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Software · head to head

Redash vs Sisense

Redash logo

Redash

Software

Connect and visualize your data

From
Free
Rated
-
Sisense logo

Sisense

Software

Infuse analytics everywhere

From
$10000/year
Rated
-

The short version

  • Only Redash has a free tier, so it costs nothing to try first.
  • Each has a real cost: Redash a basic self-hosted deployment needs a minimum of 4GB of RAM, and more RAM and CPU as background workers and API processes grow; Sisense pricing lacks transparency with opaque scaling costs and hidden fees for onboarding and training
  • They diverge on capability: Redash covers SQL Query Editor, Sisense covers Embedded Analytics.

Where they differ

Only the attributes on which Redash and Sisense actually diverge.

Attributes where Redash and Sisense differ
AttributeRedashSisense
Starting priceFree$10000/year
Pricing modelfreemiumUnknown
Free tierYesNo
PlatformsWeb, Self-hosted, CloudWeb, Cloud, On-premises
Founded20132004

Identical on both: user rating (Not yet rated), category (Unknown).

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 Redash

  • SQL Query Editor
  • Multiple Data Sources
  • Visualizations
  • Dashboards
  • Alerts
  • PostgreSQL
  • MySQL
  • BigQuery

Only in Sisense

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

Both cover

  • Web support

What people use each for

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

Redash

  • Self-hosted SQL query editor and dashboarding over existing databasesnot Sisense
  • Sharing scheduled query results with a team without buying a BI licencenot Sisense

Sisense

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

Where each one falls short

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

Redash

  • A basic self-hosted deployment needs a minimum of 4GB of RAM, and more RAM and CPU as background workers and API processes grow
  • The official Docker images were not updated for V10, so the documented route is to deploy a V8 instance and then upgrade it
  • Anyone not using a provided cloud image has to configure the environment variables and secrets by hand

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

Redash

Free
  • Open SourceFree
    • Full Features
    • Self-hosted
    • Community Support
  • Cloud$49/month
    • Managed Hosting
    • Automatic Updates
    • Support

Sisense

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

Which should you pick?

Choose Redash if

  • You need sql query editor.
  • You want to start without paying.
  • You work on Web, Self-hosted, Cloud.
  • You also want multiple data sources.

Choose Sisense if

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

Questions people ask

Is Redash or Sisense better?
Neither clearly leads. Redash starts at Free and Sisense at $10000/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Redash or Sisense?
Redash has a free tier; the other does not. Paid plans start at Free for Redash and $10000/year for Sisense.
Does Redash or Sisense run on more platforms?
Redash runs on Web, Self-hosted, Cloud. Sisense runs on Web, Cloud, On-premises.
Can I use Redash for free?
Yes. Redash has a free tier, so you can try it without paying. Sisense starts at $10000/year.
What is Redash best used for?
Redash is most often used for self-hosted sql query editor and dashboarding over existing databases, sharing scheduled query results with a team without buying a bi licence. Of those, self-hosted sql query editor and dashboarding over existing databases and sharing scheduled query results with a team without buying a bi licence are not what Sisense is typically brought in for.
What can Redash do that Sisense cannot?
Redash covers SQL Query Editor, Multiple Data Sources, Visualizations, Dashboards. Sisense covers Embedded Analytics, AI/ML Integration, In-chip Technology, White-labeling. Both handle Web support.

Answered from the vendors’ own pages

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
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
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
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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