Alpine Data Labs is an advanced analytics interface working with Apache Hadoop and big data.[1][2][3][4][5][6] It provides a collaborative, visual environment to create and deploy analytics workflow and predictive models.[7][8] This aims to make analytics more suitable for business analyst level staff, like sales and other departments using the data, rather than requiring a "data engineer" or "data scientist" who understands languages like MapReduce or Pig.[2][9][10]
Dan Udoutch, President & CEO
Steven Hillion, Chief Product Officer
Services
Advanced Analytics on Hadoop and Big Data
Number of employees
45 (As of October 2013)
Website
www.alpinedata.com
Dan Udoutch serves as president and CEO of Alpine Data Labs.[11]
Historyedit
Ex-Greenplum employees Anderson Wong and Yi-Ling Chen developed an app that could work with databases, which was used by the Data Science team at EMC[12] as well as early customers in Financial Services and Digital Media.[13][14] Alpine Data Labs was co-founded by Wong and Chen in 2010.[15][16] That year, Alpine raised 7.5 million in Series A round funding from EMC Greenplum, Sierra Ventures, Mission Ventures, and Sumitomo Corp. Equity Asia.[17] The funding was used in part to set up Alpine's headquarters in San Mateo, California.[18] Alpine also appointed its Chief Product Officer, Steven Hillion, who had led the Data Science team at Greenplum.[19] Alpine's core product then, Alpine Miner, allowed for non-data scientists to create predictive analytics data models without using code and used an "In-Database" model.[20][21] In June 2011, Alpine Miner 2.0 for Oracle Database was released.[13]
Tom Ryan was appointed CEO and president of Alpine Data Labs in January 2012 and served until April 2013. The following month, Joe Otto was appointed to serve as CEO and president.[22] In November 2013, Alpine Data Labs raised $16 million in Series B venture funding.[9][10] Investors included Sierra Ventures, Mission Ventures, UMC Capital, and Robert Bosch Venture Capital GmbH.[23] That same month, it also released Alpine 3.0, which introduced a drag and drop interface and access to data from any device that with internet capabilities, including tablets and phones.[15][24] This makes it possible for analysts to access data on Hadoop, and other databases and data warehouses, without IT having to move the data into another interface.[25] Alpine also moved its headquarters from San Mateo to San Francisco in November 2013, by which point the company had significantly expanded the functional breadth of its platform with enterprise collaboration and governance features.[26] In February 2014, Alpine Data Labs was added to the Gartner Magic Quadrant as a "Niche Player"[27][28] and later as a "Visionary".[29]
In 2014, the company released an integration with the R programming language, as well as support for all major Hadoop distributions and all major relational databases.[30]
^"Sand Hill 50 "Swift and Strong" in Big Data". Sand Hill. January 8, 2014. Retrieved March 8, 2014.
^ abRobin Bloor (January 6, 2014). "10 Companies and Technologies to Watch in 2014". Inside Analysis. Archived from the original on March 17, 2014. Retrieved March 8, 2014.
^Ted Cuzzillo (December 4, 2013). "Alpine Data and Goliath". Data Doodle. Retrieved March 8, 2014.
^Eric Blattberg (2013-10-30). "Big data, little companies: These six startups want to disrupt the data world". Venture Beat. Retrieved March 8, 2014.
^Noreen Seebacher (October 2, 2013). "Big-Data Draws Attention at Interop New York". All Analytics. Archived from the original on March 8, 2014. Retrieved March 8, 2014.
^Scott Koegler (December 3, 2013). "Making Big Data Work For Your Business". Forbes. Archived from the original on December 7, 2013. Retrieved March 8, 2014.
^Bob Gourley (2013-10-17). "The breakthrough technologies every analyst should know about". Analyst One. Archived from the original on 2014-03-08. Retrieved March 8, 2014.
^Valentina Craft (2013-10-29). "2014, the year of Big Data applications". Silicon Angle. Retrieved March 8, 2014.
^ abChristina Farr (2013-11-22). "Alpine Data Labs gets $16M to ensure companies 'won't fail' with big data analytics". Venture Beat. Retrieved March 8, 2014.
^ abDerrick Harris (2013-11-22). "Alpine Data Labs raises $16 million for its visual approach to data science". Gigaom. Retrieved March 8, 2014.
^Gil Press (2013-09-24). "What's A CMO To Do? Alpine Data Labs' Otto And Aziza On The Digital Marketing Landscape". Forbes. Retrieved March 8, 2014.
^"EMC Taps Alpine As SAS Alternative For Analytics - InformationWeek". InformationWeek. Retrieved 2017-11-14.
^ abDerrick Harris (July 20, 2011). "Greenplum protégé brings predictive muscle to Exadata". Gigaom. Retrieved March 8, 2014.
^EMC. "Alpine Data Labs | Partners | Partners | Data Science Series". datascienceseries.com. Archived from the original on 2017-11-15. Retrieved 2017-11-14.
^ abAlex Woodie (2013-10-29). "Alpine Demos Big Data Analytics from an iPad". Datanami. Retrieved March 8, 2014.
^Robin Wauters (May 11, 2011). "Alpine Data Labs Scores $7.5 Million To Help Companies Analyze Troves Of Data". TechCrunch. Retrieved March 8, 2014.
^Patrick Hoge (May 11, 2011). "Alpine Labs gets $7.5M to mine Big Data". San Francisco Business Times. Retrieved March 8, 2014.
^"Alpine Data Labs Raises $7.5 Million in Series A Funding and Formally Launches in the U.S." Database Trends and Applications. May 13, 2011. Retrieved March 8, 2014.