Conversational Analytics, Without the Silo

ThoughtSpot positions natural-language search as the headline product, with per-user query caps on Spotter at the Pro tier. Preset is a full open BI platform — dashboards, SQL Lab, embedded analytics — where conversational AI is one capability among many. Built on Apache Superset™, with BYOK on Enterprise so you can route AI through your own model provider.

Why Teams Choose Preset

Search-driven analytics is one feature, not the whole product

NL analytics, plus the rest of BI

Preset Chatbot delivers conversational analytics grounded in your semantic layer — equivalent to ThoughtSpot's Sage/Spotter experience — but it's one capability of a platform that also gives you dashboards, SQL Lab, embedded analytics, and 40+ chart types.

Bring your own AI client (Preset MCP)

Preset MCP exposes the same analytics platform to any MCP-compatible AI client — Claude, Cursor, Gemini CLI — with your existing RBAC, row-level security, and audit logging. ThoughtSpot's AI is a closed product surface.

Simpler, more predictable pricing

Preset Professional at $20/user/month, with a free tier for up to 5 users. ThoughtSpot Essentials starts at $25/user/month and Pro at $50/user/month, with limited Spotter AI queries per user that can push pricing higher with real-world usage.

Open-source foundation

Built on Apache Superset™ with 70k+ GitHub stars and 2,000+ contributors. ThoughtSpot is proprietary. Your work stays portable — export your dashboards or self-host anytime.

SQL-first, code-friendly

SQL Lab gives power users a full SQL IDE with autocomplete, query history, virtual datasets, and Jinja templating. ThoughtSpot's strength is search; Preset gives you search AND the SQL depth analysts actually want.

Embedded analytics, simpler licensing

Per-Viewer-license pricing for embedded dashboards (starting at $500/month for 50 Viewers, up to 90% volume discount on Enterprise). Predictable and forecastable — without the consumption-based pricing variability ThoughtSpot deployments often run into.

Comparison

Preset vs ThoughtSpot: Key Differences

Conversational analytics

ThoughtSpot's Sage / Spotter is the product. Preset Chatbot is one feature of a broader platform — alongside dashboards, SQL Lab, and embedded analytics. Same NL capability, more value for the money.

Pricing

ThoughtSpot: $25/user (Essentials), $50/user (Pro), custom Enterprise. Preset: free for 5 users, $20/user Professional, custom Enterprise — with Preset Chatbot bundled in.

Open vs proprietary

ThoughtSpot is a closed product. Preset is built on Apache Superset under Apache Software Foundation governance — vendor-neutral, portable, and self-hostable if you ever need to leave.

1
10
11
12
13
14
15
16
17
18
2
345
6
789
Head-to-Head

Preset vs ThoughtSpot Feature Comparison

FeaturePresetThoughtSpot
Open source foundationApache 2.0 (ASF)Proprietary
Free tier5 users forever14-day trial only
Conversational / NL analyticsPreset ChatbotSage / Spotter
MCP server for AI clientsPreset MCPClosed AI surface
Bring-your-own-key (BYOK) AIEnterprise — OpenRouter
Full SQL IDESQL LabPartialLimited SQL surface
40+ chart typesPartial
Native database connectors40+20+
Jinja templating for dynamic SQL
dbt integrationNativePartial
Semantic layer (open ecosystem)dbt, Cube, OSIPartialProprietary model
Embedded analytics SDKReact, Vue, Angular
Predictable embed pricingPer-Viewer licensePartialOften consumption-priced
Cloud agnostic (AWS, GCP, Azure)
Private cloud in your accountManaged Private CloudEnterprise
SOC 2 Type II
SSO / SAML / SCIM
Row-level security
Audit loggingAI tool calls included
Public roadmapGitHub (ASF)
Ready to switch?

Try Preset for yourself

Start free for up to five users — Preset Chatbot trial included on Professional. No credit card required.

Common Questions

Frequently Asked Questions

  • Choose Preset when you want conversational analytics AND the rest of a full BI platform in the same bundle — dashboards, SQL Lab, embedded analytics, dbt integration, and 40+ chart types. ThoughtSpot is a good fit if NL search is the only thing your team needs; Preset is the better choice when you want that capability as part of a broader open analytics platform.

  • For most use cases, yes. Both produce charts and insights from plain-English questions, grounded in a semantic layer that defines your metrics and dimensions. Preset Chatbot is built on Preset MCP, so the same tool calls are available to any MCP-compatible AI client you bring — see the Preset Chatbot launch post and Preset MCP for the architecture.

  • Yes. On Enterprise, paying customers can plug in their own OpenRouter API key to route Preset Chatbot through the account of their choice and handle token billing on their side. ThoughtSpot does not currently support BYOK at this granularity.

  • Yes. Dashboards are rebuilt rather than directly converted, but SQL-defined logic and database connections transfer cleanly. Our team provides migration guidance, and most teams run both tools side by side during the transition. Many find Preset's no-code Explore view plus Preset Chatbot covers the search workflows they relied on most in ThoughtSpot.

  • Preset's Embedded SDK supports React, Vue, Angular, and vanilla JavaScript with guest token authentication, row-level security, and full white-labeling. Per-Viewer-license pricing (starting at $500/month for 50 Viewers, with up to 90% volume discount on Enterprise) is often easier to forecast than ThoughtSpot's combination of per-user and consumption-based pricing.

Ready to switch?

Get in Touch

See why teams choose Preset for conversational analytics that ships with the rest of a full BI platform. Start free, or talk to our team for a scoped evaluation against your current ThoughtSpot footprint.

ThoughtSpot, Sage, and Spotter are trademarks of ThoughtSpot, Inc. Apache Superset is a trademark of The Apache Software Foundation. Preset is not affiliated with or endorsed by ThoughtSpot, Inc. or The Apache Software Foundation. Feature comparisons are based on publicly available information (including ThoughtSpot's public pricing page) and may not reflect the most recent product updates.