Azure Databricks vs Domino Data Science Platform comparison

Azure Databricks vs. Domino Data Science Platform

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Azure Databricks

Ranking in Data Science Platforms

20th

Average Rating

8.0

Reviews Sentiment

3.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Domino Data Science Platform

Ranking in Data Science Platforms

17th

Average Rating

7.6

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Featured Reviews

VishnuReddy2

Consulting Enterprise Architect at R2V2.ai

Unified data platform has supported real-time analytics and advanced machine learning workflows

The real-time processing with Azure Databricks is supported through integration from external systems, for which we have to go with tools such as Matillion's HVR or Kafka. I have experience using HVR, high-volume replication. You get real-time data replicated into Azure Databricks using these tools. When looking for performance metrics in Azure Databricks, it depends on the processing. It can process millions of records quickly, and it is driven by the Spark framework, which is pretty strong in terms of framework perspective. The columnar database is another strong feature which helps enhance its performance. Prior to the introduction of Unity Catalog, there was no metadata capability in Azure Databricks. It was very simplistic, but now with the Unity Catalog introduction and Delta Sharing capabilities, Azure Databricks is at the top-notch at this point in time. In comparison, SAP BW is a little bit more mature because apart from RBAC, it gives data-level authorization, which is a little bit not that great in Azure Databricks at this point in time.

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AHMEDSAHRAOUI

Machine Learning Engineer at Unemployed

Accelerated machine learning model development with seamless deployment

We used Domino Data Science Platform for developing and working with machine learning models. It facilitated end-to-end development processes. Domino is based on Git, enabling collaboration similar to using Git. Each user operates on their own equivalent of a branch or fork, and once finished, they…

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Azure Databricks gives the capability to handle a lot of big data use cases and machine learning use cases, but machine learning use cases need quite a lot of compute power, and that is where the cost spikes up."

"The best features in Azure Databricks for me are that it's easy to use, flexible, and has fast processing, and you can use multiple data types."

"Regarding the learning curve, it is a good technology; it is the first time I am working on a cloud platform, and before that, I have not worked on any data engineering tool that is on cloud, so it is good learning."

"The workspaces, which are like wrappers of Docker containers, made it easy to start development environments using Domino."

"The scalability of the solution is good; I'd rate it four out of five."

"We primarily use the solution for customer retention, but there are a lot of use cases for this particular product."

Cons

"At this point, I cannot comment on the cost being ideal; it is on the higher side, but in the cloud-based environment, compared to on-premise, it could be far lesser in cost."

"I have given the product a rating of six out of ten just because I do not use all of the functionalities, and I see some direction for improvement as well; also, every product has something to improve, and I have not used many features in this product."

"The deployment of large language models (LLMs) could be improved."

"The predictive analysis feature needs improvement."

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

36%

Manufacturing Company

Insurance Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What is your experience regarding pricing and costs for Azure Databricks?

Regarding the licensing cost of Azure Databricks, it has evolved quite a lot. The compute is the biggest cost, as with any other big data solutions. The storage cost is almost minimal or negligible...

What needs improvement with Azure Databricks?

Overall, my experience has been positive with Azure Databricks; they have many features, but there is no use case for me to use those features, such as Delta Live Tables and Genie. In my opinion, I...

What is your primary use case for Azure Databricks?

The primary use cases for me are the reportings I have to do, so I need to ingest data from the file and create reports. I do not utilize it for real-time data processing. I have not integrated Azu...

What needs improvement with Domino Data Science Platform?

The deployment of large language models (LLMs) could be improved. Currently, Domino provides a simple server that cannot handle big deployments, which is not suitable for LLMs.

What is your primary use case for Domino Data Science Platform?

What advice do you have for others considering Domino Data Science Platform?

It's important to have a DevOps team well-versed with cloud-native solutions to manage Domino effectively. Relying solely on data scientists might not be sufficient. I'd rate the solution eight out...

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Product Reports

Data Science Platforms

Download Azure Databricks product report

Data Science Platforms

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Also Known As

No data available

Domino Data Lab Platform

Interactive Demo

Demo not available

Microsoft

Domino Data Lab

Overview

Azure Databricks is an advanced analytics platform combining the best of Microsoft's Azure and Apache Spark. It provides a powerful solution for big data processing, machine learning, and collaborative data projects, designed to help organizations unlock insights and foster innovation.

Azure Databricks integrates seamlessly with Azure services, offering end-to-end data solutions for enterprises. Its collaborative environment supports data engineers and scientists, facilitating faster data preparation and model training. The platform enhances productivity with automated cluster management and simplified data workflows, fostering data-driven decision-making.

What are the key features of Azure Databricks?

Collaborative Workspace: Enables teamwork between data engineers and scientists through shared notebooks and real-time collaboration.
Auto-scaling Clusters: Automatically scales computing resources up or down based on demand, optimizing performance and cost-efficiency.
Machine Learning Support: Provides tools to develop and deploy machine learning models efficiently, leveraging the power of Apache Spark.
Azure Integration: Seamlessly connects with Azure services like Azure Data Lake Storage, Azure Synapse Analytics, and Power BI.

What benefits and ROI should users consider?

Scalability: Easily scales to accommodate growing data needs without substantial infrastructure changes.
Cost Efficiency: Optimizes resource usage through automated scaling, reducing operational costs.
Increased Productivity: Enhances team productivity with collaborative features and streamlined data processing workflows.
Data-Driven Insights: Empowers organizations to derive actionable insights from big data through effective analytics and machine learning capabilities.

Azure Databricks is widely implemented across industries like finance, healthcare, and retail. It supports financial institutions in fraud detection and risk analytics, healthcare providers in patient data analysis and operational efficiency, and retailers in predictive analytics for inventory and customer engagement. Its ability to handle massive datasets and provide real-time analytics solutions makes it invaluable in transforming industry-specific processes.

Microsoft

Domino provides a central system of record that keeps track of all data science activity across an organization. Domino helps data scientists seamlessly orchestrate AWS hardware and software toolkits, increase flexibility and innovation, and maintain required IT controls and standards. Organizations can automatically keep track of all data, tools, experiments, results, discussion, and models, as well as dramatically scale data science investments and impact decision-making across divisions. The platform helps organizations work faster, deploy results sooner, scale rapidly, and reduce regulatory and operational risk.

Domino Data Lab

Sample Customers

Information Not Available

Allstate, GSK, AstraZeneca, Federal Reserve, US Navy, Bristol Myers Squibb, Bayer, BNP Paribas, Moodys, New York Life

Azure Databricks vs. Domino Data Science Platform