Dataiku Reviews

Multiple users indicate a positive outlook on the return from Dataiku, aiding compliance and architectural simplification. However, some express concerns over its pricing model and the challenge in quantifying returns due to diverse tool usage within organizations. While the simplification and accelerated development brought by Dataiku provide advantages, the competitive landscape and varied monetization responsibilities make it difficult for every user to clearly determine financial returns.

Enterprise users experience varying perspectives on Dataiku's pricing. Annual licensing fees are approximately €20 ($22 USD) per key for the basic version and €40 ($44 USD) per key for the comprehensive version. Many find it less expensive compared to competitors like Alteryx, yet others consider it costly, lacking a consumption-based model. Some perceive it as affordable for large companies, with no extra expenses beyond licensing costs.

• "Pricing is pretty steep. Dataiku is also not that cheap."
• "The annual licensing fees are approximately €20 ($22 USD) per key for the basic version and €40 ($44 USD) per key for the version with everything."

Dataiku is used for ETL development, data preparation, and data modeling. Organizations leverage it for predictions from time-series data, sentiment analysis, and small large language models. Users operate it for marketing, analytics, machine learning, and AI applications. Companies in sectors like oil and gas, telecommunications, and energy utilize Dataiku for data science, data migration, and pipeline management. It supports functions such as Jupyter Notebooks and rule-based alert systems for data quality.

Customer service and support for Dataiku are generally responsive and satisfactory, with quick replies and knowledgeable assistance. The team addresses inquiries efficiently, with positive mention of direct CTO interaction for complex issues. However, there are mixed opinions, with some mentioning inadequate support and billing concerns. Dataiku collaborates with local experts, enhancing industry-specific support. Many users highlight the rapid response time and expertise, but some rate it lower than expected. Dataiku's international presence is also noted.

Users reported that Dataiku's initial setup is straightforward, often completed within days regardless of company size. Many noted it was handled by the IT team or was pre-configured upon their arrival. Some highlighted the availability of tutorials and guidelines that ease the installation and maintenance process, even though resolving all issues for a stable version could take extra time. Deployment sometimes involves additional elements like HANA, Snowflake, or Databricks but remains smooth.

Dataiku is scalable, with several users successfully scaling it to accommodate larger teams. It integrates with cloud platforms and BigQuery, supporting both small and large organizations. Some users encounter slow performance and suggest improvements. Though most are satisfied with its scalability, rating it highly and not facing limitations, a few report issues and slower processing times. The consensus is that Dataiku provides effective scaling capabilities while highlighting areas for enhancement.

Users reported mixed experiences with Dataiku's stability. Some encountered bugs in SQL operations and server downtimes, affecting reliability, while others highlighted stable performance without noticeable issues. Resource management helps maintain consistency, though reliance on open-source components can lead to occasional instability. Shared platform usage sometimes causes freezing during complex tasks. Experiences vary based on usage and familiarity, with some rating it as moderately stable. Dataiku's stability can be context-dependent and user-specific.