When O’Reilly’s Strata Data Conference opens at the Javits Center in New York City later this week, some of the software vendors who helped usher in the big data era won’t be there. Take Alpine Data Labs, ClearStory Data, Hortonworks, MapR, Platfora and others, all of which have been acquired by larger vendors.
But there’s one thriving data science and analytics platform whose origin looks very different than those — OpenText Magellan was born at enterprise information management software maker OpenText in 2017.
At two years of age, OpenText Magellan has already qualified as a “strong performer” in The Forrester Wave Notebook-Based Predictive Analytics And Machine Learning Solutions, Q3 2018 alongside Cloudera, Databricks, H2O.ai and ahead of Anaconda and Google. (Oracle with its Data Science.com buy and Domino Data Lab are leaders.)
“It tackles the gnarliest, most underleveraged valuable data…“(OpenText Magellan’s use of Jupyter) is the workbench interface many data science teams expect, and OpenText adds value by also giving them access to unstructured data with sophisticated text analytics,” they wrote.
And that’s an important differentiator, according to Zachary Scott Jarvinen the product marketing lead for AI at OpenText. After all, there’s a wealth of information stored in documents like company reports, contracts, email, marketing material, whitepapers, resumes, forms filled out during employee recruitment and onboarding, text messages, messaging on social networks, in surveys, and so on. Most enterprises aren’t leveraging it fully to gain critical insights.
That’s partly because the sheer volume of unstructured content is massive, and also because the velocity at which it is being created is huge — think about, how much textual information do you create everyday (think about everything you write down, every conversation that is heard, recorded or archived involving a machine, and video. OpenText Magellan helps…