TrustRadius

Azure Databricks vs. Ray.io

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Databricks
Score 8.7 out of 10
N/A
Azure Databricks is a service available on Microsoft's Azure platform and suite of products. It provides the latest versions of Apache Spark so users can integrate with open source libraries, or spin up clusters and build in a fully managed Apache Spark environment with the global scale and availability of Azure. Clusters are set up, configured, and fine-tuned to ensure reliability and performance without the need for monitoring. The solution includes autoscaling and auto-termination to improve…N/A
Ray.io
Score 0.0 out of 10
N/A
Ray is an open-source unified compute framework used to scale AI and Python workloads — from reinforcement learning to deep learning to tuning, and model serving. Ray boasts a rich set of libraries and integrations. Alternately, Anyscale is a managed cloud offering — from the creators of the Ray project — to create, run and manage a Ray workload.N/A
Pricing
Azure DatabricksRay.io
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure DatabricksRay.io
Free Trial
NoNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
Azure DatabricksRay.io
Considered Both Products
Azure Databricks
Verified User
Anonymous
Chose Azure Databricks
Against all the tools I have used, Azure Databricks is by far the most superior of them all! Why, you ask? The UI is modern, the features are never ending and they keep adding new features. And to quote Apple, "It just works!"
Far ahead of the competition, the delta lakehouse …
Ray.io

No answer on this topic

Features
Azure DatabricksRay.io
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Azure Databricks
8.1
Ratings
3% below category average
Ray.io
-
Ratings
Connect to Multiple Data Sources6.20 Ratings00 Ratings
Extend Existing Data Sources9.00 Ratings00 Ratings
Automatic Data Format Detection9.00 Ratings00 Ratings
MDM Integration8.00 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Azure Databricks
6.4
Ratings
27% below category average
Ray.io
-
Ratings
Visualization5.90 Ratings00 Ratings
Interactive Data Analysis6.90 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Azure Databricks
8.0
Ratings
2% below category average
Ray.io
-
Ratings
Interactive Data Cleaning and Enrichment7.00 Ratings00 Ratings
Data Transformations9.00 Ratings00 Ratings
Data Encryption9.00 Ratings00 Ratings
Built-in Processors7.10 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Azure Databricks
8.3
Ratings
1% below category average
Ray.io
-
Ratings
Multiple Model Development Languages and Tools8.10 Ratings00 Ratings
Automated Machine Learning9.00 Ratings00 Ratings
Single platform for multiple model development8.00 Ratings00 Ratings
Self-Service Model Delivery8.00 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Azure Databricks
8.5
Ratings
0% below category average
Ray.io
-
Ratings
Flexible Model Publishing Options8.00 Ratings00 Ratings
Security, Governance, and Cost Controls9.00 Ratings00 Ratings
Best Alternatives
Azure DatabricksRay.io
Small Businesses
Jupyter Notebook
Jupyter Notebook
Score 9.4 out of 10
InterSystems IRIS
InterSystems IRIS
Score 7.7 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
Azure DatabricksRay.io
Likelihood to Recommend
9.8
(0 ratings)
-
(0 ratings)
Usability
8.0
(0 ratings)
-
(0 ratings)
User Testimonials
Azure DatabricksRay.io
Likelihood to Recommend
Having access to all databases and tables in one place is what has helped me and my team to function better. The in built functionality/access to SQL and Python is definitely an added bonus! The icing on the cake is the ability to export your data into an Excel spreadsheet for additional analysis. If you have less to no working knowledge of SQL or Python, its better to look at alternatives.
Verified User
Anonymous
Read full review
No answers on this topic
Pros
  • Consistently great performance when dealing with huge scale data with the help of spark architecture
  • Magic commands such as spark sql, pyspark, scala . This comes really handy in day to day work
  • Integration with other Azure services is super smooth and robust
Pranshu Gupta | TrustRadius Reviewer
Pranshu Gupta
Associate Data Engineer
Read full review
No answers on this topic
Cons
  • Intuitive interface
  • Ease of use
  • Providing FAQ or QRGs
Verified User
Anonymous
Read full review
No answers on this topic
Usability
Based on my extensive use of Azure Databricks for the past 3.5 years, it has evolved into a beautiful amalgamation of all the data domains and needs. From a data analyst, to a data engineer, to a data scientist, it jas got them all! Being language agnostic and focused on easy to use UI based control, it is a dream to use for every Data related personnel across all experience levels!
Verified User
Anonymous
Read full review
No answers on this topic
Alternatives Considered
Against all the tools I have used, Azure Databricks is by far the most superior of them all! Why, you ask? The UI is modern, the features are never ending and they keep adding new features. And to quote Apple, "It just works!" Far ahead of the competition, the delta lakehouse platform also fares better than it counterparts of Iceberg implementation or a loosely bound Delta Lake implementation of Synapse
Verified User
Anonymous
Read full review
No answers on this topic
Return on Investment
  • The support team is amazing, they help you at every stage of the projects, from sales to delivery.
  • On a framework level, it has had an amazing impact and has reduced the clients overall data platform costs by a staggering 65%
  • There has been a 40% Manual work requirement on average for the clients when they move to Azure Databricks Data Platform
Verified User
Anonymous
Read full review
No answers on this topic
ScreenShots