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Machine Learning · head to head

Dataiku vs Periscope Data

Dataiku logo

Dataiku

Machine Learning

Browser-based platform where visual data preparation and written code share one pipeline

From
Free
Rated
-
Full reviewWebsite
Periscope Data logo

Periscope Data

Business Intelligence

SQL and Python analytics platform

From
$1000/month
Rated
-
Full reviewWebsite

The short version

  • Only Dataiku has a free tier, so it costs nothing to try first.
  • Each has a real cost: Dataiku visual recipes are stored as Dataiku's own configuration and do not export as runnable SQL or Python, so a Flow with hundreds of visual steps has to be rebuilt from scratch if the organisation ever leaves, and that cost rises with every project added.; Periscope Data the periscopedata.com domain now redirects to sisense.com, so Periscope Data is no longer sold as a standalone product
  • They diverge on capability: Dataiku covers Visual Flow, Periscope Data covers SQL Editor.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Dataiku and Periscope Data actually diverge.

Attributes where Dataiku and Periscope Data differ
AttributeDataikuPeriscope Data
Starting priceFree$1000/month
Pricing modelfreemiumsubscription
Free tierYesNo
PlatformsLinux, Mac, Windows, WebWeb, Cloud
CategoryMachine LearningBusiness Intelligence
Founded20132012

Identical on both: 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 Dataiku

  • Visual Flow
  • Visual recipes
  • Code recipes and notebooks
  • Computation pushdown
  • Automated machine learning
  • Scenarios
  • Node topology
  • Governance features

Only in Periscope Data

  • SQL Editor
  • Python/R Integration
  • Version Control
  • Caching
  • Dashboards
  • Redshift
  • BigQuery
  • Snowflake

What people use each for

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

Dataiku

  • Organisations where analysts and data scientists must collaborate on the same pipeline rather than exchanging extractsnot Periscope Data
  • Regulated model risk environments needing documented lineage, sign-off and a record of how a production model was producednot Periscope Data
  • Pushing heavy transformations down into a cloud warehouse while keeping the pipeline definition in one reviewable placenot Periscope Data
  • Large enterprises replacing a sprawl of spreadsheets and unmanaged scripts with something a governance function will acceptnot Periscope Data

Periscope Data

  • SQL-based analytics and dashboards over a data warehousenot Dataiku
  • Python and R analysis alongside SQL in one workflownot Dataiku
  • Shared dashboards for data teamsnot Dataiku

Where each one falls short

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

Dataiku

  • Visual recipes are stored as Dataiku's own configuration and do not export as runnable SQL or Python, so a Flow with hundreds of visual steps has to be rebuilt from scratch if the organisation ever leaves, and that cost rises with every project added.
  • Production requires separate automation and API nodes, each installed and licensed, so the figure quoted for building models is not the figure for running them.
  • Licensing is per user across tiers, and the lower tiers are constrained enough that occasional contributors frequently end up needing a full seat, which makes a wide rollout cost more than the initial estimate suggested.
  • A self-hosted installation needs a dedicated administrator for upgrades, connection management, permissions and node topology, so the licence is a fraction of the real cost of ownership.
  • Computation pushes down to the warehouse or Spark cluster where it is billed by that provider, so a platform sold on making analysts self-sufficient can generate a large warehouse bill that nobody attributes back to it.

Periscope Data

  • The periscopedata.com domain now redirects to sisense.com, so Periscope Data is no longer sold as a standalone product
  • No Periscope Data pricing, plan or seat rate remains published at the original domain
  • Buyers must now purchase through Sisense, whose own pricing is not published as a rate card

Pricing, plan by plan

Dataiku

Free
  • Free EditionFree
    • Single user
    • Core features
  • EnterpriseFree
    • Full platform
    • Collaboration
    • MLOps

Periscope Data

$1000/month
  • Team$1000/month
    • SQL Analytics
    • Python/R
    • Dashboards
  • EnterpriseFree
    • Advanced Features
    • Custom Integrations
    • Premium Support

Which should you pick?

Choose Dataiku if

  • You need visual flow.
  • You want to start without paying.
  • You work on Linux, Mac, Windows, Web.
  • You also want visual recipes.
Dataiku review

Choose Periscope Data if

  • You need sql editor.
  • You work on Web, Cloud.
  • You also want python/r integration.
Periscope Data review

Questions people ask

Is Dataiku or Periscope Data better?
Neither clearly leads. Dataiku starts at Free and Periscope Data at $1000/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dataiku or Periscope Data?
Dataiku has a free tier; the other does not. Paid plans start at Free for Dataiku and $1000/month for Periscope Data.
Does Dataiku or Periscope Data run on more platforms?
Dataiku runs on Linux, Mac, Windows, Web. Periscope Data runs on Web, Cloud.
Can I use Dataiku for free?
Yes. Dataiku has a free tier, so you can try it without paying. Periscope Data starts at $1000/month.
What is Dataiku best used for?
Dataiku is most often used for organisations where analysts and data scientists must collaborate on the same pipeline rather than exchanging extracts, regulated model risk environments needing documented lineage, sign-off and a record of how a production model was produced, pushing heavy transformations down into a cloud warehouse while keeping the pipeline definition in one reviewable place, large enterprises replacing a sprawl of spreadsheets and unmanaged scripts with something a governance function will accept. Of those, organisations where analysts and data scientists must collaborate on the same pipeline rather than exchanging extracts and regulated model risk environments needing documented lineage, sign-off and a record of how a production model was produced are not what Periscope Data is typically brought in for.
What can Dataiku do that Periscope Data cannot?
Dataiku covers Visual Flow, Visual recipes, Code recipes and notebooks, Computation pushdown. Periscope Data covers SQL Editor, Python/R Integration, Version Control, Caching.

Answered from the vendors’ own pages

Dataiku: Is there a free version?

There is a free edition with limits on users and features, adequate for evaluation and personal work. Anything a team runs in production is a negotiated commercial agreement.

Periscope Data: Does Sisense offer a free trial?

Yes. Sisense offers a free trial of their Self-Serve plan. You can try features like data warehouse connectivity, built-in AI for natural-language queries, auto-narratives, and customer assistant features.

Source
Dataiku: Do I have to write code to use it?

No. That is the premise. An analyst can build a complete pipeline through visual recipes, and a data scientist can write Python next to it in the same Flow.

Periscope Data: What is the difference between Sisense Self-Serve and Enterprise plans?

The Self-Serve plan is for startups and teams and includes basic connectivity and AI features with iframe embedding. The Enterprise plan is for regulated industries and includes multi-tenant architecture, HIPAA readiness, column-level security, single sign-on, on-premise deployment options, 99.99% SLA, and 30-day backups.

Source
Dataiku: Where does the computation actually run?

Wherever you connect it. Transformations are pushed down into the warehouse, database or Spark cluster where the data lives, which is efficient and also means the compute cost appears on that provider's bill rather than Dataiku's.

Periscope Data: How do I access the Sisense Enterprise plan?

The Enterprise plan requires contacting Sisense for a demo and custom quote. There is no self-service signup for this tier.

Source
Dataiku: Can I export my work if we leave?

Code recipes are your code and leave with you. Visual recipes do not export as equivalent code, so the visual portion of a Flow has to be reimplemented, and that portion tends to be the majority in the projects where the platform succeeded best.

Dataiku: Self-hosted or cloud?

Both are offered. Self-hosting gives control over data residency and networking and requires an administrator; the managed cloud removes that work and moves the constraint to what the vendor's environment supports.

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