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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
91
Ranking in other categories
Cloud Data Warehouse (9th), 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 (17th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 8.3%, up 5.6% compared to last year.
Workday Prism Analytics, on the other hand, focuses on BI (Business Intelligence) Tools, holds 1.6% mindshare, up 1.3% since last year.
Cloud Data Warehouse Market Share Distribution
ProductMarket Share (%)
Databricks8.3%
Snowflake17.7%
Dremio9.4%
Other64.6%
Cloud Data Warehouse
BI (Business Intelligence) Tools Market Share Distribution
ProductMarket Share (%)
Workday Prism Analytics1.6%
Microsoft Power BI14.5%
Tableau Enterprise11.0%
Other72.9%
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

"The setup was straightforward."
"I think Databricks is very good at facilitating AI and machine learning projects; they implement AI and machine learning models very well, and clients can run their models on Databricks."
"The most valuable feature is the ability to use SQL directly with Databricks."
"Having one solution for everything, from data engineering to machine learning, is beneficial since everything comes under one hood."
"It can send out large data amounts."
"The initial setup is pretty easy."
"The time travel feature is the solution's most valuable aspect."
"The integration with Python and the notebooks really helps."
"The solution is stable and reliable, with minimal issues affecting its performance."
"The customer service and support are pretty good."
"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 product is easier to use compared to other applications."
 

Cons

"A lot of people are required to manage this solution."
"The connectivity with various BI tools could be improved, specifically the performance and real time integration."
"It would be great if Databricks could integrate all the cloud platforms."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
"The pricing of Databricks could be cheaper."
"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."
"Anyone who doesn't know SQL may find the product difficult to work with."
"There is not much flexibility in how we can add external data within Workday Prisma Analytics."
"When you create certain objects, a lot of the time, the fields are text. They’re not numeric, date, or any other field type"
"One area for improvement in the solution is the ability to manually update individual rows or columns of data once it has been uploaded."
"The visualization techniques must be upgraded."
"It is not a very scalable product."
 

Pricing and Cost Advice

"We're charged on what the data throughput is and also what the compute time is."
"The cost for Databricks depends on the use case. I work on it as a consultant, so I'm using the client's Databricks, so it depends on how big the client is."
"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 only pay for the Azure compute behind the solution."
"The licensing costs of Databricks is a tiered licensing regime, so it is flexible."
"The solution is affordable."
"The price of Databricks is reasonable compared to other solutions."
"The solution uses a pay-per-use model with an annual subscription fee or package. Typically this solution is used on a cloud platform, such as Azure or AWS, but more people are choosing Azure because the price is more reasonable."
"Based on whatever I have heard, Workday Prism Analytics is considered an expensive tool."
"The solution is very expensive."
"I do not know of the licensing cost, but there are additional costs like 5,00,000 for recruitment modules."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
10%
Manufacturing Company
9%
Healthcare Company
6%
Financial Services Firm
12%
Insurance Company
8%
Government
8%
Healthcare Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business25
Midsize Enterprise12
Large Enterprise56
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 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...
What is your primary use case for Workday Prism Analytics?
As a consultant, I use Prism Analytics to implement my client systems. I first have design sessions with them, where we discuss their business gaps and then understand how Workday Prism Analytics c...
 

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
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