Snowflake vs Dataiku: which is better?

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What is Dataiku?

Dataiku, founded in 2013, is a data science and data analytics platform aimed at democratizing access to data and encouraging collaboration. It offers an intuitive user interface, enabling data analysts, data engineers and data scientists to work together efficiently.

The platform covers the entire data analysis lifecycle, from preparation to the modeling of machine learning algorithms and their deployment. It stands out for its ability to facilitate collaborative working, enabling users from different fields to share projects and insights.

What is Snowflake?

Snowflake is a cloud-based datawarehouse that uses a unique architecture to offer businesses and organizations high scalability and flexibility when managing and analyzing their data. Snowflake's main advantage is its ability to share data securely, making it a preferred choice for cloud analytics and business intelligence tools.

What are the differences between Dataiku and Snowflake?

What are the differences between the two solutions?

  • Dataiku and Snowflake offer complementary solutions in the analytics and AI ecosystem. Dataiku is a collaborative AI platform that enables end-to-end management of data analysis projects, facilitating collaboration between data and business experts. It supports a variety of tasks, from data preparation to modeling, with a focus on ease of use and management of complex projects.
  • For its part, Snowflake offers a cloud data platform that excels in large-scale data storage and analysis, thanks to its scalable, high-performance architecture. It stands out for its ability to dynamically adapt to computing and storage needs, making data analysis more efficient and less costly.
  • By using Dataiku and Snowflake together, companies can combine Dataiku's project management and collaboration with Snowflake's storage and computing power. This integration enables rapid development and deployment of analytics and AI applications in the cloud, optimizing resources and reducing time-to-market .

Snowflake pricing and Dataiku pricing

Snowflake

What pricing for Snowflake?

Snowflake has a pay-per-use billing system, meaning that users only pay when they use the solution.

Computing costs are billed on a per-use basis via an internal Snowflake metric, "Snowflake Credits", and depend on the use of 3 types of resources:
- Virtual warehouses, which are managed by the user and consume credits when queries are used
- Serverless compute, managed by Snowflake, which handles automatic functions (Copying files, Data Quality functions, Materializes views, etc.)
- Cloud services, which coordinate Snowflake's activities and are invoiced to the customer only if their consumption exceeds 10% of the daily use of the virtual warehouses.

The number of "Snowflake Credits" required to make transactions varies according to the size of the virtual warehouses.

The price of a credit can vary between €2 and €4 per credit, depending on the services requested. In addition to pricing, Snowflake charges for data storage, on a monthly basis, per TB stored.

Dataiku

Pricing for Dataiku?

Dataiku offers a variety of plans to suit different team sizes and needs, from a free offer to more advanced enterprise options. Here's an overview:

  1. Free Edition: intended for permanent installation for up to 3 users, enabling access to open source files or databases, to be installed on your own infrastructure.
  2. Discover: Designed for small teams of up to 5 users, including more than 20 connectors and the ability to process in-memory or in-database (Spark) with limited automation.
  3. Business: Suitable for medium-sized teams of up to 20 users, offering unlimited and elastic computations with Kubernetes, full automation and advanced security, but with limited deployment.
  4. Enterprise: Provides scalable automation and governance, including all connectors, full deployment capabilities, isolation framework, and unlimited instance and resource governance.
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Discover the best alternative to Dataiku & Snowfake

Reason 1

A unified Data path

  • Cleyrop enables you to manage the entire data lifecycle: ingestion, storage management and processing of structured and unstructured data, governance and data serving (analytics/BI, generative AI applications, etc.).
  • Unlike Dataiku and Snowflake, which need to be integrated into modern data stacks with ETL, data governance and analytics tools, Cleyrop offers a single access point for all your data needs
  • Cleyrop can be installed on any hosting provider, including Cloud de Confiance, as well as On-Premise on your own infrastructure. And it can be done quickly, with no development required on your part.
Reason 2

The sovereign alternative to Dataiku and Snowflake

  • Cleyrop is deployed on trusted infrastructures, notably SecNumCloud, to guarantee the highest standards of data security and confidentiality.
  • You have the option of choosing to host your data on European infrastructures, guaranteeing total immunity to extraterritorial laws (Cloud Act, FISA...).
  • Cleyrop is a committed player in the French & European data ecosystem. A member of "BPI les excellences BPI" and winner of French Tech 2030, Cleyrop is a trusted partner of French public institutions (Atout France, Ministry of the Army, IRSN...).
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Reason 3

A team that listens to you and adapts to your needs

  • Cleyrop offers you a high level of SLA and a support team at your disposal to help you develop your data & AI use cases from day one.
  • With Cleyrop, you're not just a customer number. We offer you the opportunity to be part of the customer advisory board, a program enabling you to guide the roadmap and development of new Cleyrop features.
  • Our support teams are based in France and have a high level of training in data-related subjects, to help you meet your challenges and develop your first use cases.

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