The Best Cloud-Based Analytics Companies in the USA

Mobian is a mobile application development company operating in the U.S. and Europe, delivering end-to-end solutions for businesses aiming to strengthen their digital presence. Beyond building custom mobile apps, we integrate cloud-based analytics into our platforms, giving our clients access to real-time user data, performance insights, and behavior patterns. This approach helps businesses not only launch functional apps but also better understand user interactions, which supports ongoing improvements and informed decisions.

We work with clients in industries like fintech and medtech, developing apps that simplify customer interactions, streamline service ordering, and boost engagement. By embedding cloud-based analytics, we enable businesses to track usage trends, monitor engagement metrics, and refine app performance through a single dashboard. This empowers teams to respond quickly to insights and adjust their strategies with confidence. At Mobian, our process brings together deep technical skill, thoughtful design, and data intelligence to deliver scalable mobile experiences with built-in analytics capabilities.

Key Highlights:

• U.S.-based development with cross-industry experience
• Combines mobile apps with cloud-based analytics features
• Offers real-time data tracking and performance insights
• Tailored platforms for medtech, fintech, and service industries
• Supports interactive, branded user experiences

Services:

• Custom mobile app design and development
• Android and iOS support with cross-platform capabilities
• Cloud-based analytics integration and reporting
• In-app service ordering, user accounts, and engagement tools
• Post-launch maintenance and performance optimization

Contact and Social Media Information:

• Website: mobian-new
• Email: info@mobian-new
• LinkedIn: www.linkedin.com/company/themobian

Sigma Computing is a U.S.-based cloud analytics company that provides a business intelligence platform designed for both technical and non-technical users. Headquartered in San Francisco, California, the company focuses on making cloud data analysis accessible through a familiar spreadsheet-style interface. This approach allows teams across departments to interact with large datasets directly in the browser without writing code, helping to close the gap between data engineers and business teams. By connecting directly to cloud data warehouses like Snowflake, BigQuery, Redshift, and Databricks, Sigma supports real-time exploration and analysis with no data movement.

Sigma’s platform is designed for scalability, governance, and collaboration. It allows multiple users to work together in real time while maintaining strict data controls. In the U.S., Sigma supports organizations across a range of industries including finance, healthcare, retail, and technology. Their services help businesses build dashboards, generate reports, create embedded analytics, and develop data applications tailored to specific workflows. With support for Python, SQL, and AI-powered features, Sigma aims to give U.S. businesses the tools to turn raw data into practical insights quickly and securely.

Key Highlights:

• U.S.-based headquarters in San Francisco
• Cloud-native platform with spreadsheet interface
• Connects to leading cloud data warehouses
• Real-time data access and collaboration
• Designed for both business and technical users

Services:

• Business intelligence and analytics
• Cloud data exploration and visualization
• Dashboard and report creation
• Embedded analytics for customer-facing apps
• AI-powered query and analysis tools
• Custom data applications and workflows for U.S. industries

Contact and Social Media Information:

• Website: www.sigmacomputing.com
• Address: 116 New Montgomery St., Suite 700, San Francisco, CA 94105
• LinkedIn: www.linkedin.com/company/sigmacomputing
• Facebook: www.facebook.com/sigmacomputing/
• Twitter/X: x.com/sigmacomputing

Qlik is a data analytics and business intelligence company that provides cloud-based tools to help organizations make informed decisions using real-time data. Headquartered in King of Prussia, Pennsylvania, Qlik offers a suite of products designed to make data accessible for users across departments, regardless of their technical skill level. At the core of its offering is the Qlik Analytics Engine, which uses associative indexing to allow users to freely explore and interact with data. This engine differs from traditional query-based systems by enabling a more flexible, context-aware approach to analysis.

In the U.S., Qlik supports a wide range of industries, including healthcare, public sector, finance, retail, and manufacturing. Their platform is built to work across cloud and on-premises environments, giving organizations the freedom to manage and analyze data on their own terms. With support for generative and predictive AI, Qlik also helps users uncover patterns, forecast trends, and automate responses to key business events. The platform integrates with many popular data sources and cloud providers, making it a versatile choice for U.S. companies looking to scale data-driven decision-making.

Key Highlights:

• U.S. headquarters in Pennsylvania
• Uses associative engine for flexible data exploration
• Built-in generative and predictive AI tools
• Supports hybrid cloud and on-premises deployments
• Integrates with a wide range of platforms and applications

Services:

• Cloud and on-premises analytics
• AI-powered data insights and predictions
• Embedded and mobile analytics
• Real-time monitoring and alerts
• Integration with third-party data platforms and tools

Contact and Social Media Information:

• Website: www.qlik.com
• Phone: +1 (833) 443-7545
• Address: 211 South Gulph Road, Suite 500, King of Prussia, PA 19406, United States
• LinkedIn: www.linkedin.com/company/qlik
• Facebook: www.facebook.com/qlik
• Twitter/X: x.com/qlik

IBM offers a wide range of cloud analytics solutions through its IBM Cloud platform, helping organizations gain insight from structured and unstructured data. These services are designed for flexible deployment across cloud, on-premises, or hybrid environments, which allows businesses to tailor solutions to fit their infrastructure. IBM integrates analytics tools with machine learning capabilities, enabling users to build models, analyze trends, and apply real-time insights across their operations. Their tools are built to support large datasets, providing scalability and performance for growing data needs.

IBM’s analytics offerings include services such as IBM Analytics Engine, Apache Spark, IBM Streams, and Master Data Management. These tools support real-time analysis, data integration, and governance. In the U.S., IBM supports clients across healthcare, government, finance, and manufacturing sectors. Their analytics services help organizations connect teams, improve decision-making, and speed up the delivery of actionable insights. By combining data streaming, cloud-native processing, and machine learning, IBM helps businesses explore new ways to act on data and improve outcomes.

Key Highlights:

• Based in the U.S. with a long history in enterprise tech
• Supports cloud, on-premises, and hybrid deployments
• Real-time streaming data insights with IBM Streams
• Built-in machine learning and cognitive tools
• Tools for data governance and integration

Services:

• Cloud-based and hybrid analytics solutions
• Real-time data streaming and processing
• Machine learning model development and deployment
• Master data management and governance
• Scalable compute and storage for big data analytics

Contact and Social Media Information:

• Website: www.ibm.com
• Phone: 1-800-426-4968
• Address: 1 New Orchard Road, Armonk, New York 10504-1722, United States
• LinkedIn: www.linkedin.com/company/ibm
• Instagram: www.instagram.com/ibm
• Twitter/X: x.com/ibm

Teradata is a U.S.-based company that provides cloud analytics and data platforms designed to support enterprise-scale data processing and artificial intelligence. Known for its hybrid cloud capabilities, Teradata offers businesses the flexibility to manage data across on-premises, public, and private cloud environments. The company’s platform, VantageCloud, is built to unify data sources, streamline analytics, and enable AI-driven insights at scale. Its architecture supports elastic scaling, allowing organizations to adjust resources as needed while maintaining performance and cost control.

Teradata’s analytics tools are used by a wide range of industries in the U.S., including transportation, retail, finance, and healthcare. Through its ClearScape Analytics suite, the company supports everything from data engineering to AI/ML model development. Teradata’s platform is designed to help data scientists, business analysts, and decision-makers access and act on data faster. With partnerships across major cloud providers like AWS, Azure, and Google Cloud, Teradata enables companies to build secure, scalable analytics solutions tailored to their operational needs.

Key Highlights:

• Headquartered in the U.S. with global enterprise reach
• Offers hybrid and multi-cloud data platform options
• Integrated AI/ML capabilities through ClearScape Analytics
• Designed for large-scale data workloads and governance
• Works with leading cloud providers like AWS and Google Cloud

Services:

• Cloud analytics and data platform (VantageCloud)
• AI/ML model development and integration
• Hybrid cloud data management
• Data unification and harmonization tools
• Scalable performance optimization for big data workloads

Contact and Social Media Information:

• Website: www.teradata.com
• Phone: 1-866-837-2328
• Address: 17095 Via del Campo, San Diego, CA 92127
• LinkedIn: www.linkedin.com/company/teradata
• Facebook: www.facebook.com/Teradata
• Instagram: www.instagram.com/teradata
• Twitter/X: x.com/teradata

Quantum Corporation offers a cloud-based analytics platform focused on real-time monitoring and predictive operations for its range of storage and data management products. Their Cloud-Based Analytics (CBA) service allows users to track system health, usage, and performance through a centralized web portal. By collecting telemetry data from Quantum products, CBA helps identify patterns and potential issues before they lead to downtime. This data is processed in the cloud and presented in a visual format that simplifies analysis for both internal IT teams and external service providers.

The CBA platform supports a wide array of Quantum hardware and software, providing insights into storage utilization, system performance, and licensing details. It also features remote diagnostic capabilities that reduce the need for manual troubleshooting and cut down on operational costs. Based in the U.S., Quantum’s analytics services are used by businesses seeking greater visibility into their infrastructure and faster resolution of technical problems. The platform is designed to improve IT operations by combining monitoring, automation, and support tools in one accessible interface.

Key Highlights:

• U.S.-based company specializing in storage and data management
• Real-time analytics platform tailored to Quantum products
• Web-based dashboard for monitoring and diagnostics
• Predictive tools help reduce unplanned downtime
• Integrated with the MyQuantum service platform

Services:

• Cloud-based monitoring for Quantum systems
• Predictive analytics and issue detection
• Hardware and software inventory reporting
• Remote diagnostics and support integration
• Capacity and performance trend analysis

Contact and Social Media Information:

• Website: www.quantum.com
• Phone: 408-944-4000
• Address: 224 Airport Parkway, Suite 550, San Jose, CA 95110
• LinkedIn: www.linkedin.com/company/quantum
• Facebook: www.facebook.com/quantumcorp
• Twitter/X: x.com/QuantumCorp

GoodData is a cloud-based analytics company that offers a flexible platform for building and deploying intelligent data applications. Headquartered in the United States, GoodData serves organizations looking to integrate advanced analytics into their digital products, services, and workflows. The platform is designed to support users with varying technical skills, from engineers and data analysts to business users, through a combination of code-based and drag-and-drop tools. It enables real-time decision-making with features like AI-supported discovery, automated forecasting, and embedded analytics.

The platform includes tools for data visualization, multitenant scaling, and performance optimization through an in-memory data service layer. In the U.S., GoodData works with businesses in industries like finance, healthcare, retail, and technology to help them deliver data where it’s most useful—whether inside customer-facing applications or internal dashboards. With support for cloud, on-premises, and hybrid deployments, GoodData gives teams control over their infrastructure while enabling cost-effective, scalable analytics solutions.

Key Highlights:

• U.S.-based analytics platform with flexible deployment options
• Supports AI, ML, and real-time analytics through user-friendly interfaces
• Embeds analytics directly into applications and digital products
• Offers tools for data monetization and tiered insights
• Includes automation and Analytics-as-Code capabilities

Services:

• Custom data application development
• Embedded and headless business intelligence
• AI-assisted analytics and forecasting
• Analytics-as-Code workflows and automation
• Query acceleration and in-memory data processing
• Cloud, on-premises, and hybrid deployment support

Contact and Social Media Information:

• Website: www.gooddata.com
• Phone: (415) 200-0186
• Address: 333 Kearny Street, Floor 2, San Francisco, CA 94108, USA
• LinkedIn: www.linkedin.com/company/gooddata
• Facebook: www.facebook.com/gooddata
• Twitter/X: x.com/gooddata

Alteryx is a U.S.-based cloud analytics company offering a unified platform that combines analytics automation, data preparation, and generative AI capabilities. Their platform, Alteryx One, is designed to help users prepare, analyze, and share data insights through self-service, low-code, and AI-guided tools. With support for drag-and-drop interfaces as well as natural language input, Alteryx enables users across departments and skill levels to work with data without relying heavily on engineering resources.

The platform is structured for deployment across cloud, hybrid, and on-premises environments. In the U.S., Alteryx serves a wide range of industries including healthcare, financial services, retail, and public sector. Their services help businesses access data from sources like SAP, Salesforce, and major cloud platforms such as Snowflake, AWS, and Google Cloud. Alteryx also supports large-scale data workflows, automation, and governance, giving organizations the ability to scale insights and streamline operations while maintaining security and compliance.

Key Highlights:

• Headquartered in the U.S. with cross-industry reach
• Combines AI, machine learning, and analytics automation
• Supports code-free and low-code data workflows
• Integrates with major cloud platforms and enterprise systems
• Offers scalable deployment for cloud, on-prem, or hybrid

Services:

• AI-guided analytics and natural language interfaces
• Data preparation, cleansing, and enrichment
• Predictive modeling and trend analysis
• Automated workflows and scheduling
• Enterprise data governance and security
• Integration with cloud and on-prem data platforms

Contact and Social Media Information:

• Website: www.alteryx.com
• Phone: +1 888 836 4274
• Email: corpdev@alteryx.com
• Address: 3347 Michelson Drive, Suite 400, Irvine, CA 92612
• LinkedIn: www.linkedin.com/company/alteryx
• Facebook: www.facebook.com/alteryx
• Twitter/X: x.com/alteryx

Zoho Analytics is a cloud-based business intelligence and analytics platform developed by Zoho Corporation, a U.S.-based company with a global presence. The platform offers a full suite of tools that help organizations turn raw data into actionable insights through AI-assisted features and self-service capabilities. It supports cloud, on-premise, and hybrid deployments, allowing businesses to choose the environment that best suits their needs. Zoho Analytics is designed to be accessible to a wide range of users, from technical data professionals to non-technical business teams, offering both drag-and-drop interfaces and code-based customization.

Zoho Analytics enables seamless integration with a large library of data sources, including popular cloud storage services, databases, and business applications. In the U.S., it serves a variety of industries such as e-commerce, finance, healthcare, and marketing. Its platform supports data preparation, visualization, predictive modeling, and report sharing, all within a single interface. Additionally, it provides tools for building embedded analytics, giving businesses the flexibility to offer custom dashboards and insights within their own products or services.

Key Highlights:

• Headquartered in the U.S. with global accessibility
• Cloud, on-premise, and hybrid deployment support
• Designed for both technical and non-technical users
• Offers AI-assisted data analysis and reporting
• Integrates with a wide range of business data sources

Services:

• Business intelligence and dashboard creation
• AI-powered data preparation and insights
• Predictive analytics and anomaly detection
• Embedded analytics for third-party apps and portals
• Secure sharing and collaboration tools
• Custom reporting and visualizations

Contact and Social Media Information:

• Website: www.zoho.com
• Phone: +1 877 834 4428
• Email: sales@eu.zohocorp.com
• Address: 979 Springdale Rd, Suite 123, Austin,TX 78702
• LinkedIn: www.linkedin.com/showcase/zohoanalytics
• Facebook: www.facebook.com/zoho
• Twitter/X: x.com/zohoanalytics

SAS is a U.S.-based analytics and artificial intelligence company that provides cloud-native solutions for data management, advanced analytics, and industry-specific applications. Their flagship platform, SAS Viya, offers organizations the tools to prepare, visualize, and analyze data in real time across various cloud environments. Built for flexibility, Viya can be deployed on Microsoft Azure, Google Cloud, AWS, or within self-managed infrastructures, making it adaptable to a wide range of business and IT needs.

SAS supports businesses across finance, healthcare, manufacturing, and the public sector in the U.S. with domain-specific AI and machine learning solutions. These include fraud detection, risk management, marketing analytics, and IoT analysis. SAS emphasizes responsible AI with a focus on transparency, governance, and trust. Their integrated tools are designed to help users of all technical levels understand their data and make better decisions. The platform combines predictive capabilities with real-time insights to support fast and informed action across the enterprise.

Key Highlights:

• Headquartered in the U.S. with decades of industry experience
• Flexible deployment options across major cloud platforms
• Focuses on transparent, responsible AI and governance
• Offers specialized solutions for fraud, risk, and IoT
• Viya platform supports users at all skill levels

Services:

• Cloud-native analytics and AI platform (SAS Viya)
• Industry-specific data and AI solutions
• Fraud detection and risk management tools
• Real-time data visualization and reporting
• Machine learning and predictive modeling
• Support for multi-cloud and hybrid environments

Contact and Social Media Information:

• Website: www.sas.com
• Phone: +1-800-727-0025
• Address: 100 SAS Campus Drive, Cary, NC 27513-2414, USA
• LinkedIn: www.linkedin.com/company/sas
• Facebook: www.facebook.com/SASsoftware
• Twitter/X: x.com/SASsoftware

Domo is a U.S.-based cloud analytics and data platform company that helps businesses connect, prepare, visualize, and act on their data with AI support integrated throughout the process. Its platform is designed to unify data from across systems and teams, allowing for real-time exploration, reporting, and decision-making. Built with flexibility in mind, Domo offers tools for business intelligence, data integration, workflow automation, and embedded analytics, all within a centralized environment.

The platform supports a wide range of data sources, including cloud storage, databases, APIs, and applications such as Salesforce, Snowflake, and AWS. Domo’s AI features include custom agents, natural language querying, and AI-assisted workflows, all designed to help teams quickly identify trends, optimize operations, and make informed decisions. In the U.S., companies across industries use Domo to move beyond traditional dashboards and build scalable, intelligent data products that are accessible from anywhere and on any device.

Key Highlights:

• U.S.-based company for end-to-end cloud analytics
• Combines AI, BI, and workflow automation
• Connects to a wide range of cloud and enterprise data sources
• Supports custom AI agents and embedded analytics
• Enables low-code data experiences and self-service access

Services:

• Business intelligence and data visualization
• Data integration and preparation from multiple sources
• AI-assisted insights and automation workflows
• Embedded analytics for internal and customer-facing platforms
• Custom AI agents and real-time data access tools

Contact and Social Media Information:

• Website: www.domo.com
• Phone: 800.899.1000
• Email: info@domo.com
• Address: 802 E. 1050 South, American Fork, UT 84003
• LinkedIn: www.linkedin.com/company/domo-inc-
• Facebook: www.facebook.com/domoHQ
• Instagram: www.instagram.com/domo
• Twitter/X: x.com/domotalk

Bedrock Analytics is a U.S.-based company specializing in cloud-based data analytics for the consumer packaged goods (CPG) industry. Their platform is built to help manufacturers transform retail data into actionable sales insights, empowering teams to make data-driven decisions that drive growth and improve retail execution. Designed specifically for CPG businesses, Bedrock combines data integration, visualization, and storytelling tools in one centralized solution that simplifies the complexity of CPG data.

With a focus on sales analytics, Bedrock enables users to analyze retailer performance, identify opportunities, and create compelling narratives supported by data. The platform is used by CPG brands across a wide range of product categories and retail channels in the U.S. It helps sales, marketing, and insights teams present findings to retailers in a format that is both informative and persuasive. Bedrock’s cloud-based model allows for quick access, collaboration, and scalability, making it easier for teams to turn raw data into impactful stories.

Key Highlights:

• U.S.-based platform focused on CPG sales analytics
• Designed to help manufacturers analyze and present retail data
• Combines data visualization with business storytelling tools
• Supports collaboration between sales and insights teams
• Cloud-based for flexible and scalable access

Services:

• Sales analytics and performance tracking
• Data integration and visualization for CPG metrics
• Retail presentation and storytelling tools
• Insights generation and opportunity identification
• Collaboration features for internal and external teams

Contact and Social Media Information:

• Website: www.bedrockanalytics.com
• Phone: +1 800 646 7641
• Email: info@bedrockanalytics.com
• Address: 350 Frank Ogawa Plaza, Suite 500, Oakland, CA, US, 94612
• LinkedIn: www.linkedin.com/company/bedrock-analytics
• Facebook: www.facebook.com/Bedrock.Analytics
• Instagram: www.instagram.com/bedrockanalytics
• Twitter/X: x.com/bedrockanalytic

Cloud-based analytics companies in the U.S. are transforming how organizations manage, understand, and act on their data. From business intelligence platforms to industry-specific solutions, these companies offer powerful tools that help businesses of all sizes make smarter, faster decisions. Whether it’s through real-time dashboards, predictive modeling, or AI-driven insights, cloud-based analytics is making data more accessible and actionable across every industry.

As data continues to grow in volume and complexity, the demand for flexible, secure, and scalable analytics platforms will only increase. The companies featured in this article are not just keeping pace, they’re helping shape the future of data intelligence. For organizations looking to modernize operations, gain a competitive edge, or simply work more efficiently, partnering with a cloud-based analytics provider can be a game-changing step forward.