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 analytical workflow and predictive models. ^[7] [8] This AIMS to make analytics more suitable for business analyst level staff, sales and other departments like using the data, Rather than Requiring a “data engineer” or “data scientist” Who Understands languages like MapReduce or Pig . ^{[2] [9] [10]}

Dan Udoutch serves as president and CEO of Alpine Data Labs. ^[11]

History

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] and} 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 roundfunding from EMC Greenplum, Sierra Ventures, Mission Ventures, and Sumitomo Corp. Equity Asia. ^[17] The funding was used in part to set up Alpine headquarters in San Mateo, California . ^[18]Alpine also appointed Chief Product Officer, Steven Hillion, who had led the Data Science team at Greenplum. ^[19] Alpine’s core product then, Alpine Miner, used for non-data scientists to create predictive analytics data models without using code and used in “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 internet devices , including tablets and phones. ^[15] [24]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 March 2014, Alpine Data Labs was certified by Databricks on Apache Spark . ^[30] Later that year, the company released an integration with the popular programming language, as well as support for all major Hadoop distributions and all major relational databases. ^[31]

In 2015, Alpine added an extensibility layer to its analytics engine, allowing users to add new operators to the visual editor for running custom algorithms developed in Java or Scala. ^[32] The company also developed a new interface (“Touchpoints”) for business users to interact with machine learning models. ^[33] Later developments including integration with Python Notebooks, ^[34] support for model operationalization, ^[35] and self-tuning of Spark-based algorithms. ^[36] Alpine’s customers include Havas, ^[37] CDC, ^[38] and NASA. ^[39]

Alpine was acquired by TIBCO in November 2017. ^[40]

References