Databricks vs Pyramid Analytics comparison

The compared Databricks and Pyramid Analytics solutions aren't in the same category. Databricks is ranked #7 in CDW , with an average rating of 8.3, and holds a 7.8% mindshare in the category. Pyramid Analytics is ranked #16 in BIT , with an average rating of 7.8, and holds a 0.8% mindshare. Additionally, 96% of Databricks users are willing to recommend the solution, compared to 87% of Pyramid Analytics users who would recommend it.

Databricks

Read 88 Databricks reviews

2,340 Views
1,659 Comparison Views

96% willing to recommend

Pyramid Analytics

Read 8 Pyramid Analytics reviews

884 Views
624 Comparison Views

87% willing to recommend

Databricks

Pyramid Analytics

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Databricks and Pyramid 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: March 2025).

Buyer's Guide

Cloud Data Warehouse

March 2025

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Helped 842,161 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

Cloud Data Warehouse (7th), Data Science Platforms (1st), Streaming Analytics (1st)

Pyramid Analytics

Average Rating

7.6

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (16th), Data Visualization (12th)

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 7.8%, up 2.9% compared to last year.
Pyramid Analytics, on the other hand, focuses on BI (Business Intelligence) Tools, holds 0.8% mindshare, up 0.7% since last year.

Cloud Data Warehouse

BI (Business Intelligence) Tools

Featured Reviews

ShubhamSharma7

Data Engineer at a engineering company with 1,001-5,000 employees

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.

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Shyam Pendyala

Manager, BI Platforms at Refinitiv, an LSEG Business at LSEG (London Stock Exchange Group)

A comprehensive and user-friendly business intelligence for enhanced data insight

When developing multidimensional IMDS models in Pyramid Analytics, there is a need for better features to maintain and analyze data. The application currently lacks the ability to easily track the original physical table and field names, making it challenging to relate them to business names. It would be desirable to have the possibility to generate a data dictionary, detailing the original physical tables, renamed fields, and derived fields. Such features would simplify documentation, facilitate understanding of how calculations depend on physical fields and aid in explaining the development process to others. Having this lineage and easy-to-generate data dictionary would greatly enhance the usability of Pyramid Analytics for developers.

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

"It offers AI functionalities that assist with code management and machine learning processes."

"Databricks is a robust solution for big data processing, offering flexibility and powerful features."

"I haven't heard about any major stability issues. At this time I feel like it's stable."

"The setup is quite easy."

"A very valuable feature is the data processing, and the solution is specifically good at using the Spark ecosystem."

"The setup was straightforward."

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

"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."

More Databricks pros

"Pyramid has a wide level of uses, as it's a complete ETL process and has a good level of connecting to a lot of data sources."

"It seems quite performant in analyzing multi-dimensional information sets and presenting them."

"The most valuable feature of Pyramid Analytics, outshining even top-tier platforms like Power BI, is its robust support for DAX queries."

"The features I find most valuable are 'Discover,' 'Formulate,' and 'Model.' I use them regularly to build logic and create reports for my job."

"It offers a wide range of analytics options including statistics and visualizations, as well as prediction capabilities, allowing users to make forecasts based on the latest data."

"It proved to be a very powerful and useful tool due to its breakdown capabilities, easy reporting features, flexibility in building custom calculations, and the ability to integrate them into reports."

"The on-premise version has quite good scalability."

"I think the most valuable Pyramid Analytics feature is the solution's ability to drill down and dice in the loop. I think it is better than InExcel or Power BI."

Cons

"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."

"The tool should improve its integration with other products."

"Implementation of Databricks is still very code heavy."

"It would be better if it were faster. It can be slow, and it can be super fast for big data. But for small data, sometimes there is a sub-second response, which can be considered slow. In the next release, I would like to have automatic creation of APIs because they don't have it at the moment, and I spend a lot of time building them."

"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."

"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."

"It should have more compatible and more advanced visualization and machine learning libraries."

"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."

More Databricks cons

"Even though the solution has a functionality for every step, it's not so well- defined. That needs to be improved."

"Pyramid Analytics could improve by speeding up data refresh, especially for large datasets."

"There is room for improvement in terms of documentation and examples, especially for newcomers like me who are learning both business intelligence and Pyramid."

"There is room for improvement in terms of the user interface, particularly when it comes to modifying connections between filters and visual components in a dashboard."

"It would be desirable to have the possibility to generate a data dictionary, detailing the original physical tables, renamed fields, and derived fields."

"I find that this is quite a heavy, time-consuming tool for developers."

"I think the graphic number of charts and components could be higher, at least comparable to Brain Power BI."

"The general amount of negative comments that I am hearing from my team makes me very wary."

Pricing and Cost Advice

"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."

"I'm not involved in the financing, but I can say that the solution seemed reasonably priced compared to the competitors. Similar products are usually in the same price range. With five being affordable and one being expensive, I would rate Databricks a four out of five."

"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."

"I would rate Databricks' pricing seven out of ten."

"Databricks' cost could be improved."

"There are different versions."

More Databricks pricing and cost advice

"The licensing cost is not excessively expensive, but it does increase with the addition of new features and modules."

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

11%

Manufacturing Company

Healthcare Company

Financial Services Firm

16%

Computer Software Company

14%

Government

12%

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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 Pyramid Analytics?

The most valuable feature of Pyramid Analytics, outshining even top-tier platforms like Power BI, is its robust support for DAX queries.

See all answers

What is your experience regarding pricing and costs for Pyramid Analytics?

I find the price of Pyramid Analytics to be quite reasonable, especially when compared to other tools in the industry. It is a cost-effective choice, particularly for mid-sized or larger companies ...

See all answers

What needs improvement with Pyramid Analytics?

Pyramid Analytics could improve by speeding up data refresh, especially for large datasets. While it is currently an in-memory tool, efforts are underway to enhance direct connections to source sys...

See all answers

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Amazon SageMaker vs Databricks

Compared 6% of the time

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Compared 56% of the time

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Compared 6% of the time

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Product Reports

Buyer's Guide

Databricks

March 2025

Download Databricks product report

Buyer's Guide

Pyramid Analytics

March 2025

Download Pyramid Analytics product report

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash

No data available

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.

Databricks

The BI Office from Pyramid Analytics is a web-based governed data discovery and analytics platform. It integrates the four principal functions of any comprehensive BI strategy into a single, seamless application. Users can now analyze, present, report and predict on their data in a single application. Pyramid Analytics has native apps to cover the entire mobile spectrum, iOS, Android and Windows. With BI Office users can integrate SAP data with data from other sources giving them the right tools and better data to make data-driven decisions.

Pyramid Analytics

Sample Customers

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

US Department of Veterans Affair, Volkswagen, Siemens, Blackboard, Hallmark, Orange, CDW, LA Fitness, Atelier GS, Memorial Healthcare, Acadia Insurance, BancoBic, Advanced Learning, Microsoft, Drake University

Find out what your peers are saying about Snowflake Computing, Microsoft, Google and others in Cloud Data Warehouse. Updated: March 2025.

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