Real-World Case Studies and Customer Success Stories with Cube

Cube Cloud helped SecurityScorecard cut infrastructure costs by 60%. The team reduced Snowflake requests by 2x, saving money. They moved... from Sisense to Cube Cloud for embedded analytics. Implementation took just 2 months for six dashboards. Cycle time for new analytics dropped from 1 quarter to under 2 weeks. Cube Cloud improved performance, reduced latency, and made development easier.
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Cube Cloud improved query performance for spyne from seconds to milliseconds. spyne used Cube Cloud to power embedded analytics and... an AI chatbot in their SaaS platform. The solution enabled fast, custom dashboards and natural language queries for marketing data. Customers now get instant charts and AI-driven commentary. spyne quickly built and launched these features, gaining an edge over competitors.
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Cube helped Simon Data build fast, flexible embedded dashboards for both internal and external users. Simon Data needed a seamless... analytics solution that worked with Snowflake and React, and Cube fit their stack. The team used Cube's developer tools and caching to improve dashboard performance and speed up development. They integrated Cube for secure, multi-tenant data access and rapid schema changes. This made analytics easier for marketers, developers, and sales teams.
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Cube helps Jobber deliver fast embedded analytics dashboards for over 100,000 service professionals. Jobber switched from direct database queries to... Cube, improving dashboard speed and reliability. The team uses Cube's two-level caching and external pre-aggregations to handle large data volumes. They integrated Cube with PostgreSQL and React, optimizing performance and security. Performance testing revealed CPU and memory bottlenecks, which Jobber addressed by scaling servers and tuning configurations.
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Cube Cloud replaced Looker for embedded analytics at Mobile Technology Company. The team needed to share API usage analytics with... customers but found Looker too complex and costly. Cube Cloud was easy to deploy, saving time and reducing maintenance. Two engineers built a working prototype in two to three weeks and launched a production product soon after. The solution improved speed, security, and cost-effectiveness for customer-facing analytics.
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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 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 the Linux Foundation solve slow and costly analytics. Their old tools could not handle complex data or... deliver real-time insights. With Cube Cloud, they got fast onboarding, strong support, and easy integration with GitHub. The semantic layer and pre-aggregation features improved embedded analytics and data management. Now, the Linux Foundation delivers reliable, efficient insights for open-source projects.
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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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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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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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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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Cube Cloud helped Cloud Academy speed up data modeling by 5x and cut analytics downtime by 90%. Cloud Academy, an... EdTech SaaS, needed flexible embedded analytics and seamless CI/CD integration. The team integrated Cube with AWS Redshift and React in about a month. Cube's managed caching, Git integration, and RBAC improved data consistency and security. Frequent new features and responsive support boosted their analytics platform.
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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 helped Cyndx simplify embedded dashboards for financial users. Cyndx used Cube with React and Google BigQuery to deliver fast,... customizable analytics. The team built a demo in one day and went live in October 2020. Self-hosting Cube let Cyndx control security and match their platform's look. Cyndx plans to offer self-serve analytics for deeper client insights.
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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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Cube helped FeedMe cut BigQuery costs by about two-thirds. FeedMe, a food and beverage POS provider, needed better reporting for... their customers. Their old system was hard to maintain and slow. With Cube, they migrated data schemas and used pre-aggregations and Cube Store. Now, sales data queries that took minutes run in less than 10 seconds. FeedMe uses Cube for embedded analytics and custom reports.
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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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Cube helps Gadsme deliver fast, embedded analytics dashboards to clients in the gaming and e-sports industry. Gadsme uses Cube's pre-aggregations... and Cube Store to speed up data loading and control analytics costs. The team built a GraphQL proxy on top of Cube's REST API for secure data access. Gadsme contributed to Cube's GraphQL API and Helm Charts. Cube enables Gadsme to serve millions of ad events daily with reliable reporting.
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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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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's semantic layer helped Alcon, a global eye care leader, solve metric inconsistency and slow analytics. Alcon used Cube to... centralize data models and enforce access control, meeting strict HIPAA and GDPR rules. The Agentic Analytics platform let users ask questions beyond dashboards, cutting development effort. Consistent KPI answers from GenAI matched Tableau dashboards, building trust. Alcon reduced AI risk and improved governance with Cube's unified platform.
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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 analytics. The team uses Cube Data Schema and Cube API to power their Real World Analytics product. They achieved faster query response times and better performance with in-memory cache and pre-aggregations. COTA leverages Cube to support cancer research and improve patient care.
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Cube helped ShopBack cut query load times from 50 seconds to under 5 seconds using pre-aggregations and indexing. ShopBack, a leading... e-commerce rewards platform, needed fast embedded analytics for millions of users and thousands of merchants. They chose Cube for its OLAP capabilities and easy integration with Postgres and React. The team optimized performance by refining pre-aggregations and caching with Redis. ShopBack continues to improve analytics speed and user experience with Cube.
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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 Cloud helped a Fortune 500 manufacturing company manage data from 50 plants and 500,000 sensors. The company switched from... Power BI to Cube Cloud for faster query performance and better scalability. Cube Cloud's multi-cluster deployment and pre-aggregations improved analytics speed and reduced costs. Real-time data alerts prevented equipment failures and saved up to $100,000 on a single motor. The support team at Cube Cloud provided proactive help and optimization.
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Cube Cloud improved Quantatec's fleet management analytics. Before Cube, Quantatec struggled with slow, static reports and database overload. Cube's pre-aggregation... and caching cut query times from seconds to milliseconds. Fleet managers now create custom dashboards easily. Natural language AI queries let users ask questions and get instant answers. Cube's semantic layer ensures secure, accurate analytics for automotive tracking.
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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 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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Cube Cloud helped RamSoft deliver a native embedded analytics solution in just two weeks. RamSoft needed a customizable analytics platform... for their Root product, with strong security and multi-tenant support. Cube’s universal semantic layer and SQL API enabled fast integration and a custom React UI. The team launched ahead of schedule, improving analytics for healthcare operations. RamSoft later migrated to Microsoft Fabric with ease, thanks to Cube’s flexible architecture.
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