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Use Archways to compare Dataiku with alternatives and find the best software for your needs.
End-to-end data science and machine learning platform that enables teams to collaborate, build, and deploy AI solutions efficiently.
Dataiku is a powerhouse for organizations looking to operationalize AI and data science at scale, especially where collaboration between data scientists, analysts, and business users is critical. Its standout features include a highly visual, code-optional interface, robust automation, and strong governance tools, making it a top choice for enterprises with complex data pipelines and strict compliance needs. However, the platform's depth and flexibility come with a learning curve and require a mature data team to unlock its full potential—smaller teams or those new to data science may find it overwhelming and costly. Dataiku's pricing and implementation are best justified for mid-sized to large organizations aiming for cross-functional AI adoption and production-grade deployments, rather than quick, lightweight analytics.
Implementation is non-trivial, often requiring dedicated onboarding, integration with existing data infrastructure, and ongoing support from both IT and data science teams.
Best suited for organizations with a mix of data engineers, data scientists, business analysts, and IT support; cross-functional collaboration is key to maximizing value.
Designed to handle high data volumes and complex workflows; ideal for organizations with growing or already large-scale data operations and ambitions for enterprise-wide AI adoption.
Conversational support, onboarding, automation
SaaS, fintech, PLG, high inbound support
5-500 agents
Chat, in-app, email, social
$$$$ (Premium)
Per-seat + Usage-based
$50K - $250K
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This information is provided by Archways for guidance purposes only. While we strive for accuracy, specific details may need to be confirmed with the vendor.