List of HeavyDB Customers
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Since 2010, our global team of researchers has been studying HeavyDB customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased HeavyDB for Database Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using HeavyDB for Database Management include: Verizon, a United States based Communications organisation with 99400 employees and revenues of $134.79 billion, Telus, a Canada based Communications organisation with 106800 employees and revenues of $14.47 billion, Entel, a Chile based Communications organisation with 12132 employees and revenues of $2.87 billion and many others.
Contact us if you need a completed and verified list of companies using HeavyDB, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Entel | Communications | 12132 | $2.9B | Chile | HEAVY.AI (formerly OmniSci) | HeavyDB | Database Management | 2020 | n/a |
In 2020, Entel implemented HeavyDB to accelerate geotemporal network analytics and interactive mapping, selecting HEAVY.AI to analyze billions of rows of telecom data across Chile. HeavyDB serves as the Database Management platform for interactive network analytics and marketing dashboards supporting network planning and customer experience functions.
The deployment centers on HEAVY.AI's GPU accelerated HeavyDB engine and integrated geospatial visualization capabilities, configured to support geotemporal queries, spatial analytics, and high performance map rendering for antenna level analysis. Configuration prioritized interactive query performance and visualization modules to enable rapid drill down into coverage patterns and site level performance.
Operational scope spans network operations and marketing teams across Chile, delivering map based insights to identify network pain points and prioritize antenna upgrades. The implementation ingests and processes billions of rows of telecom data to provide interactive visual analytics for operational decision making.
Governance and rollout emphasized delivering faster map based insights, consistent with the July 2020 announcement that the engagement would improve customer satisfaction by extending best in class mobile operations. The implementation delivered interactive mapping and analytics capabilities over large telecom datasets, enabling network and marketing stakeholders to prioritize upgrades and respond to customer experience issues.
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Telus | Communications | 106800 | $14.5B | Canada | HEAVY.AI (formerly OmniSci) | HeavyDB | Database Management | 2020 | n/a |
In 2020, Telus implemented HeavyDB to support Database Management for geotemporal market-sizing and map-based analytics across Canadian communities. The publicly available case summary notes Telus leverages HEAVY.AI's geotemporal analytics and visualization stack, which implies HeavyDB is used for high-performance geospatial processing to power interactive visualizations and analytical layers.
The implementation centers on interactive market-sizing and map-based tools that overlay competitor speeds, network coverage, and customer trouble metrics, using HeavyDB to execute high-throughput geospatial joins and time-series spatial queries. HeavyDB supports interactive dashboards and visualization layers that enable rapid slicing and dicing of coverage and customer incident data, consistent with Database Management functional workflows for geospatial indexing, query acceleration, and visualization-driven analysis.
Operational scope included marketing targeting and network planning teams across Canadian communities, with business functions impacted including marketing targeting, network planning, upsell identification, and build or coverage decision support. The case summary indicates the deployment accelerated marketing targeting and network planning and improved visibility into upsell and build coverage decisions, with HeavyDB serving as the core Database Management engine for geotemporal and map-driven analytics.
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Verizon | Communications | 99400 | $134.8B | United States | HEAVY.AI (formerly OmniSci) | HeavyDB | Database Management | 2020 | n/a |
In 2020, Verizon deployed HeavyDB to monitor network reliability and rapidly visualize mobility and traffic flow changes during the COVID 19 pandemic. HeavyDB was used as a Database Management platform to support large scale geospatial and temporal analytics on telecom network telemetry.
Verizon leveraged HeavyDB's GPU accelerated query engine and GeoSQL capabilities together with immersive visualization to render near real time mobility and traffic flow maps. The implementation emphasized spatial SQL processing, high concurrency geospatial queries, and rapid visual exploration to surface capacity stress points. These functional modules supported ad hoc analysis and operational dashboards for network planners.
Operational coverage spanned the U.S. telecom network, ingesting mobility and traffic flow telemetry to enable network reliability monitoring and capacity planning workflows. Business functions impacted included network operations and network planning, where teams used HeavyDB to identify emerging bottlenecks and prioritize targeted capacity investments. The deployment focused on visualization driven identification of capacity issues rather than traditional batch reporting.
Governance and rollout centered on cross functional workflows between network reliability and planning teams, operationalizing visualization driven decision making for targeted investments. Public HEAVY.AI materials describe Verizon leveraging HeavyDB and immersive visualization for telco network reliability and planning use cases.
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