Alternatives to HEAVY.AI

A unified data analytics and AI platform built on the lakehouse architecture.

Interactive data visualization software company focused on business intelligence and analytics for all users.

A cloud-based data platform enabling data warehousing, data lakes, data engineering, and data sharing.

Pyramid Analytics offers a decision intelligence platform that empowers users with AI-augmented, automated, and collaborative insights for data-driven decision-making.

Datorama provides a global marketing intelligence platform that unifies all marketing data for enterprises, agencies, and publishers.

Data analytics and business intelligence platform for data visualization and discovery.

Business intelligence and analytics software provider enabling data-driven decision-making.

Develops data integration and analytics platforms for government and commercial clients to solve complex problems.

Unified platform for financial planning, budgeting, forecasting, and reporting.

Full-stack observability platform built on open standards for unifying telemetry and accelerating troubleshooting.

Data platform for apps and AI, unifying distributed data for analytics and AI innovation.

Global leader in decision sciences and data analytics for Fortune 500 companies.

Embeds analytics into applications and workflows for data-driven decision-making across industries.

AI-powered FinOps platform for cloud cost management and optimization, providing visibility and control over cloud and AI spend.

High-performance observability warehouse and real-time analytics platform powered by Apache Druid.

Cloud data platform for mission-critical workloads, delivering on-premises performance and security.

Fully managed ClickHouse service for high-performance analytical workloads and real-time insights.

Open-source business intelligence and embedded analytics platform.

Data science platform that proactively identifies growth opportunities from company data.

Streaming data processing hub for building, deploying, and monitoring contextual data pipelines.