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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 (8th), 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 (18th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 8.9%, up 4.1% compared to last year.
Workday Prism Analytics, on the other hand, focuses on BI (Business Intelligence) Tools, holds 1.9% 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."
"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."
"Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution."
"Databricks' most valuable feature is the data transformation through PySpark."
"The most valuable feature is the ability to use SQL directly with Databricks."
"The ease of use and its accessibility are valuable."
"Databricks is a scalable solution. It is the largest advantage of the solution."
"A very valuable feature is the data processing, and the solution is specifically good at using the Spark ecosystem."
"The customer service and support are pretty good."
"The solution is stable and reliable, with minimal issues affecting its performance."
"Feature-wise, I feel that the solution's stability is good."
"The product is easier to use compared to other applications."
"I really like the flexibility the solution provides in terms of data transformation."
 

Cons

"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."
"In the next release, I would like to see more optimization features."
"The query plan is not easy with Databrick's job level. If I want to tune any of the code, it is not easily available in the blogs as well."
"There are no direct connectors — they are very limited."
"Performance could be improved."
"The initial setup is difficult."
"As a data engineer, I see cluster failure in our Databricks user databases as a major issue."
"I'm not the guy that I'm working with Databricks on a daily basis. I'm on the management team. However, my team tells me there are limitations with streaming events. The connectors work with a small set of platforms. For example, we can work with Kafka, but if we want to move to an event-driven solution from AWS, we cannot do it. We cannot connect to all the streaming analytics platforms, so we are limited in choosing the best one."
"The visualization techniques must be upgraded."
"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."
"There is not much flexibility in how we can add external data within Workday Prisma Analytics."
"It is not a very scalable product."
 

Pricing and Cost Advice

"I rate the price of Databricks as eight out of ten."
"Databricks is a very expensive solution. Pricing is an area that could definitely be improved. They could provide a lower end compute and probably reduce the price."
"The solution requires a subscription."
"The price of Databricks is reasonable compared to other solutions."
"The billing of Databricks can be difficult and should improve."
"It is an expensive tool. The licensing model is a pay-as-you-go one."
"The pricing depends on the usage itself."
"The licensing costs of Databricks is a tiered licensing regime, so it is flexible."
"I do not know of the licensing cost, but there are additional costs like 5,00,000 for recruitment modules."
"Based on whatever I have heard, Workday Prism Analytics is considered an expensive tool."
"The solution is very expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
10%
Manufacturing Company
9%
Healthcare Company
6%
Financial Services Firm
10%
Computer Software Company
9%
Government
8%
Healthcare Company
8%
 

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 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
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