Softwr

Automation Integration · head to head

Lytics vs Sigma Computing

L

Lytics

Automation Integration

The customer data platform for personalization

From
$400/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: Lytics billed in credits where one credit is an update to a user profile, so the bill tracks how often profiles change rather than how many exist; 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: Lytics covers Data collection, 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 Lytics and Sigma Computing actually diverge.

Attributes where Lytics and Sigma Computing differ
AttributeLyticsSigma Computing
Starting price$400/monthOn request
Pricing modelusage-basedquote
CategoryAutomation IntegrationSpreadsheets
Founded2013Unknown

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 Lytics

  • Data collection
  • Audience segmentation
  • Predictive analytics
  • Personalization
  • Real-time activation
  • Analytics
  • API access
  • 100+ integrations

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.

Lytics

  • Building unified customer profiles from behavioural and marketing datanot Sigma Computing
  • Segmenting audiences and syncing them to marketing destinationsnot Sigma Computing

Sigma Computing

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

Where each one falls short

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

Lytics

  • Billed in credits where one credit is an update to a user profile, so the bill tracks how often profiles change rather than how many exist
  • Most inbound events consume a full credit each, and Cloud Connect sync events consume half a credit per updated row
  • The free Developer tier is capped at 2M monthly credits and 10 domains
  • The Growth plan is $500 a month for 5M credits, with additional credits at $500 per 10M
  • Enterprise begins above 10M credits and is quoted rather than published

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

Lytics

$400/month
  • Professional$400/month
    • Core CDP features
  • Advanced$1200/month
    • Advanced personalization
    • Priority support
  • Enterprise$3000/month
    • Custom solutions
    • Dedicated support

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 Lytics if

  • You need data collection.
  • You also want audience segmentation.
Lytics review

Choose Sigma Computing if

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

Questions people ask

Is Lytics or Sigma Computing better?
Neither clearly leads. Lytics starts at $400/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, Lytics or Sigma Computing?
Lytics starts at $400/month and Sigma Computing at On request.
Does Lytics or Sigma Computing run on more platforms?
Both run on Web, so platform support will not decide this one for you.
What is Lytics best used for?
Lytics is most often used for building unified customer profiles from behavioural and marketing data, segmenting audiences and syncing them to marketing destinations. Of those, building unified customer profiles from behavioural and marketing data and segmenting audiences and syncing them to marketing destinations are not what Sigma Computing is typically brought in for.
What can Lytics do that Sigma Computing cannot?
Lytics covers Data collection, Audience segmentation, Predictive analytics, Personalization. Sigma Computing covers Spreadsheet interface over SQL, No extract layer, Input tables and write-back, Workbooks.

Answered from the vendors’ own pages

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.

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.

Share

Related pages

More on Lytics

More on Sigma Computing

Keep looking

Other head to heads