Databricks in San Francisco offers the Databricks Lakehouse Platform (formerly the Unified Analytics Platform), a data science platform and Apache Spark cluster manager. The Databricks Unified Data Service aims to provide a reliable and scalable platform for data pipelines, data lakes, and data platforms. Users can manage full data journey, to ingest, process, store, and expose data throughout an organization. Its Data Science Workspace is a collaborative environment for practitioners to run…
$0.07
Per DBU
Rational BI
Score 7.7 out of 10
Enterprise companies (1,001+ employees)
Rational BI provides analytics, data science and business intelligence in an analytical platform that connects to databases, data files and cloud drives including AWS and Azure data sources, enabling users to explore and visualize data. Users can build real-time notebook-style reports directly in a web browser with JavaScript and SQL with direct and live connections to data. Filter and query data with an SQL database embedded in the client, without network…
$0
single user
Pricing
Databricks Data Intelligence Platform
Rational BI
Editions & Modules
Standard
$0.07
Per DBU
Premium
$0.10
Per DBU
Enterprise
$0.13
Per DBU
Free
$0
single user
Professional
$129
single user
Enterprise
Varies
single user
Offerings
Pricing Offerings
Databricks Data Intelligence Platform
Rational BI
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
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Additional cost per extra user (varies by edition)
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Community Pulse
Databricks Data Intelligence Platform
Rational BI
Features
Databricks Data Intelligence Platform
Rational BI
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Databricks Data Intelligence Platform
-
Ratings
Rational BI
8.3
Ratings
1% below category average
Pixel Perfect reports
00 Ratings
7.60 Ratings
Customizable dashboards
00 Ratings
8.70 Ratings
Report Formatting Templates
00 Ratings
8.50 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Databricks Data Intelligence Platform
-
Ratings
Rational BI
8.3
Ratings
4% above category average
Drill-down analysis
00 Ratings
7.70 Ratings
Formatting capabilities
00 Ratings
8.20 Ratings
Integration with R or other statistical packages
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8.00 Ratings
Report sharing and collaboration
00 Ratings
9.20 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Databricks Data Intelligence Platform
-
Ratings
Rational BI
9.0
Ratings
6% above category average
Publish to Web
00 Ratings
9.00 Ratings
Publish to PDF
00 Ratings
9.00 Ratings
Report Versioning
00 Ratings
8.60 Ratings
Report Delivery Scheduling
00 Ratings
9.20 Ratings
Delivery to Remote Servers
00 Ratings
9.30 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
If you need a managed big data megastore, which has native integration with highly optimized Apache Spark Engine and native integration with MLflow, go for Databricks Lakehouse Platform. The Databricks Lakehouse Platform is a breeze to use and analytics capabilities are supported out of the box. You will find it a bit difficult to manage code in notebooks but you will get used to it soon.
Rational BI allows managing data analysis coming from different projects in order to create useful reports and dashboards. I usually set up automatically scheduled reports. All the stakeholders can easily share a rational view with the possibility to filter between the interesting arguments. Sometimes different user profiles could be needed, optimize the view.
There is databricks community, which is a free version. It is available for beginners to have an easy start with a big data platform. It does not have every feature of the full version but is still adequate for extremely new coders.
There are many resourceful training elements that are available to developers, data scientists, data engineers and other IT professionals to learn Apache Spark.
Connect my local code in Visual code to my Databricks Lakehouse Platform cluster so I can run the code on the cluster. The old databricks-connect approach has many bugs and is hard to set up. The new Databricks Lakehouse Platform extension on Visual Code, doesn't allow the developers to debug their code line by line (only we can run the code).
Maybe have a specific Databricks Lakehouse Platform IDE that can be used by Databricks Lakehouse Platform users to develop locally.
Visualization in MLFLOW experiment can be enhanced
Documentation for new users could be better. Sometimes it's hard for my users that are not that skilled in IS/IT to set up data connectors are understand the dynamics of data sources.
I have used several other BI solutions as well, and their GUI is okay, but surely there is also room for improvement here. Not all things are made entirely logically.
Understanding their price structure. Generally, their website looks nice, but it's not very informative when it comes to pricing, and support options. I really miss some kind of transparency and overview.
Because it is an amazing platform for designing experiments and delivering a deep dive analysis that requires execution of highly complex queries, as well as it allows to share the information and insights across the company with their shared workspaces, while keeping it secured.
in terms of graph generation and interaction it could improve their UI and UX
Rational BI allows managing data analysis coming from different projects. The outputs are one or more reports, that can be delivered automatically to the stakeholders or other communication media inside the organization. Nice dashboards help to describe and analyze data. Sometimes different user profiles could be needed, optimize the view.
One of the best customer and technology support that I have ever experienced in my career. You pay for what you get and you get the Rolls Royce. It reminds me of the customer support of SAS in the 2000s when the tools were reaching some limits and their engineer wanted to know more about what we were doing, long before "data science" was even a name. Databricks truly embraces the partnership with their customer and help them on any given challenge.
Databricks is a true all-in-one platform, and at the time of implementation, it had more features available to us, making it a clear choice over Snowflake. Moving our workloads from local computing to the servers in Databricks gave our start-up staff a great quality of life boost.
Today there are many companies providing BI solutions, and generally, I think Microsoft Power BI is the easiest go-to solution as it is part of the Office365 software. However all software solutions have their limitations, advantages, and disadvantages, but sometimes you don't need the perfect solution. You just need a solution that delivers 80-90 percent of the full potential to reach your goal and in this scope, we were really happy with Rational BI.