Try our new research platform with insights from 80,000+ expert users

Databricks vs Workday Prism Analytics comparison

 

Comparison Buyer's Guide

Executive Summary

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
88
Ranking in other categories
Cloud Data Warehouse (7th), Data Science Platforms (1st), Streaming Analytics (1st)
Workday Prism Analytics
Average Rating
8.6
Reviews Sentiment
7.6
Number of Reviews
5
Ranking in other categories
BI (Business Intelligence) Tools (13th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 8.4%, up 3.2% compared to last year.
Workday Prism Analytics, on the other hand, focuses on BI (Business Intelligence) Tools, holds 1.8% mindshare, up 1.1% since last year.
Cloud Data Warehouse
BI (Business Intelligence) Tools
 

Featured Reviews

ShubhamSharma7 - PeerSpot reviewer
Capability to integrate diverse coding languages in a single notebook greatly enhances workflow
Databricks offers various courses that I can use, whether it's PySpark, Scala, or R. I can leverage all these courses in a single notebook, which is beneficial for clients as they can access various tools in one place whenever needed. This is quite significant. I usually work with PySpark based on client requirements. After coding, I feed the Databricks notebooks into the ADF pipeline for updates. Databricks' capability to process data in parallel enhances data processing speed. Furthermore, I can connect our Databricks notebook directly with Power BI and other visualization tools like Qlik. Once we develop code, it allows us to transform raw data into visualizations for clients using analysis diagrams, which is very helpful.
Sarvesh Kumar Jha - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"It is fast, it's scalable, and it does the job it needs to do."
"Databricks gives us the ability to build a lakehouse framework and do everything implicit to this type of database structure. We also like the ability to stream events. Databricks covers a broad spectrum, from reporting and machine learning to streaming events. It's important for us to have all these features in one platform."
"The fast data loading process and data storage capabilities are great."
"It's great technology."
"Databricks' most valuable feature is the data transformation through PySpark."
"It can send out large data amounts."
"The time travel feature is the solution's most valuable aspect."
"Easy to use and requires minimal coding and customizations."
"The solution is stable and reliable, with minimal issues affecting its performance."
"The customer service and support are pretty good."
"Feature-wise, I feel that the solution's stability is good."
"I really like the flexibility the solution provides in terms of data transformation."
"The product is easier to use compared to other applications."
 

Cons

"In the next release, I would like to see more optimization features."
"One area of improvement is the Databricks File System (DBFS), where command-line challenges arise when accessing files. Standardization of file paths on the system could help, as engineers sometimes struggle."
"I would like more integration with SQL for using data in different workspaces."
"If I want to create a Databricks account, I need to have a prior cloud account such as an AWS account or an Azure account. Only then can I create a Databricks account on the cloud. However, if they can make it so that I can still try Databricks even if I don't have a cloud account on AWS and Azure, it would be great. That is, it would be nice if it were possible to create a pseudo account and be provided with a free trial. It is very essential to creating a workforce on Databricks. For example, students or corporate staff can then explore and learn Databricks."
"Databricks would benefit from enhanced metrics and tighter integration with Azure's diagnostics."
"The product should provide more advanced features in future releases."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"The biggest problem associated with the product is that it is quite pricey."
"The visualization techniques must be upgraded."
"There is not much flexibility in how we can add external data within Workday Prisma Analytics."
"One area for improvement in the solution is the ability to manually update individual rows or columns of data once it has been uploaded."
"It is not a very scalable product."
"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

"Price-wise, I would rate Databricks a three out of five."
"The solution is affordable."
"The licensing costs of Databricks depend on how many licenses we need, depending on which Databricks provides a lot of discounts."
"We only pay for the Azure compute behind the solution."
"I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself."
"We implement this solution on behalf of our customers who have their own Azure subscription and they pay for Databricks themselves. The pricing is more expensive if you have large volumes of data."
"Databricks' cost could be improved."
"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."
"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."
report
Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.
848,716 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
10%
Manufacturing Company
9%
Healthcare Company
6%
Financial Services Firm
9%
Computer Software Company
9%
Insurance Company
8%
Government
7%
 

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 ...
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...
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...
What do you like most about Workday Prism Analytics?
Feature-wise, I feel that the solution's stability is good.
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.
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...
 

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
Prism Analytics
 

Overview

 

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: April 2025.
848,716 professionals have used our research since 2012.