As of August 2026, Latka tracks 18 data virtualization software companies with $10M–$100M in annual revenue. They have combined revenues of $513.7M and employ 3.2K people. They have raised $1B and serve 2.2K customers combined.
Every company below sells data virtualization software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
Data Virtualization Software enables organizations to effectively access, manage, and integrate data across diverse sources without the need for physical data movement. This technology provides a unified view of data from multiple systems while improving data governance and accessibility. Its primary use cases include real-time data access for analytics, reporting, and decision-making processes. Common features of data virtualization solutions include data abstraction, integration capabilities, centralized data management, and user-friendly interfaces for data queries. Buyer personas typically consist of IT professionals, data analysts, and business intelligence teams looking to improve data accessibility and streamline complex workflows across various platforms. These tools are invaluable in environments where managing data proliferation and ensuring data integrity are crucial to business operations.
Sorting: Highest -> Lowest
Showing 10 of 18 companies ranked by annual revenue.
New York, New York, United States
Canoe develops an AI technology to help alternative investment firms streamline their data management processes, providing an automated solution for managing unstructured investment data.
Miami, Florida, United States
Developer of enterprise-scale data management solutions intended to deliver end-to-end data management offerings. The company offers program management, data governance, technology consulting, business process optimization and management consulting, enabling clients to grow revenue and optimize costs through the use of data, analytics and complex event processing.
Santa Clara, California, United States
Dremio is the intelligent lakehouse platform trusted by thousands of global enterprises, including Shell, TD Bank, Michelin, and Farmer’s Insurance. AI and analytics initiatives face significant delays due to the time-intensive process of dataset creation. Data engineering teams are overburdened, disconnected data sources require complex ETL processes, and prolonged iteration cycles with business stakeholders slow progress. Dremio eliminates these bottlenecks by unifying data sources without ETL, simplifying the creation of high-quality, governed datasets, and delivering autonomous performance optimization to accelerate AI. From the original co-creators of Apache Polaris and Apache Arrow, Dremio is the only lakehouse built natively on Apache Iceberg, Polaris, and Arrow - providing flexibility, preventing lock-in, and enabling community-driven innovation.
San Francisco, California, United States
Census is a data automation platform that synchronizes customer's data warehouses with business systems and tools.
Foster, California, United States
Developer of a real-time analytics platform designed to aggregate large and complex business data. The company's platform is powered by a direct data mapping engine that offers unprecedented query performance, eliminates costly join operations altogether and reduces the time required to roll out new analytics applications from months to days, enabling analysts to uncover insights from large volumes of complex data stored in core business systems.
London, England, United Kingdom
ZAP are creators of ZAP Data Hub, ELT data warehouse automation software optimized for Microsoft Dynamics, Sage and Power BI. Visit ZAP for a demo.
New York, New York, United States
Provider of operational data management and intelligence platform designed to empower people to interpret and improve the world around them. The company's platform transforms disparate, tabular data into rich representations of real-world relationships, providing a trusted source of intelligence about people, places and companies. It connects and enriches clients' internal data assets to transform their strategies and workflows, enabling businesses to remain informed and have improved daily decision making process.
Detroit, Michigan, United States
Provider of a digital infrastructure platform designed to offer open access to the world's civic data in one place, in real-time and with a uniform API. The company's digital infrastructure platform offers universal tool for data management and collaboration, integrate data from any source, map different data types and create real-time data feeds, enabling city managers to city workers to make better data-driven decisions, drive performance and manage vendors.
Latka tracks 18 data virtualization software companies with $10M–$100M in annual revenue. Together they generate $513.7M in annual revenue and employ 3.2K people.
canoeintelligence.com is the largest, with $62.6M in annual revenue, founded in 2017.
The average data virtualization software company in this list makes $28.5M a year, across 18 companies with reported revenue. They serve 2.2K customers combined.
Ranked by annual revenue, the leaders are canoeintelligence.com, Exusia, Ontop, Dremio and Census.
The 18 data virtualization software companies with $10M–$100M in annual revenue tracked here have raised $1B in disclosed funding between them.
- Must provide a virtualized data layer for abstraction and integration of data from multiple sources. - Should enable real-time access to data for analytics and reporting. - Must support centralized data governance and management functionalities. - Should have user-friendly interfaces for data querying and analysis. - Not limited to traditional data integration; must also facilitate seamless access to live data.
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