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Business Intelligence · head to head

Phocas vs Sisense

Phocas logo

Phocas

Business Intelligence

Pre-built BI and FP&A for wholesale distributors and manufacturers running mid-market ERPs

From
On request
Rated
-
Sisense logo

Sisense

Business Intelligence

Infuse analytics everywhere

From
$10000/year
Rated
-

The short version

  • Each has a real cost: Phocas the value is the pre-built vertical content, so a company outside distribution, manufacturing or retail pays premium prices for dashboards it must build itself anyway.; Sisense pricing lacks transparency with opaque scaling costs and hidden fees for onboarding and training
  • They diverge on capability: Phocas covers ERP connectors, Sisense covers Embedded Analytics.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Phocas and Sisense actually diverge.

Attributes where Phocas and Sisense differ
AttributePhocasSisense
Starting priceOn request$10000/year
Pricing modelquoteUnknown
PlatformsWeb, iOS, AndroidWeb, Cloud, On-premises
FoundedUnknown2004

Identical on both: free tier (No), user rating (Not yet rated), category (Business Intelligence).

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 Phocas

  • ERP connectors
  • Pre-built distribution content
  • Grid-first analysis
  • Financial statements
  • Budgets and forecasts
  • Rebates module
  • Alerts and subscriptions
  • Mobile apps

Only in Sisense

  • Embedded Analytics
  • AI/ML Integration
  • In-chip Technology
  • White-labeling
  • REST API
  • Snowflake
  • AWS
  • Azure

What people use each for

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

Phocas

  • A wholesale distributor on Prophet 21 whose sales reps need per-customer margin and stock availability without waiting on a report writernot Sisense
  • A manufacturer that wants budgeting on the same data as its sales analysis rather than in a separate spreadsheetnot Sisense
  • A multi-branch retailer comparing branch and product performance daily without an internal BI teamnot Sisense
  • A private equity owner standardising reporting across several acquired distributors on different ERPsnot Sisense

Sisense

  • Self-service analyticsnot Phocas
  • Data explorationnot Phocas
  • Ad-hoc reportingnot Phocas
  • Collaborative analysisnot Phocas
  • Embedded analyticsnot Phocas

Where each one falls short

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

Phocas

  • The value is the pre-built vertical content, so a company outside distribution, manufacturing or retail pays premium prices for dashboards it must build itself anyway.
  • If your ERP is not on the maintained connector list you fall back to generic database extraction and lose the fast time to value that justifies the price.
  • The visualisation library is thin next to Power BI or Tableau, and analysts who want fine control over chart design will find it constraining.
  • Pricing is quoted per user and never published, and buyers routinely report large gaps between initial and renewal quotes with limited comparison leverage.
  • Modules are licensed separately, so a customer who bought Analytics and later wants Financial Statements or Rebates faces a new negotiation rather than an upgrade.

Sisense

  • Pricing lacks transparency with opaque scaling costs and hidden fees for onboarding and training
  • Limited connector ecosystem compared to competitors; missing native connectors to many data sources
  • Dashboard customization options are limited; widgets cannot span multiple rows, restricting layout possibilities
  • Performance issues reported with large datasets and stability problems with data cubes

Pricing, plan by plan

Phocas

On request
  • Phocas$undefined/year
    • Annual subscription quoted by user count and modules
    • Analytics, Financial Statements, Budgets and Rebates licensed separately
    • One-off implementation and ERP connector setup fee

Sisense

$10000/year
  • Small Team$10000/year minimum
    • Basic analytics dashboards
    • Limited data sources
  • Mid-Market$undefined/custom
    • Advanced analytics
    • Multiple data sources
    • Custom integrations
  • Enterprise$60000/year+
    • Advanced AI analytics
    • Premium support
    • Custom development

Which should you pick?

Choose Phocas if

  • You need erp connectors.
  • You work on Web, iOS, Android.
  • You also want pre-built distribution content.

Choose Sisense if

  • You need embedded analytics.
  • You work on Web, Cloud, On-premises.
  • You also want ai/ml integration.

Questions people ask

Is Phocas or Sisense better?
Neither clearly leads. Phocas starts at On request and Sisense at $10000/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Phocas or Sisense?
Phocas starts at On request and Sisense at $10000/year.
Does Phocas or Sisense run on more platforms?
Phocas runs on Web, iOS, Android. Sisense runs on Web, Cloud, On-premises.
What is Phocas best used for?
Phocas is most often used for a wholesale distributor on prophet 21 whose sales reps need per-customer margin and stock availability without waiting on a report writer, a manufacturer that wants budgeting on the same data as its sales analysis rather than in a separate spreadsheet, a multi-branch retailer comparing branch and product performance daily without an internal bi team, a private equity owner standardising reporting across several acquired distributors on different erps. Of those, a wholesale distributor on prophet 21 whose sales reps need per-customer margin and stock availability without waiting on a report writer and a manufacturer that wants budgeting on the same data as its sales analysis rather than in a separate spreadsheet are not what Sisense is typically brought in for.
What can Phocas do that Sisense cannot?
Phocas covers ERP connectors, Pre-built distribution content, Grid-first analysis, Financial statements. Sisense covers Embedded Analytics, AI/ML Integration, In-chip Technology, White-labeling.

Answered from the vendors’ own pages

Phocas: What does Phocas cost?

Nothing is published. It is quoted annually by user count and module, with a separate implementation fee, and varies by region.

Sisense: What is Sisense primarily used for?

Sisense is an embedded analytics platform that combines data ingestion, modeling, and dashboarding, allowing organizations to embed analytics and insights directly into their applications and workflows.

Source
Phocas: Is it worth it over Power BI?

Only if you are in its target verticals on a supported ERP. Power BI is far cheaper per seat but you supply the data model.

Sisense: Does Sisense have a transparent pricing model?

Sisense pricing is not publicly listed and requires contacting sales. Typical costs start at $10,000 per year for small teams but can scale to $60,000+ annually depending on users, data volume, number of data sources, and complexity. AI capabilities typically add 20-30% to base costs.

Source
Phocas: Does it replace my ERP reporting?

It replaces day-to-day analysis and sales reporting. Transactional and statutory reporting stays in the ERP.

Sisense: What data sources can Sisense connect to?

Sisense provides pre-built connectors for popular applications including Salesforce, Google Analytics, Zendesk, and others. It also supports custom connections through APIs and SDKs for specialized data sources.

Source
Phocas: Can it do budgeting?

Yes, through a separately licensed Financial Statements and Budgets module on the same warehouse.

Sisense: Is Sisense easy to use for non-technical users?

Sisense requires significant technical expertise to set up, particularly for creating Elasticubes (database caches) which often need SQL code. While it promotes codeless reporting, typical implementations require a technical resource.

Source
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