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§ Private Profile · Reston, VA, USA
Zoomdata is a technology company.
Zoomdata delivers a sophisticated visual analytics platform focused on real-time data visualization. Its core product facilitates robust exploration of big data, streaming data analysis, and integration from multiple sources. The platform's capabilities empower users to dynamically interact with vast, complex datasets, enabling them to discover critical insights and resolve challenging business problems.
The company was founded in 2012 by Justin Langseth and Russ Cosentino. Their entrepreneurial insight stemmed from the increasing demand for effective methods to analyze and visualize large-scale data in real time. Langseth, with a background that includes founding successful ventures like Strategy.com and Claraview, brought significant expertise in data and analytics to address these emerging challenges in the enterprise data landscape.
Zoomdata primarily caters to business users across diverse sectors who require advanced tools to process and visualize their information. Its overarching vision is to provide a user-friendly environment where these individuals can effortlessly consume and interact with disparate data streams. The platform aims to continuously enhance users' ability to proactively identify new opportunities and efficiently tackle data-intensive issues.
Zoomdata has raised $47.0M across 4 funding rounds.
Zoomdata has raised $47.0M in total across 4 funding rounds.
Zoomdata has raised $47.0M across 4 funding rounds. Most recently, it raised $25.0M Series C in February 2016.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Feb 1, 2016 | $25M Series C | Rana Yared | F Prime Capital, General Catalyst, Wing Venture Capital, Work Bench, Xfund, Ashby Monk, Patrick S. Chung, Accel, Columbus Nova Technology Partners, Matt Carbonara ✅, NEA | Announced |
| Oct 1, 2014 | $17M Series B | Accel | F Prime Capital, General Catalyst, Razor's Edge Ventures, Wing Venture Capital, Work Bench, Xfund, Ashby Monk, Patrick S. Chung, B7, Columbus Nova Technology Partners, NEA | Announced |
| Jul 1, 2013 | $4M Series A | Columbus Nova Technology Partners | Cota Capital, Razor's Edge Ventures, B7, Center For Innovative Technology | Announced |
| Nov 1, 2012 | $1M Seed | — | — | Announced |
Zoomdata has raised $47.0M in total across 4 funding rounds.
Zoomdata's investors include Rana Yared, F-Prime Capital Partners, General Catalyst, Wing Venture Capital, Work-Bench, Xfund, Ashby Monk, Patrick S. Chung, Accel, Columbus Nova Technology Partners, Matt Carbonara ✅, NEA.
Zoomdata was a business intelligence (BI) and data visualization platform specializing in real-time analytics for big data, cloud, live streaming, multisource, and embedded use cases.[1][2][3] It served enterprises in sectors like financial services, telecommunications, retail, healthcare, government, IoT, cybersecurity, and telco by enabling interactive dashboards, visual exploration of massive datasets (billions of rows), and fusion of disparate data sources without extraction, movement, or semantic modeling.[1][3][5][6] The platform solved core problems of slow BI tools on fast-growing, distributed data through patented Data Sharpening™ technology, which delivered progressive query results via micro-queries for sub-second insights, alongside features like Smart Data Connectors and a scalable microservices architecture.[1][2][4] Founded in 2012 and headquartered in Reston, Virginia, with R&D in Kyiv, Ukraine, Zoomdata built strong early traction in big data visualization before its acquisition by Logi Analytics in June 2019, and subsequent integration into insightsoftware in 2021.[3][5][6]
Zoomdata was founded in 2012 in Reston, Virginia, as an open standards-based platform to tackle the limitations of traditional BI in handling exploding volumes of big and streaming data.[3][5] While specific founders are not detailed in available sources, the company emerged from the need to bridge legacy and modern data environments—like Hadoop, Spark, NoSQL, cloud warehouses, and real-time streams—enabling users to visualize and interact without data silos or long waits.[2][4][5] Early traction came from its mobile-first, touch-optimized design and patented micro-query engine, which earned it the Technology Innovation Award for Big Data Analytics from Dresner Advisory Services for three consecutive years.[6] Pivotal moments included partnerships with integrators like Deloitte, InfoSys, and Hitachi, and recognition as one of the 10 Fastest Growing Big Data Companies in 2017 by The Silicon Review, culminating in its 2019 acquisition by Logi Analytics to enhance embedded analytics capabilities.[4][5][6]
Zoomdata rode the big data and real-time analytics wave of the 2010s, addressing market forces like data explosion from IoT, cloud migration, and streaming sources that overwhelmed legacy BI systems.[2][4][6] Its timing was ideal amid Hadoop/NoSQL adoption and the shift to embedded analytics in apps, influencing the ecosystem by pioneering sub-second visualization at scale and proving data could stay in place for analysis.[1][5] Post-acquisition, its technology bolstered Logi Analytics (now insightsoftware), enhancing embedded BI for enterprises and integrators, while serving a global footprint across North America, Europe, and Asia in high-stakes sectors.[5][6] This helped democratize fast insights, reducing barriers for non-technical users and accelerating app development in data-intensive industries.[3][6]
Zoomdata's legacy as a trailblazer in ultrafast big data visualization endures within insightsoftware's Logi Symphony, where its core tech powers embedded analytics for evolving demands like AI-driven insights and edge computing.[5][6] Next steps likely involve deeper integration with modern stacks (e.g., generative AI for queries, expanded streaming), capitalizing on trends like real-time decisioning in cybersecurity and personalized healthcare.[2][6] As data velocities surge, its influence could expand by enabling more "analytics in context" apps, solidifying its role from standalone BI innovator to foundational embedded layer—echoing its original mission to make massive data instantly actionable.[1][3]