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.
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Iguazio
Score10 out of 10
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Iguazio, headquartered in Herzliya, provides a Data Science Platform to automate machine learning pipelines. It aims to accelerate the development, deployment and management of AI applications at scale, enabling data scientists to focus on delivering better, more accurate and more powerful solutions instead of spending their time on infrastructure. The platform is open and deployable anywhere - multi-cloud, on prem or edge. The vendor states Iguazio powers real-time data science applications for…
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Pricing
Dataiku
Iguazio
Editions & Modules
Discover
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Business
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Enterprise
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Offerings
Pricing Offerings
Dataiku
Iguazio
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Features
Dataiku
Iguazio
Platform Connectivity
Comparison of Platform Connectivity features of Dataiku and Iguazio
Feature
Dataiku
9.1
4 Ratings
8% above category average
Iguazio
9.9
2 Ratings
17% above category average
Connect to Multiple Data Sources
10.04 Ratings
10.02 Ratings
Extend Existing Data Sources
10.04 Ratings
10.02 Ratings
Automatic Data Format Detection
10.04 Ratings
10.02 Ratings
MDM Integration
6.52 Ratings
9.52 Ratings
Data Exploration
Comparison of Data Exploration features of Dataiku and Iguazio
Feature
Dataiku
10.0
4 Ratings
18% above category average
Iguazio
9.7
2 Ratings
15% above category average
Visualization
9.94 Ratings
9.52 Ratings
Interactive Data Analysis
10.04 Ratings
10.02 Ratings
Data Preparation
Comparison of Data Preparation features of Dataiku and Iguazio
Feature
Dataiku
10.0
4 Ratings
20% above category average
Iguazio
9.7
2 Ratings
17% above category average
Interactive Data Cleaning and Enrichment
10.04 Ratings
10.02 Ratings
Data Transformations
10.04 Ratings
9.52 Ratings
Data Encryption
10.04 Ratings
9.52 Ratings
Built-in Processors
10.04 Ratings
10.02 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Dataiku and Iguazio
Feature
Dataiku
8.7
4 Ratings
4% above category average
Iguazio
9.7
2 Ratings
15% above category average
Multiple Model Development Languages and Tools
5.14 Ratings
10.02 Ratings
Automated Machine Learning
10.04 Ratings
9.52 Ratings
Single platform for multiple model development
10.04 Ratings
10.02 Ratings
Self-Service Model Delivery
10.04 Ratings
9.52 Ratings
Model Deployment
Comparison of Model Deployment features of Dataiku and Iguazio
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
With Iguazio we are able to scale up our organisations AI infrastructure which us vital to meet business goals and accelerate time-to-time. We are also able to manage our ML pipeline end-to-end using a full-stack,user-friendly environment, feature-rich integrated feature store and powerful data transformation and real-time feature engineering capabilities.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Execution, experiment, data, model tracking, and automated deployment is done automatically through the MLRun serverless runtime engine. MLRun maintains a project hierarchy with strict membership and cross-team collaboration. End-to-end data governance is fully solidified and managed with authentication and identity management. Customers securely share data by providing access directly to it and not to copies.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
