Dataiku vs. Vertex AI

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Dataiku
Score 8.3 out of 10
N/A
The Dataiku platform unifies all data work, from analytics to Generative AI. It can modernize enterprise analytics and accelerate time to insights with visual, cloud-based tooling for data preparation, visualization, and workflow automation.N/A
Vertex AI
Score 8.8 out of 10
N/A
Vertex AI on Google Cloud is an MLOps solution, used to build, deploy, and scale machine learning (ML) models with fully managed ML tools for any use case.
$0
Starting at
Pricing
DataikuVertex AI
Editions & Modules
Discover
Contact sales team
Business
Contact sales team
Enterprise
Contact sales team
Imagen model for image generation
$0.0001
Starting at
Text, chat, and code generation
$0.0001
per 1,000 characters
Text data upload, training, deployment, prediction
$0.05
per hour
Video data training and prediction
$0.462
per node hour
Image data training, deployment, and prediction
$1.375
per node hour
Offerings
Pricing Offerings
DataikuVertex AI
Free Trial
YesYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional DetailsPricing is based on the Vertex AI tools and services, storage, compute, and Google Cloud resources used.
More Pricing Information
Community Pulse
DataikuVertex AI
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Features
DataikuVertex AI
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Dataiku
9.1
4 Ratings
9% above category average
Vertex AI
-
Ratings
Connect to Multiple Data Sources10.04 Ratings00 Ratings
Extend Existing Data Sources10.04 Ratings00 Ratings
Automatic Data Format Detection10.04 Ratings00 Ratings
MDM Integration6.52 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Dataiku
10.0
4 Ratings
18% above category average
Vertex AI
-
Ratings
Visualization9.94 Ratings00 Ratings
Interactive Data Analysis10.04 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Dataiku
10.0
4 Ratings
20% above category average
Vertex AI
-
Ratings
Interactive Data Cleaning and Enrichment10.04 Ratings00 Ratings
Data Transformations10.04 Ratings00 Ratings
Data Encryption10.04 Ratings00 Ratings
Built-in Processors10.04 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Dataiku
8.7
4 Ratings
3% above category average
Vertex AI
-
Ratings
Multiple Model Development Languages and Tools5.14 Ratings00 Ratings
Automated Machine Learning10.04 Ratings00 Ratings
Single platform for multiple model development10.04 Ratings00 Ratings
Self-Service Model Delivery10.04 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Dataiku
9.0
4 Ratings
5% above category average
Vertex AI
-
Ratings
Flexible Model Publishing Options9.04 Ratings00 Ratings
Security, Governance, and Cost Controls9.04 Ratings00 Ratings
Best Alternatives
DataikuVertex AI
Small Businesses
Jupyter Notebook
Jupyter Notebook
Score 9.2 out of 10
Google Cloud AI
Google Cloud AI
Score 8.5 out of 10
Medium-sized Companies
Posit
Posit
Score 9.8 out of 10
Google Cloud AI
Google Cloud AI
Score 8.5 out of 10
Enterprises
Posit
Posit
Score 9.8 out of 10
Google Cloud AI
Google Cloud AI
Score 8.5 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
DataikuVertex AI
Likelihood to Recommend
10.0
(4 ratings)
7.3
(10 ratings)
Usability
10.0
(1 ratings)
-
(0 ratings)
Performance
-
(0 ratings)
7.6
(7 ratings)
Support Rating
9.4
(3 ratings)
-
(0 ratings)
Configurability
-
(0 ratings)
7.4
(7 ratings)
User Testimonials
DataikuVertex AI
Likelihood to Recommend
Dataiku
Dataiku DSS is very well suited to handle large datasets and projects which requires a huge team to deliver results. This allows users to collaborate with each other while working on individual tasks. The workflow is easily streamlined and every action is backed up, allowing users to revert to specific tasks whenever required. While Dataiku DSS works seamlessly with all types of projects dealing with structured datasets, I haven't come across projects using Dataiku dealing with images/audio signals. But a workaround would be to store the images as vectors and perform the necessary tasks.
Read full review
Google
In terms of building Gen AI products, Vertex AI is a solid platform. For example, in an ATS, Gen AI features such as Notes, Call Logs, or Email Summarization, generating Job Descriptions, generating Candidate Summaries, Targeted Email Campaigns, etc.
Read full review
Pros
Dataiku
  • The intuitiveness of this tool is very good.
  • Click or Code - If you are a coder, you can code. If you are a manager, you can wrangle with data with visuals
  • The way you can control things, the set of APIs gives a lot of flexibility to a developer.
Read full review
Google
  • It simplifies automation by consolidating functionalities at one place.
  • Can allocate cpu, gpu and memory for cost management.
  • Friendly interface and has very good documentation.
  • Compatible with google cloud services and is scalable.
Read full review
Cons
Dataiku
  • End product deployment.
Read full review
Google
  • I do wish that Vertex AI has something like an index of technical terms, so people can learn to use it faster instead of seeing 1 new & strange term at a time
  • As an organization, we have our extensive practices with DevOps, together with the familiar tools & pipelines, Vertex AI's having its own set of tools doesn't help with making the learning & integrating curves less steep
  • Similar to lots of other AI offerings, Vertex AI docs tend to have lots of buzzwords yet few technical details, making it seems like reading ads instead of technical docs
Read full review
Usability
Dataiku
As I have described earlier, the intuitiveness of this tool makes it great as well as the variety of users that can use this tool. Also, the plugins available in their repository provide solutions to various data science problems.
Read full review
Google
No answers on this topic
Performance
Dataiku
No answers on this topic
Google
Vertex AI handles things efficiently. Whatever solution you make is very scalable with such tech, only thing to lookout would be, easy to integrate,easy to use, documentation is pretty good that's the best part
Read full review
Support Rating
Dataiku
The support team is very helpful, and even when we discover the missing features, after providing enough rational reasons and requirements, they put into it their development pipeline for the future release.
Read full review
Google
No answers on this topic
Alternatives Considered
Dataiku
Strictly for Data Science operations, Anaconda can be considered as a subset of Dataiku DSS. While Anaconda supports Python and R programming languages, Dataiku also provides this facility, but also provides GUI to creates models with just a click of a button. This provides the flexibility to users who do not wish to alter the model hyperparameters in greater depths. Writing codes to extract meaningful data is time consuming compared to Dataiku's ability to perform feature engineering and data transformation through click of a button.
Read full review
Google
I have used OpenAI for their LLM and Vector Embedding service, they are really good at it. But Vertex AI has other better services like training pipeline , depolyment creation etc.
Read full review
Return on Investment
Dataiku
  • Given its open source status, only cost is the learning curve, which is minimal compared to time savings for data exploration.
  • Platform also ease tracking of data processing workflow, unlike Excel.
  • Build-in data visualizations covers many use cases with minimal customization; time saver.
Read full review
Google
  • Since the platform can be used by non-developers, it has made the forecast modelling process in our company far more efficient.
  • Since it is a cloud based platform, it has improved collaboration among colleagues.
  • It has helped marketing to better target customers.
Read full review
ScreenShots

Vertex AI Screenshots

Screenshot of an introduction to generative AI on Vertex AI - Vertex AI Studio offers a Google Cloud console tool for rapidly prototyping and testing generative AI models.Screenshot of gen AI for summarization, classification, and extraction - Text prompts can be created to handle any number of tasks with Vertex AI’s generative AI support. Some of the most common tasks are classification, summarization, and extraction. Vertex AI’s PaLM API for text can be used to design prompts with flexibility in terms of their structure and format.Screenshot of Custom ML training overview and documentation - An overview of the custom training workflow in Vertex AI, the benefits of custom training, and the various training options that are available. This page also details every step involved in the ML training workflow from preparing data to predictions.Screenshot of ML model training and creation -  A guide that shows how Vertex AI’s AutoML is used to create and train custom machine learning models with minimal effort and machine learning expertise.Screenshot of deployment for batch or online predictions - When using a model to solve a real-world problem, the Vertex AI prediction service can be used for batch and online predictions.