I Have GCP, Why Do I Need Dataiku?
Discover the synergy between Google Cloud Platform and Dataiku. Empower your teams, streamline ops, and future-proof your AI initiatives.
READ THE BLOGEmpower Your Entire Organization
With Dataiku on GCP, all users can access and process data from any storage resource, enabling a true 360-view of data.
Dataiku features like External Models, Deploy Anywhere, and the LLM Mesh allow business teams to consume, validate, deploy, monitor, and govern models in GCP VertexAI using the no-code interface.
Build Transparent & Traceable AI
Want to track progress of all data initiatives in a single place, ensuring the right workflows and processes are in place to deliver Responsible AI?
With Dataiku, consolidate oversight for greater risk management and compliance with the full support for Compute Engine monitoring native to Google Cloud Platform (GCP).
Increase Efficiency & Time-Savings
Run compute-intensive data science workloads, predictions, and models on BigQuery. Plus, benefit from rapid deployment of pre-built images with Dataiku on Google Cloud.
Dataiku also boosts efficiency with prebuilt components, processes, and the ability to reuse existing projects. Combined with Scenarios to automate repetitive tasks, teams will have more time to focus on what matters.
Centralize Your AI Infrastructure
With Dataiku and Google Cloud, IT teams can consolidate all users onto a single platform, deprecating outdated tools and reclaiming budget for other projects. This means reducing licensing costs by trading disparate analytics tools and solutions for a single platform.
Scale the Use of Generative AI
The Dataiku LLM Mesh addresses the concerns related to cost management, compliance, and technological dependencies while providing the flexibility to use and validate the growing number of models like Google Gemini Pro.
Dataiku’s integration with Google Vertex AI allows customers, both business and data experts, to take advantage of multiple LLMs offered by GCP with built-in security guardrails, such as PII or toxicity detection, to build and deploy GenAI applications.
Leverage End-to-End Integrations
From native connections to Google BigQuery, Google Cloud Storage, and Google Cloud SQL to seamlessly leveraging GCP compute and much more, Dataiku and GCP integrate across all parts of the data and AI project lifecycle.
The result? Faster time to insights and more people across the organization leveraging your existing investments in Google Cloud for even more value.
Collaboration is really important. If we’re just a team with everyone running their own notebooks on their own machines, you can’t say ‘hey check out this thing I did a few weeks ago.’ With the power of Dataiku and GCP, we can work on projects at the same time in a way we couldn’t do before. — Ben Powis, Head of Data Science, MandM Direct
Everything You Need to Create & Deploy Production-Ready AI
Read the flyer on how Dataiku and GCP work together and deep dive in the integration.
GCP AND DATAIKU TOGETHERLightning Fast Value From Data Science
See how MandM uses Dataiku’s deployment infrastructure and MLOps capabilities to amplify the impact of their modest data science team.
READ MANDM'S STORYEmpowering Data Prep and BI Excellence
We know that data preparation challenges are overwhelming, so here's how you can overcome them successfully with Dataiku and Google Cloud SQL.
READ THE BLOGGet Dataiku on Google Cloud Marketplace
Learn more about how Dataiku & AWS work together and how to get started.
LEARN MORE
The Total Economic Impact™️
Of Dataiku
A composite organization in the commissioned study conducted by Forrester Consulting on behalf of Dataiku saw the following benefits:
70 %+
reduction in time spent on data analysis, extraction, and preparation.
42 %
reduction in time spent on model lifecycle activities (training, deployment, and monitoring).
413 %
return on investment
$
23 .5M
net present value over three years.
