Databricks vs Workday Prism Analytics comparison

The compared Databricks and Workday solutions aren't in the same category. Workday is ranked #14 in BIT , with an average rating of 8.6, and holds a 1.6% mindshare. Additionally, 96% of Databricks users are willing to recommend the solution, compared to 100% of Workday users who would recommend it.

Databricks

Read 85 Databricks reviews

96% willing to recommend

Workday Prism Analytics

Read 5 Workday Prism Analytics reviews

1,232 Views
1,169 Comparison Views

100% willing to recommend

Databricks

Workday Prism Analytics

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between Databricks and Workday Prism Analytics based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Microsoft, Google and others in Cloud Data Warehouse.

To learn more, read our detailed Cloud Data Warehouse Report (Updated: December 2024).

Buyer's Guide

Cloud Data Warehouse

December 2024

Download the complete report

Helped 831,158 peers since 2012

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

Databricks

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Science Platforms (1st), Streaming Analytics (1st)

Workday Prism Analytics

Average Rating

8.6

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (14th)

Featured Reviews

Parag Bhosale

Senior Data Engineer at a logistics company with 51-200 employees

Integrating engineering and learning, but cost challenges arise with cluster management

We often use a single cluster to ingest Databricks, which Databricks doesn't recommend. They suggest using a no-cluster solution like job clusters. This can be overwhelming for us because we started smaller. We prefer using a small to mid-sized cluster for many jobs to keep costs low, but this sometimes doesn't support our operations properly. We need to stay in sync with the DVR versions, and migrations can pose challenges. For example, issues arose when we moved a cluster from a previous version to the latest one. We could use their job clusters, however, that increases costs, which is challenging for us as a startup. Maintaining this infrastructure can be a headache.

Read full review

Sarvesh Kumar Jha

Senior Technology Consultant at PricewaterhouseCoopers

Provides great flexibility in terms of data transformation

I really like the flexibility the solution provides in terms of data transformation. Workday introduced Prism Analytics mainly because many clients wanted to merge data from different systems and then work with it to get some insights out of it. For that, they previously used tools like Power BI. Workday Prism Analytics gives you the power to do all the data transformations within Workday itself without taking out crucial data to a third system. I really like the way Workday has enabled Prism Analytics to be that one solution where you can bring everything. It also provides you the flexibility that things like the security model of Workday are still in place. You don't have to redo your security configuration if you do the data transformation outside Workday.

Read full review

Quotes from Members

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

Pros

"The integration with Python and the notebooks really helps."

"Having one solution for everything, from data engineering to machine learning, is beneficial since everything comes under one hood."

"The initial setup is pretty easy."

"One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."

"Databricks has a scalable Spark cluster creation process. The creators of Databricks are also the creators of Spark, and they are the industry leaders in terms of performance."

"Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data."

"In the manufacturing industry, Databricks can be beneficial to use because of machine learning. It is useful for tasks, such as product analysis or predictive maintenance."

"The capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes."

More Databricks pros

"The product is easier to use compared to other applications."

"I really like the flexibility the solution provides in terms of data transformation."

"Feature-wise, I feel that the solution's stability is good."

"The solution is stable and reliable, with minimal issues affecting its performance."

"The customer service and support are pretty good."

Cons

"The integration features could be more interesting, more involved."

"I believe that this product could be improved by becoming more user-friendly."

"I would like it if Databricks made it easier to set up a project."

"Databricks has a lack of debuggers, and it would be good to see more components."

"I think setting up the whole account for one person and giving access are areas that can be difficult to manage and should be made a little easier."

"Scalability is an area with certain shortcomings. The solution's scalability needs improvement."

"There would also be benefits if more options were available for workers, or the clusters of the two points."

"The solution could be improved by integrating it with data packets. Right now, the load tables provide a function, like team collaboration. Still, it's unclear as to if there's a function to create different branches and/or more branches. Our team had used data packets before, however, I feel it's difficult to integrate the current with the previous data packets."

More Databricks cons

"There is not much flexibility in how we can add external data within Workday Prisma Analytics."

"It is not a very scalable product."

"The visualization techniques must be upgraded."

"One area for improvement in the solution is the ability to manually update individual rows or columns of data once it has been uploaded."

"When you create certain objects, a lot of the time, the fields are text. They’re not numeric, date, or any other field type"

Pricing and Cost Advice

"I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."

"There are different versions."

"We only pay for the Azure compute behind the solution."

"The solution is affordable."

"The price of Databricks is reasonable compared to other solutions."

"Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."

"I rate the price of Databricks as eight out of ten."

"We pay as we go, so there isn't a fixed price. It's charged by the unit. I don't have any details detail about how they measure this, but it should be a mix between processing and quantity of data handled. We run a simulation based on our use cases, which gives us an estimate. We've been monitoring this, and the costs have met our expectations."

More Databricks pricing and cost advice

"The solution is very expensive."

"Based on whatever I have heard, Workday Prism Analytics is considered an expensive tool."

"I do not know of the licensing cost, but there are additional costs like 5,00,000 for recruitment modules."

See which vendors are best for you

Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.

See recommendations

831,158 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

11%

Manufacturing Company

Healthcare Company

Financial Services Firm

10%

Computer Software Company

10%

Insurance Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

Which do you prefer - Databricks or Azure Machine Learning Studio?

Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...

See all answers

How would you compare Databricks vs Amazon SageMaker?

We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...

See all answers

Which would you choose - Databricks or Azure Stream Analytics?

Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...

See all answers

What do you like most about Workday Prism Analytics?

Feature-wise, I feel that the solution's stability is good.

See all answers

What is your experience regarding pricing and costs for Workday Prism Analytics?

Based on whatever I have heard, Workday Prism Analytics is considered an expensive tool. In fact, that has been one of the hindrance factors for Workday in making Prism Analytics more sellable.

See all answers

What needs improvement with Workday Prism Analytics?

I think there are still some gaps in the solution. There is not much flexibility in how we can add external data within Workday Prisma Analytics. For now, Workday has enabled the SFTP server and Am...

See all answers

Comparisons

Dataiku vs Databricks

Compared 11% of the time

Informatica PowerCenter vs Databricks

Compared 8% of the time

Dremio vs Databricks

Compared 8% of the time

Amazon SageMaker vs Databricks

Compared 8% of the time

Microsoft Power BI vs Databricks

Compared 7% of the time

More Databricks Competitors

Microsoft Power BI vs Workday Prism Analytics

Compared 48% of the time

Tableau vs Workday Prism Analytics

Compared 23% of the time

Alteryx vs Workday Prism Analytics

Compared 3% of the time

Amazon QuickSight vs Workday Prism Analytics

Compared 3% of the time

Oracle Analytics Cloud vs Workday Prism Analytics

Compared 3% of the time

More Workday Prism Analytics Competitors

Product Reports

Buyer's Guide

Databricks

January 2025

Download Databricks product report

Buyer's Guide

BI (Business Intelligence) Tools

January 2025

Download Workday Prism Analytics product report

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash

Prism Analytics

Learn More

Databricks

Workday

Overview

Databricks is utilized for advanced analytics, big data processing, machine learning models, ETL operations, data engineering, streaming analytics, and integrating multiple data sources.

Organizations leverage Databricks for predictive analysis, data pipelines, data science, and unifying data architectures. It is also used for consulting projects, financial reporting, and creating APIs. Industries like insurance, retail, manufacturing, and pharmaceuticals use Databricks for data management and analytics due to its user-friendly interface, built-in machine learning libraries, support for multiple programming languages, scalability, and fast processing.

What are the key features of Databricks?

User-friendly interface: Simplifies operations and usability.
Built-in machine learning libraries: Facilitates machine learning tasks.
Support for multiple programming languages: Enhances flexibility.
Scalability: Efficiently handles growing data needs.
Fast processing: Improves performance and speed.
Automated optimization: Reduces manual efforts.
Data visualization: Provides insightful visuals.
Collaborative features: Enhances teamwork.
Delta Lake performance: Boosts data management.
Seamless cluster management: Simplifies system operations.

What are the benefits or ROI to look for in Databricks reviews?

Efficiency in handling large datasets: Ensures smooth processing.
Interactive workspace environment: Improves user collaboration.
Integration with platforms: Provides connectivity benefits.
Performance optimization: Enhances overall system performance.
Support for data governance and security: Ensures data integrity and protection.

Databricks is implemented in insurance for risk analysis and claims processing; in retail for customer analytics and inventory management; in manufacturing for predictive maintenance and supply chain optimization; and in pharmaceuticals for drug discovery and patient data analysis. Users value its scalability, machine learning support, collaboration tools, and Delta Lake performance but seek improvements in visualization, pricing, and integration with BI tools.

With Workday Prism Analytics, you can bring data in at scale from any source and prepare, analyze, and securely share it with your organization. The result? You gain all the insights you need to drive better business outcomes.

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware

Denny's

Find out what your peers are saying about Snowflake Computing, Microsoft, Google and others in Cloud Data Warehouse. Updated: December 2024.

DOWNLOAD NOW

831,158 professionals have used our research since 2012.

We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.