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San Francisco-based Alpine Data Labs provides a collaborative, code-free, visual data science and machine learning platform that enables enterprise teams to build and deploy predictive models directly on big data environments. This enterprise software allows data scientists and business analysts to execute advanced analytics on frameworks like Hadoop and Apache Spark without requiring code or moving the underlying large datasets. Prior to its acquisition, the company raised over 23 million dollars in venture funding from lead investors including US Venture Partners and Sierra Ventures. The organization also achieved certification from Databricks before being acquired by enterprise software provider TIBCO Software in November 2017. Following the transaction, the technology was integrated into the TIBCO Data Science platform, concluding the independent operations of the business that was founded in 2010 by Anderson Wong, Yi-Ling Chen, and Steven Hillion.
Alpine Data Labs has raised $24.0M across 2 funding rounds.
Alpine Data Labs has raised $24.0M in total across 2 funding rounds.
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]
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]
(Note: Distinct from unrelated "Alpine Labs" R&D initiative by Alpine Method, focused on AI/ML for government missions.[1])
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.
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.
Alpine Data Labs has raised $24.0M in total across 2 funding rounds.
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.
Alpine Data Labs has raised $24.0M across 2 funding rounds. Most recently, it raised $16.0M Series B in November 2013.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Nov 1, 2013 | $16M 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, Mission Ventures, Luis Llovera, Frank LEE | Announced |
| May 1, 2011 | $8M Series A | — | ACME Capital, Crosslink Capital, Great Oaks Venture Capital, Haystack, Lumia Capital, Sierra Ventures, Uncork Capital, Eytan Elbaz, Shervin Pishevar, LEO Speigel, Stanford University, Sumitomo Corporation Equity Asia | Announced |
