Alpine Data Labs

Alpine Data Labs is a technology company.

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Updated: Feb 17, 2026 ·

Recent News & Mentions

Nov 1, 2013FundingAlpine Data Labs - Series B May 1, 2011FundingAlpine Data Labs - Series A

Financial History

Alpine Data Labs has raised $24.0M across 2 funding rounds. Most recently, it raised $16.0M Series B in November 2013.

Total Raised

$24.0M

Valuation

N/A

Funding Rounds Raised

Date	Round	Lead Investors	Other Investors
Nov 1, 2013	$16.0M Series B		ACME Capital, Crosslink Capital, Dell Technologies Capital, DFJ, DNX Ventures, Great Oaks Venture Capital, Haystack, Insight Partners, Lumia Capital, Sierra Ventures, SYN Ventures, Ten Eleven Ventures, Uncork Capital, Eytan Elbaz, Shervin Pishevar
May 1, 2011	$8.0M Series A		ACME Capital, Crosslink Capital, Great Oaks Venture Capital, Haystack, Lumia Capital, Sierra Ventures, Uncork Capital, Eytan Elbaz, Shervin Pishevar

Financial History

Alpine Data Labs has raised $24.0M across 2 funding rounds.

Total Raised

$24.0M

Valuation

N/A

Deep Dive

High-Level Overview

Alpine Data Labs was a technology company that developed a collaborative, code-free platform for advanced analytics on big data platforms like Apache Hadoop. It enabled business analysts, data scientists, and non-technical users to build, deploy, and share predictive models and workflows visually, without coding or downloading software, solving the problem of making big data analytics accessible beyond specialized data engineers.[2][3][5][7] The platform targeted enterprises in sectors like financial services, digital media, and operations-heavy industries, allowing seamless work with massive datasets from Hadoop, relational databases, and data warehouses directly in a browser.[2][4][7] Founded in 2010, it raised $23.5M in funding before being acquired by TIBCO in November 2017, marking strong early growth in the democratized analytics space.[3]

Origin Story

Alpine Data Labs was co-founded in 2010 by Anderson Wong and Yi-Ling Chen, former Greenplum employees who built an initial app for database analytics used by EMC's Data Science team and early customers in financial services and digital media.[2] The idea emerged from their experience addressing the need for simpler tools that let non-experts create predictive models, inspired by challenges in handling big data without deep coding skills like MapReduce or Pig.[2][5] Key early hire Steven Hillion, ex-Greenplum Data Science lead, joined as Chief Product Officer, with Dan Udoutch later becoming president and CEO.[2] Pivotal moments included a $7.5M Series A in 2010 from investors like EMC Greenplum and Sierra Ventures, launching Alpine Miner (an in-database, no-code tool), and releases like Alpine 3.0 in 2011 with drag-and-drop interfaces for mobile access.[2][3] The company relocated from San Mateo to San Francisco in 2013 amid platform expansions in collaboration and governance.[2]

Core Differentiators

Code-Free Visual Interface: Drag-and-drop workflows for predictive modeling, data transformation, and visualization on Hadoop and databases, accessible via browser on any device—no coding, software installs, or data movement required.[2][3][5][7]
Collaboration for All Users: Enabled business analysts, sales teams, data engineers, and scientists to co-create, share, and govern models at scale, bridging IT and business without specialized stats or Hadoop expertise.[2][5][6][7]
In-Database and Scalable Processing: "In-Database" approach processed massive datasets directly (e.g., Hadoop integration in Alpine 2.8), reducing total cost of ownership and enabling real-time insights for financial services use cases like broad analytics engines.[2][4][7]
Enterprise Features: Governance, workflow sharing, and support for hybrid data sources, setting it apart from code-heavy competitors like Splice Machine or Tecton.[2][3]

(Note: Distinct from unrelated "Alpine Labs" R&D initiative by Alpine Method, focused on AI/ML for government missions.[1])

Role in the Broader Tech Landscape

Alpine Data Labs rode the early 2010s big data and Hadoop boom, when enterprises grappled with petabyte-scale data but lacked tools for non-experts amid a shortage of data scientists.[7] Its timing was ideal post-Hadoop's rise, addressing "Big Data is really hard" by democratizing predictive analytics—key as firms sought operational gains without heavy IT overhauls or coding barriers.[2][7] Market forces like exploding data volumes in finance and media favored it, influencing the ecosystem by pioneering no-code analytics, paving the way for modern low-code AI platforms and collaborative tools from successors like TIBCO.[3][4] Post-acquisition, its tech amplified TIBCO's analytics portfolio, contributing to the shift toward accessible ML for business users.

Quick Take & Future Outlook

Acquired by TIBCO in 2017, Alpine Data Labs' legacy endures in integrated analytics platforms, with its no-code vision now central to generative AI and self-service data tools. Next steps likely involve TIBCO evolving the tech amid real-time ML trends, like edge AI and automated feature stores, amid competitors like Tecton.[3] Rising demand for analyst-friendly big data tools—fueled by data privacy regs and AI democratization—positions its influence to grow, potentially through TIBCO expansions in cloud-native predictive workflows. This early innovator exemplified how visual analytics unlocked big data's promise for everyday business decisions.

Sources

Frequently Asked Questions

How much funding has Alpine Data Labs raised?

Alpine Data Labs has raised $24.0M in total across 2 funding rounds.

Who are Alpine Data Labs's investors?

Alpine Data Labs's investors include ACME Capital, Crosslink Capital, Dell Technologies Capital, DFJ, DNX Ventures, Great Oaks Venture Capital, Haystack, Insight Partners, Lumia Capital, Sierra Ventures, SYN Ventures, Ten Eleven Ventures.