Most Of The Cost Is Hidden
Semantic layer, security, governance, and iteration are pricey. Embedding inside your product (SDK, multi-tenancy, auth white-labeling) adds a whole other layer.
Embedded Analytics Estimator
Calculate your
in-house analytics build
Spend time on your product, not DIY analytics. See the real cost.
4 questions
2 minutes
Instant results
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See what building it yourself would really cost.
Enter your business details to reveal the full 18-month estimate, including hidden production costs, annual ownership costs, and the engineering capacity you could return to your roadmap.
Your Estimate
Your Cost To Build And Run Embedded Analytics In-House For 18 Months
~$0
0 eng-years
Capacity Taken From Your Roadmap
Owning the analytics foundation takes resources from your core product. Reclaim it and focus on building differentiated customer experiences instead.
Ongoing Ownership Never Stops
~$0/yearMaintenance, infrastructure, and AI inference remain after launch and increase as adoption grows. Costs rise steeply at enterprise data volumes.
AI Inference Adds Up Fast
~$0In-House Path
Build Everything Yourself
Timeline~0 months
Team0 engineers
Engineering Effort0 eng-years
FoundationYou Own It Forever
Your team owns the analytics layer, embedding, governance, security, infrastructure, and maintenance.
VS
★ Recommended Path
Build With ThoughtSpot Embedded
Timeline~3.5 months
Team~3 fractional people
Engineering Effort0.4 eng-years
FoundationThoughtSpot Owns It
Same outcome and same units. Directional comparison based on ThoughtSpot customer implementations.
MIT finds teams that buy from a specialist succeed about 67% of the time, versus 33% for internal builds.
