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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 5.9% compared to last year.
Workday Prism Analytics, on the other hand, focuses on BI (Business Intelligence) Tools, holds 1.6% mindshare, up 1.4% since last year.
Cloud Data Warehouse Market Share Distribution
ProductMarket Share (%)
Databricks8.3%
Snowflake17.7%
Dremio8.9%
Other65.1%
Cloud Data Warehouse
BI (Business Intelligence) Tools Market Share Distribution
ProductMarket Share (%)
Workday Prism Analytics1.6%
Microsoft Power BI14.1%
Tableau Enterprise10.3%
Other74.0%
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 helps integrate data science and machine learning capabilities."
"Databricks' most valuable feature is the data transformation through PySpark."
"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search"
"The technical support is good."
"The processing capacity is tremendous in the database."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"I like how easy it is to share your notebook with others. You can give people permission to read or edit. I think that's a great feature. You can also pull in code from GitHub pretty easily. I didn't use it that often, but I think that's a cool feature."
"The solution offers a free community version."
"The customer service and support are pretty good."
"I really like the flexibility the solution provides in terms of data transformation."
"The product is easier to use compared to other applications."
"Feature-wise, I feel that the solution's stability is good."
"The solution is stable and reliable, with minimal issues affecting its performance."
 

Cons

"Instead of relying on a massive instance, the solution should offer micro partition levels. They're working on it, however, they need to implement it to help the solution run more effectively."
"Some of the error messages that we receive are too vague, saying things like "unknown exception", and these should be improved to make it easier for developers to debug problems."
"The product could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment."
"Databricks would have more collaborative features than it has. It should have some more customization for the jobs."
"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
"There is room for improvement in the documentation of processes and how it works."
"The integration of data could be a bit better."
"It should have more compatible and more advanced visualization and machine learning libraries."
"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"
"It is not a very scalable product."
"There is not much flexibility in how we can add external data within Workday Prisma Analytics."
"The visualization techniques must be upgraded."
 

Pricing and Cost Advice

"We have only incurred the cost of our AWS cloud services. This is because during this period, Databricks provided us with an extended evaluation period, and we have not spent much money yet. We are just starting to incur costs this month, I will know more later on the full cost perspective."
"The price is okay. It's competitive."
"It is an expensive tool. The licensing model is a pay-as-you-go one."
"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 licensing costs of Databricks is a tiered licensing regime, so it is flexible."
"I rate the price of Databricks as eight out of ten."
"There are different versions."
"The billing of Databricks can be difficult and should improve."
"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."
"The solution is very expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
9%
Manufacturing Company
9%
Healthcare Company
6%
Financial Services Firm
12%
Government
8%
Insurance Company
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
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