Dataiku
LeaderThe Platform for AI Success.
MarketsData PreparationBusiness Intelligence (BI) and AnalyticsData Science & Machine Learning Platforms
Platform CoversData Transformation
The Platform for AI Success.
Published Oct 23, 2026
| Starting Price | Free edition available; paid editions require contact with vendor (no public itemized pricing) | Public pricing is usage-based (pay-as-you-go) with committed-use options | Typically sales-led enterprise pricing; public entry tiers are limited and vary by package |
| Typical fit | Organizations seeking an integrated environment covering data preparation, ML development, deployment, governance, and collaboration with visual workflows | Organizations standardizing on a lakehouse and scalable compute for data engineering and ML at large scale | Teams focused on AutoML-driven model development and model lifecycle management, often with less emphasis on visual data preparation |
| Key Strengths | Cross-functional collaboration and governed workflows combining visual and code-based tools | Scalability for Spark/SQL workloads, lakehouse architecture, and native cloud integration | AutoML acceleration and model lifecycle management capabilities |
| Key Weaknesses | Platform breadth can increase complexity; enterprise-oriented pricing; mixed reports on performance at scale | Requires engineering maturity for optimal use; costs can grow without governance | Less focused on collaborative, visual data preparation and general-purpose analytics workflows |
Dataiku and Databricks are frequently evaluated together; the product is often positioned as a collaborative, governed application layer that can sit on top of lakehouse compute platforms. Databricks focuses on large-scale compute, lakehouse architecture, and cloud-native integrations. Buyers should consider whether they need a collaborative, governed application layer with visual tooling (Dataiku) or prefer to build workflows directly on the lakehouse and associated tooling (Databricks), or a hybrid approach where the platform and lakehouse are used together.