What users are saying about
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43 Ratings
30 Ratings

Databricks Lakehouse Platform

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43 Ratings
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Score 8.6 out of 100
30 Ratings
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Score 9.4 out of 100

Likelihood to Recommend

Databricks Lakehouse Platform

[Databricks Lakehouse Platform (Unified Analytics Platform)] makes the power of Spark accessible. Databricks's proactive and customer-centric service. It is a highly adaptable solution for data engineering, data science, and AI. Load times are not consistent and no ability to restrict data access to specific users or groups.
Gilrod Maerina | TrustRadius Reviewer

Mathematica

We are the judgement that Wolfram Mathematica is despite many critics based on the paradigms selected a mark in the fields of the markets for computations of all kind. Wolfram Mathematica is even a choice in fields where other bolide systems reign most of the market. Wolfram Mathematica offers rich flexibility and internally standardizes the right methodologies for his user community. Wolfram Mathematica is not cheap and in need of a hard an long learner journey. That makes it weak in comparison with of-the-shelf-solution packages or even other programming languages. But for systematization of methods Wolfram Mathematica is far in front of almost all the other. Scientist and interested people are able to develop themself further and Wolfram Matheamatica users are a human variant for themself. The reach out for modern mathematics based science is deep and a unique unified framework makes the whole field of mathematics accessable comparable to the brain of Albert Einstein. The paradigms incorporated are the most efficients and consist in assembly on the market. The mathematics is covering and fullfills not just education requirements but the demands and needs of experts.
Mathematica is incompatible with other systems for mCAx and therefore the borders between the systems are hard to overcome. Wolfram Mathematica should be consider one of the more open systems because other code can be imported and run but on the export side it is rathe incompatible by design purposes. A better standard for all that might solve the crisis but there is none in sight. Selection of knowledge of what works will be in the future even more focussed and general system might be one the lossy side. Knowledge of esthetics of what will be in the highest demand in necessary and Wolfram is not a leader in this field of science. Mathematics leves from gathering problems from application fields and less from the glory of itself and the formalization of this.
Steffen Jäschke | TrustRadius Reviewer

Feature Rating Comparison

BI Standard Reporting

Databricks Lakehouse Platform
Mathematica
9.1
Pixel Perfect reports
Databricks Lakehouse Platform
Mathematica
8.6
Customizable dashboards
Databricks Lakehouse Platform
Mathematica
9.4
Report Formatting Templates
Databricks Lakehouse Platform
Mathematica
9.4

Ad-hoc Reporting

Databricks Lakehouse Platform
Mathematica
9.2
Drill-down analysis
Databricks Lakehouse Platform
Mathematica
9.2
Formatting capabilities
Databricks Lakehouse Platform
Mathematica
9.2
Integration with R or other statistical packages
Databricks Lakehouse Platform
Mathematica
9.5
Report sharing and collaboration
Databricks Lakehouse Platform
Mathematica
8.8

Report Output and Scheduling

Databricks Lakehouse Platform
Mathematica
8.7
Publish to Web
Databricks Lakehouse Platform
Mathematica
9.2
Publish to PDF
Databricks Lakehouse Platform
Mathematica
8.7
Report Versioning
Databricks Lakehouse Platform
Mathematica
9.1
Report Delivery Scheduling
Databricks Lakehouse Platform
Mathematica
8.4
Delivery to Remote Servers
Databricks Lakehouse Platform
Mathematica
8.1

Data Discovery and Visualization

Databricks Lakehouse Platform
Mathematica
9.1
Pre-built visualization formats (heatmaps, scatter plots etc.)
Databricks Lakehouse Platform
Mathematica
9.2
Location Analytics / Geographic Visualization
Databricks Lakehouse Platform
Mathematica
8.9
Predictive Analytics
Databricks Lakehouse Platform
Mathematica
9.2

Pros

Databricks Lakehouse Platform

  • Process raw data in One Lake (S3) env to relational tables and views
  • Share notebooks with our business analysts so that they can use the queries and generate value out of the data
  • Try out PySpark and Spark SQL queries on raw data before using them in our Spark jobs
  • Modern day ETL operations made easy using Databricks. Provide access mechanism for different set of customers
Anonymous | TrustRadius Reviewer

Mathematica

  • It allows straightforward integration of analytic analysis of algebraic expressions and their numerical implemented.
  • Supports varying programmatic paradigms, so one can choose what best fits the problem or task: pure functions, procedural programming, list processing, and even (with a bit of setup) object-oriented programming.
  • The extensive and rich tools for graphical rendering make it very easy to not just get 2D and 3D renderings of final output, but also to do quick-and-dirty 2D and 3D rendering of intermediate results and/or debugging results.
Robert J. Lang | TrustRadius Reviewer

Cons

Databricks Lakehouse Platform

  • Better Localized Testing
  • When they were primarily OSS Spark; it was easier to test/manage releases versus the newer DB Runtime. Wish there was more configuration in Runtime less pick a version.
  • Graphing Support went non-existent; when it was one of their compelling general engine.
Anonymous | TrustRadius Reviewer

Mathematica

  • Should include more libraries and functions.
  • Should include more functions that can be used in Machine Learning.
  • Should include more functions that can be used in Data Science.
Anonymous | TrustRadius Reviewer

Usability

Databricks Lakehouse Platform

Databricks Lakehouse Platform 8.0
Based on 2 answers
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
Anonymous | TrustRadius Reviewer

Mathematica

No score
No answers yet
No answers on this topic

Support Rating

Databricks Lakehouse Platform

Databricks Lakehouse Platform 5.0
Based on 1 answer
I have not had the need of support from Databricks [Lakehouse Platform] team itself to the date
Anonymous | TrustRadius Reviewer

Mathematica

Mathematica 9.5
Based on 2 answers
Wolfram Mathematica is a nice software package. It has very nice features and easy to install and use in your machine. Besides this, there is a nice support from Wolfram. They come to the university frequently to give seminars in Mathematica. I think this is the best thing they are doing. That is very helpful for graduate and undergraduate students who are using Mathematica in their research.
Anonymous | TrustRadius Reviewer

Alternatives Considered

Databricks Lakehouse Platform

Databricks has a much better edge than Synapse in hundred different ways. Databricks has Photon engine, faster available release in cloud and databricks does not run on Open source spark version so better optimization, better performance and better agility and all kind of performance boost can be achieved in Databricks rather Open source synapse spark
Anonymous | TrustRadius Reviewer

Mathematica

We have evaluated and are using in some cases the Python language in concert with the Jupyter notebook interface. For UI, we using libraries like React to create visually stunning visualizations of such models.Mathematica compares favorably to this alternative in terms of speed of development. Mathematica compares unfavorably to this alternative in terms of license costs.
George Danner | TrustRadius Reviewer

Return on Investment

Databricks Lakehouse Platform

  • Machine learning is a very new concept and not many universities offer to teach it. My school and a few others have been utilizing Databricks as one of the tools to teach and learn machine learning. By doing this, my university is creating a strong future workforce for the job market.
Ann Le | TrustRadius Reviewer

Mathematica

  • Easy to solve huge mathematical equations, so it saved time there
  • Doing analysis and plotting graphs is also another plus point
  • Learning is very slow, and it took lot of time to learn its scripting language
Shalinee Singh | TrustRadius Reviewer

Pricing Details

Databricks Lakehouse Platform

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Databricks Lakehouse Platform Editions & Modules

Edition
Standard$0.071
Premium$0.101
Enterprise$0.131
  1. Per DBU
Additional Pricing Details

Mathematica

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Mathematica Editions & Modules

Edition
Mathematica Enterprise Edition$8,260.001
Enterprise Private CloudContact sales team
Standard Cloud$13.003
Standard Desktop$124.004
Standard Desktop & Cloud$145.004
Network MathematicaContact sales team
Student Cloud$9.006
Student Desktop$83.007
Home Cloud$18.008
Home Desktop$177.009
Home Desktop & Cloud$310.009
  1. one-time fee
  2. none
  3. starting price/per month
  4. per year/starting price
  5. none
  6. per month
  7. per year
  8. per month
  9. per year
Additional Pricing Details

Rating Summary

Likelihood to Recommend

Databricks Lakehouse Platform
8.6
Mathematica
9.5

Usability

Databricks Lakehouse Platform
8.0
Mathematica

Support Rating

Databricks Lakehouse Platform
5.0
Mathematica
9.5

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