks. Cube's features improved release speed, reduced downtime, and made monitoring easier for Cloud Academy.
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Cube Cloud helped Cloud Academy deliver data insights 70% faster. Cloud Academy needed better analytics and faster data modeling. They... switched to Cube Cloud for embedded analytics and flexible data modeling. The team integrated Cube Cloud in about a month and released their first app in less than 3 weeks. They saw a 5x increase in speed for new data model releases and 90% less analytics downtime. Security features protected user data and allowed safe sharing of insights with internal teams.
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Schoolytics used Cube Cloud to improve their embedded analytics and AI insights for schools. They faced challenges with scaling and... maintaining their custom analytics solution. By switching to Cube Cloud, they gained better performance, stability, and scalability. Query times dropped from minutes to seconds. Analysts can now update data models quickly, saving time and freeing up engineers. Schoolytics now supports over 60 school districts with AI-driven educational insights.
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FeedMe uses Cube to help users create custom reports for their POS system. Before Cube, FeedMe struggled with slow and... hard-to-maintain reporting using SQL and JavaScript. They switched to Cube and migrated their data schema in phases. With Cube’s pre-aggregations and Cube Store, FeedMe cut BigQuery costs by about two-thirds. Report queries that once took minutes now take less than 10 seconds. FeedMe also values Cube’s flexible caching and strong community support.
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Cube helped Cuboh speed up customer report times. Cuboh had trouble with slow reporting for large data sets. They used... Cube for its caching and database compatibility. After using Cube, report times dropped from tens of seconds to less than 2 seconds. The team also saved 14 weeks of engineering time.
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Gadsme uses Cube to give clients access to data with embedded dashboards. Gadsme needed a way to show analytics like... ad requests and impressions to their clients. They chose Cube for its fast data access and cost control. Gadsme stores millions of events in BigQuery and uses Cube’s pre-aggregations to speed up dashboards. Moving to Cube Store made dashboards load faster for clients. Gadsme also contributed to Cube’s GraphQL API and improved deployment with Helm Charts.
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Cube’s universal semantic layer helped Pressboard solve data management challenges. The team faced slow reporting and developer backlogs due to... custom SQL and lack of unified data. Cube enabled seamless integration, improved data governance, and faster reporting. Developer productivity increased, and clients gained more customization and better analytics. The platform now supports ad-hoc analysis and data exports, making it more valuable for users.
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SamCart used Cube Cloud to improve their business intelligence and reporting. They faced slow dashboard load times and data inconsistencies... as their customer base grew. By integrating Cube with Snowflake and dbt Labs, they centralized data models and sped up query times. Pre-aggregations in Cube reduced some query times from 20 seconds to 1.1 seconds, with an average of 600 milliseconds. This led to faster dashboards, fewer support requests, and better data accuracy for SamCart's users.
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Cube Cloud helped Webflow deliver embedded analytics for both internal and external users. Webflow needed a way to give teams... consistent, scalable access to data. They chose Cube Cloud for its performance, flexibility, and easy integration with their tech stack. With Cube Cloud, Webflow improved data accessibility and governance. Real-time analytics became faster, and teams could focus on innovation instead of data issues.
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Ternary uses its FinOps platform to help Google Cloud customers manage and analyze large volumes of cost data. The challenge was... to present complete and accurate customer-generated data at scale, especially when dealing with thousands of projects and high data limits. Ternary implemented a 3-query approach to focus on the most important data points and group less significant data into an 'other' column. This method ensures users see the most relevant cost information while maintaining data accuracy and usability.
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Cube Cloud helped The Linux Foundation improve embedded analytics for their open-source projects. Before Cube, their data tools were slow,... costly, and hard to manage. With Cube Cloud, they reduced operational overhead and made data integration easier. The Linux Foundation now gets faster, more reliable insights using Cube's semantic layer. The team found onboarding simple and support from Cube very helpful.
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ShopBack used Cube to build custom embedded analytics for their e-commerce platform. They needed to analyze large volumes of transaction... data and deliver dashboards for both internal and merchant users. By implementing Cube with pre-aggregations and indexing, ShopBack reduced their p95 query loading time from 50 seconds to under 5 seconds. This improved user experience and allowed them to scale analytics across nine countries and millions of users.
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Jobber uses Cube to power high performance embedded dashboards for its customers. Jobber needed faster dashboards as their business grew... and data increased. They chose Cube for its two-level caching and external pre-aggregations, which improved dashboard speed. The team integrated Cube with their PostgreSQL backend and React frontend. They also used Docker and added tests for schema validation. Performance testing helped Jobber optimize server resources and improve dashboard reliability for over 100,000 service professionals.
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Cube Cloud helped a Fortune 500 Manufacturing Company manage huge amounts of sensor data from 50 plants. The company faced... slow query speeds and high costs with traditional BI tools. Cube Cloud's multi-cluster deployment and pre-aggregations improved query speed and scalability. The company now uses real-time analytics to predict equipment failures and save on maintenance costs. They avoided $100k+ in potential losses by catching issues early. The support from Cube Cloud was a key factor in their success.
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Cube Cloud helped Scoot Science improve their embedded analytics for ocean data. Scoot Science used to struggle with complex data... and slow performance. They switched from Cube Core to Cube Cloud to reduce maintenance and make their work easier. The new system gave them better monitoring, easier data management, and a user-friendly interface. Now, Scoot Science can deliver real-time insights and help fish farms manage ocean risk more effectively.
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Cube helps COTA create a single source of truth for healthcare data. COTA replaced Qlik and Tableau with Cube to... save development time and improve data access. The team uses Cube Data Schema and API to power their Real World Analytics product. They achieved better performance with in-memory cache and pre-aggregations. The MVP release took about 6-8 months with a small team. COTA uses Cube to support cancer research and improve patient care.
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Cube helped Drata automate and scale analytics for customer success. Drata's team saved 20–30 hours per quarter per CSM by... switching from manual QBR creation to AI-driven analytics. Cube's semantic layer unified data, improved consistency, and enabled intelligent storytelling. Drata now delivers tailored insights and builds stronger client trust. The solution supports both API and AI-powered workflows for scalable, data-driven decision making.
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sublimd used the Cube semantic layer to build custom client dashboards for hospitals. They needed an easier way to control... customer configuration and ship ready-to-use analytics to non-technical users. Cube fit their tech stack and allowed seamless integration with their software. The Cube team provided strong support during the process. The new analytics module now helps hospitals see important information about their processes.
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Cube Cloud helped a mobile technology company replace Looker for customer-facing embedded analytics. The company needed to share API usage... analytics with customers but found Looker too complex and costly. Cube Cloud was easy to deploy and maintain, saving the team time and effort. With just two engineers, they built a working prototype in two to three weeks and went live soon after. Cube Cloud improved speed, security, and cost-effectiveness for their analytics needs.
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