ThoughtSpot Introduces New Data Workspace to Transform How Analysts and Developers Utilize the Modern Data Stack

Launch of SpotApps and ThoughtSpot Blocks enables deployment of turnkey analytics applications for specific business functions including sales, marketing, and IT

ThoughtSpot, the Modern Analytics Cloud company, today announced the new ThoughtSpot Data Workspace with advanced capabilities designed to help analysts, data engineers, and developers build and operationalize Live Analytics throughout their organization. The news comes as ThoughtSpot also announces $100M in new funding, bringing the company’s valuation to $4.2B.

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“The modern data stack presents an opportunity for analysts and developers to build new data experiences for their business. Today’s cloud data platforms are capable of delivering dynamic analytical capabilities that were not possible with traditional data warehouses and data lakes”

Built on a dynamic search architecture, ThoughtSpot has always provided the most interactive, intuitive experience for business users to discover and act on data insights on their own. Now, as the roles of data analyst, data engineer, and developers intersect and evolve, ThoughtSpot is bringing this highly interactive experience to these professionals, accelerating time to value and making data teams more productive with the new, developer-friendly ThoughtSpot Data Workspace.

As companies embrace the modern data stack, fueled by the explosion of data and race to the cloud, a new breed of data professional has emerged to manage increasingly complex data engineering and analytics work. Whereas the traditional role was primarily responsible for building reports and dashboards, the analytics engineer of today is tasked with modeling data, launching new use cases, and enabling true self-service for frontline decision makers. The ThoughtSpot Data Workspace is specifically designed to empower these professionals to put their data to work and operate more efficiently. By streamlining this technical work, data teams are able to boost productivity, while dramatically hastening the development and delivery of new analytics projects.

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The new ThoughtSpot Data Workspace enables analytics engineers, analysts, and developers to:

• Connect directly to their cloud platform of choice. Analysts and developers can connect to Snowflake, Databricks, Amazon Web Services, Microsoft Azure, GoogleBigQuery, dbt Labs, Dremio, Starburst, and more in seconds, and immediately begin to run live search queries directly on those platforms.
• Launch new data apps directly from the ThoughtSpot Data Workspace. With the introduction of SpotApps, turnkey solutions for the most popular SaaS offerings like ServiceNow, Salesforce, HubSpot and Snowflake, analysts and developers can quickly deploy ThoughtSpot analytical apps to immediately begin realizing value. SpotApps are all powered by ThoughtSpot Blocks, prebuilt packages of code and connectors that can be easily deployed. Each Block is built on TML, the ThoughtSpot Modeling Language.
• Model data with custom SQL or new dbt integration. Analysts and developers can now bring custom SQL to ThoughtSpot and then enable search on a SQL-based view, allowing them to work with data in a language many are already familiar with. Additionally, ThoughtSpot now supports dbt, so engineers can more easily transform, model, and integrate their data with ThoughtSpot. With support for dbt and custom SQL, customers can now model, govern, and manage business logic in one place, then leverage the Modern Analytics Cloud to deliver a live analytics experience.
• Operationalize analytics to create a closed data loop instead of a linear data pipeline. When ThoughtSpot acquired Seekwell earlier this year, the two companies expressed a vision to operationalize analytics with reverse ETL, pushing cloud data insights back to business and productivity apps. Today, that integration is complete and customers can now use search to analyze their cloud data, then seamlessly sync it to business applications like Salesforce and productivity apps like Google Sheets.

“The modern data stack presents an opportunity for analysts and developers to build new data experiences for their business. Today’s cloud data platforms are capable of delivering dynamic analytical capabilities that were not possible with traditional data warehouses and data lakes,” said Ajeet Singh, Cofounder & Executive Chairman, ThoughtSpot. “Historically, this meant many of these professionals were limited to building static dashboards and performing ETL jobs. With ThoughtSpot, however, they can dramatically increase their impact on the business with our new ThoughtSpot Data Workspace, TML, Seekwell, and ThoughtSpot Everywhere. Using these modern capabilities, analysts and developers can build and launch new live analytical experiences quickly, empowering their business counterparts to actively engage with data through the ease and interactivity of the Modern Analytics Cloud.”

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