Big data startup ThoughtSpot said Tuesday that its core product, the ThoughtSpot Relational Search Appliance, is now available to the general public. ThoughtSpot wants to bring a Google-like search experience for data analytics with its hardware appliance, which contains an in-memory database and a custom-built search engine. When a user types in keywords into the search interface, ThoughtSpot can predict what a user wants to find and run SQL queries based on the search. The startup — whose founding team includes former members of Nutanix, Google and Yahoo — landed $30 million in funding in June.
StackIQ, a startup that specializes in automating and managing big data clusters, has taken in a $6 million series B funding round. Grayhawk Capital, Keshif Ventures, DLA Piper and OurCrowd were new investors in this funding round alongside Anthem Venture Partners and Avalon Ventures. The cluster management space has seen some action in recent months. Bright Computing, which sells hardware-agnostic Linux cluster management software, took in $14.5 million in June. In August, Google partnered up with Mesosphere to allow Google Compute Engine users to easily spin up self-managing clusters.
A Mountain View, California, startup called Waterline Data Science has raised $7 million from Menlo Ventures and Sigma West for its software that helps users make more sense of data stored inside Hadoop. Its premise is that while it’s easy to load lots of data into Hadoop, it’s often hard for users to find the stuff they want or to know where it came from. Waterline helps inventory data based on factors such as is file type, sensitivity level or history. The company’s executives come from Informatica, Teradata and IBM.
Wit.AI, a startup building an API platform for speech recognition, has raised a $3 million seed round, led by Andreessen Horowitz. Ignition Partners, NEA, A-Grade, SVAngel, Eric Hahn, Alven Capital, and TenOneTen also contributed. We covered Wit.AI in May, detailing its plans to build a machine-learning-powered API service that developers can use to bring voice commands to their applications or connected devices. We will, of course, be talking all about the devices that could benefit from such a platform at our Structure Connect conference next week in San Francisco.
Loggly, the log-management startup that helps companies find problems in their applications, is set to announce a $15 million in a series C funding round, which brings the company’s total investment to $33.4 million. The startup operates in the competitive log management space alongside Splunk and SumoLogic. Harmony Partners acted as lead investor of this funding round along with previous investors Matrix Partners, Trinity Ventures, Cisco, Data Collective and True Ventures (Disclosure: True Ventures is also an investor in Gigaom).
Google announced on Monday that its Sheets spreadsheet application in Google Drive can now fill in missing table values using machine learning. The new Chrome Store add-in, called Smart Autofill, utilizes Google’s Prediction API, and is theoretically very useful. It could allow laypersons to build small-scale machine learning models that could be used to make predictions about pretty much anything. Recently, a natural-language processing startup called Aylien released an add-in that lets users run some complex text analysis using Google Sheets. Microsoft has also used machine learning to smarten up Excel through a feature called Flash Fill.