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Crypto · head to head

Nansen vs Sigma Computing

Nansen logo

Nansen

Crypto

Blockchain analytics for smart money

From
$150/month
Rated
-
Full reviewWebsite
Sigma Computing logo

Sigma Computing

Spreadsheets

Spreadsheet-style analytics that queries a cloud data warehouse directly with no extract layer

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Nansen no pricing published on public pages; pricing details require app login; Sigma Computing every user interaction is a live warehouse query, so compute costs rise with adoption and land on the warehouse invoice rather than the BI line item, which routinely surprises the team that approved the purchase.
  • They diverge on capability: Nansen covers Wallet Labels, Sigma Computing covers Spreadsheet interface over SQL.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Nansen and Sigma Computing actually diverge.

Attributes where Nansen and Sigma Computing differ
AttributeNansenSigma Computing
Starting price$150/monthOn request
Pricing modelsubscriptionquote
CategoryCryptoSpreadsheets
Founded2019Unknown

Identical on both: free tier (No), platforms (Web), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Nansen

  • Wallet Labels
  • Smart Money Tracking
  • Token God Mode
  • NFT Paradise
  • DeFi Analytics
  • Multi-chain
  • API
  • Web support

Only in Sigma Computing

  • Spreadsheet interface over SQL
  • No extract layer
  • Input tables and write-back
  • Workbooks
  • Embedded analytics
  • Version control and dbt awareness

What people use each for

The jobs each tool is most often brought in to do.

Nansen

  • Analyticsnot Sigma Computing
  • On Chainnot Sigma Computing
  • Researchnot Sigma Computing

Sigma Computing

  • A finance or operations team that lives in spreadsheets and needs warehouse-scale data without exporting CSVsnot Nansen
  • An organisation that has consolidated on Snowflake or Databricks and wants one governed access layer rather than several desktop toolsnot Nansen
  • Planning and scenario work where users need to type assumptions back into governed tables rather than into a local filenot Nansen
  • Embedding customer-facing analytics into a product where each tenant must only see their own rowsnot Nansen

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Nansen

  • No pricing published on public pages; pricing details require app login

Sigma Computing

  • Every user interaction is a live warehouse query, so compute costs rise with adoption and land on the warehouse invoice rather than the BI line item, which routinely surprises the team that approved the purchase.
  • It cannot work without a supported cloud data warehouse, so an organisation running analytics on an on-premises database or a plain application database has nothing to connect to.
  • Pricing is not published and seats are differentiated by capability, so budgeting requires a sales cycle and a headcount forecast before you can compare it with a tool you could simply buy.
  • Performance is only as good as the warehouse behind it, which means slow or badly modelled tables surface as a slow interface and the fix is a data engineering project, not a Sigma setting.
  • Statistical and scientific visualisation is limited compared with dedicated tools, so anything beyond standard business charting has to be done elsewhere and brought back in.

Pricing, plan by plan

Nansen

$150/month
  • Pioneer$150/month
    • Smart Money
    • Token Flows
    • NFT analytics
  • Standard$750/month
    • All Pioneer features
    • API access
    • Advanced queries

Sigma Computing

On request
  • Sigma Computing$undefined/year
    • Quoted per organisation
    • Seat types are differentiated by whether a user views, explores or authors
    • Warehouse compute is billed separately by your cloud data warehouse vendor

Which should you pick?

Choose Nansen if

  • You need wallet labels.
  • You also want smart money tracking.
Nansen review

Choose Sigma Computing if

  • You need spreadsheet interface over sql.
  • You also want no extract layer.
Sigma Computing review

Questions people ask

Is Nansen or Sigma Computing better?
Neither clearly leads. Nansen starts at $150/month and Sigma Computing at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Nansen or Sigma Computing?
Nansen starts at $150/month and Sigma Computing at On request.
Does Nansen or Sigma Computing run on more platforms?
Both run on Web, so platform support will not decide this one for you.
What is Nansen best used for?
Nansen is most often used for analytics, on chain, research. Of those, analytics and on chain are not what Sigma Computing is typically brought in for.
What can Nansen do that Sigma Computing cannot?
Nansen covers Wallet Labels, Smart Money Tracking, Token God Mode, NFT Paradise. Sigma Computing covers Spreadsheet interface over SQL, No extract layer, Input tables and write-back, Workbooks.

Answered from the vendors’ own pages

Nansen: How much does Nansen cost?

Nansen does not publish pricing on its public website. The site mentions 'Low Fees, Optimized Pricing' and references a tier system that 'unlocks lower fees' through platform activity, but specific costs require logging into the Nansen app to view.

Source
Sigma Computing: Does Sigma store a copy of my data?

No. Queries are executed on your warehouse and results are returned for display, which is why there is no extract refresh to manage.

Nansen: What pricing model does Nansen use?

Nansen uses a tier-based fee structure where users accumulate Stack Points through trading activity to climb tiers and unlock reduced fees. Exact fee percentages and tier thresholds are not disclosed on the public website.

Source
Sigma Computing: What does it actually cost?

The vendor does not publish prices. Expect an annual contract priced by seat type, plus a warehouse compute increase you should model separately.

Sigma Computing: Can business users break the warehouse?

They can run expensive queries. Warehouse sizing, query limits and materialised tables are the controls, and they need configuring before a wide rollout.

Sigma Computing: Is it a replacement for a modelling layer like dbt?

No. Sigma works best on top of modelled tables and is usually deployed alongside dbt rather than instead of it.

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