TrustRadius

Iguazio vs. Shakudo Platform

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Iguazio
Score 10.0 out of 10
N/A
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…N/A
Shakudo Platform
Score 6.0 out of 10
N/A
The Shakudo platform ensures compatibility across data tools to allow companies to build the best data infrastructure for their needs. It supports over 60 popular data tools, and enables users to create the optimal data stack for any custom needs, and helps users to create a more reliable and performant stack. And it helps users to: Build a stack that works precisely for the company without worrying about maintenance costs or stability Using a single UI, let teams use and gain…N/A
Pricing
IguazioShakudo Platform
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IguazioShakudo Platform
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
IguazioShakudo Platform
Features
IguazioShakudo Platform
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Iguazio
9.9
2 Ratings
17% above category average
Shakudo Platform
-
Ratings
Connect to Multiple Data Sources10.02 Ratings00 Ratings
Extend Existing Data Sources10.02 Ratings00 Ratings
Automatic Data Format Detection10.02 Ratings00 Ratings
MDM Integration9.52 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Iguazio
9.7
2 Ratings
15% above category average
Shakudo Platform
-
Ratings
Visualization9.52 Ratings00 Ratings
Interactive Data Analysis10.02 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Iguazio
9.7
2 Ratings
17% above category average
Shakudo Platform
-
Ratings
Interactive Data Cleaning and Enrichment10.02 Ratings00 Ratings
Data Transformations9.52 Ratings00 Ratings
Data Encryption9.52 Ratings00 Ratings
Built-in Processors10.02 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Iguazio
9.7
2 Ratings
15% above category average
Shakudo Platform
-
Ratings
Multiple Model Development Languages and Tools10.02 Ratings00 Ratings
Automated Machine Learning9.52 Ratings00 Ratings
Single platform for multiple model development10.02 Ratings00 Ratings
Self-Service Model Delivery9.52 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Iguazio
9.7
2 Ratings
13% above category average
Shakudo Platform
-
Ratings
Flexible Model Publishing Options10.02 Ratings00 Ratings
Security, Governance, and Cost Controls9.52 Ratings00 Ratings
Best Alternatives
IguazioShakudo Platform
Small Businesses
Jupyter Notebook
Jupyter Notebook
Score 9.4 out of 10
Jupyter Notebook
Jupyter Notebook
Score 9.4 out of 10
Medium-sized Companies
Posit
Posit
Score 10.0 out of 10
Posit
Posit
Score 10.0 out of 10
Enterprises
Posit
Posit
Score 10.0 out of 10
Posit
Posit
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
IguazioShakudo Platform
Likelihood to Recommend
10.0
(2 ratings)
-
(0 ratings)
User Testimonials
IguazioShakudo Platform
Likelihood to Recommend
Iguazio
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.
Douglas Carter | TrustRadius Reviewer
Douglas Carter
Technical Manager
Read full review
Shakudo
No answers on this topic
Pros
Iguazio
  • Dynamic scaling capacity.
  • Central Metadata management.
  • Data ingestion and preparation.
Izaan Jivin | TrustRadius Reviewer
Izaan Jivin
Senior Project Manager
Read full review
Shakudo
No answers on this topic
Cons
Iguazio
  • The user interface is not so much user-friendly, and easy-to-use, navigate.
Douglas Carter | TrustRadius Reviewer
Douglas Carter
Technical Manager
Read full review
Shakudo
No answers on this topic
Alternatives Considered
Iguazio
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.
Izaan Jivin | TrustRadius Reviewer
Izaan Jivin
Senior Project Manager
Read full review
Shakudo
No answers on this topic
Return on Investment
Iguazio
  • Is a fully integrated solution with a user-friendly portal.
  • Manage our ML pipeline end-to-end using Full-stack,user friendly environment.
  • Iguazio enables our teams to manage all artefacts throughout their lifecycle.
  • Enhance team work and collaboration in our teams.
Douglas Carter | TrustRadius Reviewer
Douglas Carter
Technical Manager
Read full review
Shakudo
No answers on this topic
ScreenShots

Shakudo Platform Screenshots

Screenshot of Shakudo Platform Dashboard UIScreenshot of Jobs use the same environment config as Sessions, so users can have the same dependencies and configurations available as they had during development. Jobs can be run on demand using Immediate jobs, or scheduled with a Cron expression using Scheduled Jobs. The integrated Job system can be used on its own, or it can be used to run code with tools like Airflow or Prefect.Screenshot of When deploying a project and publishing the results, Services help to deploy custom long-running programs like web servers to host results, or integrations can be used. From publishing processed data to S3 buckets, to hosting trained models on Nvidia Triton, to publishing dashboards in Apache Superset, it helps data scientists deploy their projects and their artifacts with minimal configuration or maintenance required