Unified Natural Language and Code Platform
ThoughtSpot
ThoughtSpot is trying to own the full analytics handoff inside one product, instead of letting business users search in one tool and forcing analysts to rebuild the same question in another. Natural language search, Liveboards, and Sync & Actions cover the front end where operators ask questions and push answers into Slack or Salesforce. Analyst Studio brings SQL, Python, and R into that same governed data layer, so an analyst can prep a dataset once and publish it back for wider self service use.
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The Mode acquisition was the key move. It added code first analysis to a company that already specialized in search driven BI. ThoughtSpot described the combined platform as spanning ad hoc code based work, natural language exploration, and AI monitoring, with over $150M ARR after the deal closed in July 2023.
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This matters because analysts and business teams usually split work across separate tools. In practice, a dashboard often starts in a spreadsheet or notebook, gets rebuilt in BI software, then gets pulled back into Excel when something looks off. A shared workspace reduces that back and forth and keeps business users on trusted datasets.
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The closest comparables approach the problem from opposite sides. Hex has been adding drag and drop exploration on top of notebooks for broader access, while ThoughtSpot moved from business user search into notebooks and data prep. Both are converging on one workspace for code users and nontechnical users.
The next step is deeper workflow unification. If ThoughtSpot can make Analyst Studio the place where analysts prep, model, and publish data, while business teams stay in search, dashboards, and automated actions, it becomes harder to replace with a single point tool and easier to expand from one team to the whole company.