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Databricks vs OpenText Intelligence 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
93
Ranking in other categories
Cloud Data Warehouse (4th), Data Science Platforms (1st), Data Management Platforms (DMP) (5th), Streaming Analytics (1st)
OpenText Intelligence
Average Rating
8.0
Reviews Sentiment
7.7
Number of Reviews
1
Ranking in other categories
BI (Business Intelligence) Tools (36th), Reporting (28th), Data Visualization (26th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 10.2%, up 8.5% compared to last year.
OpenText Intelligence, on the other hand, focuses on Reporting, holds 1.4% mindshare, up 0.4% since last year.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
Databricks10.2%
Snowflake15.2%
Teradata8.5%
Other66.1%
Cloud Data Warehouse
Reporting Mindshare Distribution
ProductMindshare (%)
OpenText Intelligence1.4%
Microsoft Power BI15.3%
Tableau Enterprise15.1%
Other68.2%
Reporting
 

Featured Reviews

SimonRobinson - PeerSpot reviewer
Governance And Engagement Lead
Improved data governance has enabled sensitive data tracking but cost management still needs work
I believe we could improve Databricks integration with cloud service providers. The impact of our current integration has not been particularly good, and it's becoming very expensive for us. The inefficiencies in our implementation, such as not shutting down warehouses when they're not in use or reserving the right number of credits, have led to increased costs. We made several beginner mistakes, such as not taking advantage of incremental loading and running overly complicated queries all the time. We should be using ETL tools to help us instead of doing it directly in Databricks. We need more experienced professionals to manage Databricks effectively, as it's not as forgiving as other platforms such as Snowflake. I think introducing customer repositories would facilitate easier implementation with Databricks.
it_user220707 - PeerSpot reviewer
Director & Lead Consultant at a consultancy with 51-200 employees
The Briefing Book feature enables measures to be filtered and viewed based on different criteria by end users.
This software is targeted at executive users, not the data analysts who want to slice and dice. The software will not replace your BI tools, but it will sit nicely on top of a BI tool if you want management to have quick and easy access to performance data. Initiative Management Metrics Management – Key Interfaces

Quotes from Members

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

Pros

"Databricks' most valuable feature is the data transformation through PySpark."
"Specifically for data science and data analytics purposes, it can handle large amounts of data in less time. I can compare it with Teradata. If a job takes five hours with Teradata databases, Databricks can complete it in around three to three and a half hours."
"Databricks makes it really easy to use a number of technologies to do data analysis. In terms of languages, we can use Scala, Python, and SQL. Databricks enables you to run very large queries, at a massive scale, within really good timeframes."
"Databricks also offers exceptional performance and scalability."
"Databricks is a truly essential platform for data engineering needs, and I recommend it to anyone looking to advance in the data engineering field."
"I don't think you can find any other tool or any other service that is faster than Databricks."
"If you have a lot of data, Databricks is a good choice."
"The most valuable aspect of the solution is its notebook; it's quite convenient to use in terms of research, development, and final deployment, as I can just declare the spark jobs by the load tables."
"It is a comprehensive solution for performance management, and yet it is easy to setup and easy to use, especially in comparison with Oracle, SAS, Hyperion and SAP."
 

Cons

"Anyone who doesn't know SQL may find the product difficult to work with."
"Databricks' technical support takes a while to respond and could be improved."
"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."
"The product could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment."
"Scalability is an area with certain shortcomings. The solution's scalability needs improvement."
"I have had some issues with some of the Spark clusters running on Databricks, where the Spark runtime and clusters go up and down, which is an area for improvement."
"I would like it if Databricks adopted an interface more like R Studio."
"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."
"It needs to have better quality built in reports."
 

Pricing and Cost Advice

"I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."
"I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself."
"The price of Databricks is reasonable compared to other solutions."
"My smallest project is around a hundred euros, and my most expensive is just under a thousand euros a week. That is based on terabytes of data processed each month."
"Databricks uses a price-per-use model, where you can use as much compute as you need."
"Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."
"The solution requires a subscription."
"The cost is around $600,000 for 50 users."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
9%
Computer Software Company
7%
Healthcare Company
6%
Comms Service Provider
14%
Construction Company
11%
Outsourcing Company
10%
Insurance Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business27
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...
Ask a question
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Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
OpenText Magellan Analytics Suite, BIRT iHub Visualization Platform, OpenText Actuate Information Hub
 

Overview

 

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
Sasktel, NSBSL
Find out what your peers are saying about Snowflake Computing, Teradata, Google and others in Cloud Data Warehouse. Updated: March 2026.
889,855 professionals have used our research since 2012.