ThoughtSpot adds support for Databricks 'lakehouse' to analytics platform

ThoughtSpot has expanded the number of backend data sources that can be accessed via its cloud-based analytics platform to include the Databricks cloud service based on the Apache Spark framework. A ThoughtSpot for Databricks offering now makes it possible to directly run queries through the ThoughtSpot search engine against a Databricks Lakehouse, a data architecture that combines the features of data lakes and data warehouses, according to Databricks. For nearly a decade, ThoughtSpot has been making the case for an alternative approach to analytics that eliminates the need to rely on a data analyst or IT professional to construct a dashboard. Instead, it presents end users with a search interface through which they can employ natural language to query multiple backend data repositories. That approach enables end users to interrogate data in a more interactive fashion that is not constrained by the limitations of how a dashboard was constructed, said Seann Gardiner, senior vice president of business development for ThoughtSpot.