Databricks Lakehouse Platform vs. Plotly Dash

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Databricks Lakehouse Platform
Score 8.1 out of 10
N/A
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
Plotly Dash
Score 8.0 out of 10
N/A
Plotly headquartered in Montreal creates data visualization and UI tools for ML, data science, engineering, and the sciences with language support for Python, R, Julia, and JS. Plotly's Dash aims to empower teams to build data science and ML apps that put Python, R, and Julia in the hands of business users. The vendor states that full stack apps that would typically require a front-end, backend, and dev ops team can be built and deployed in hours by data scientists with Dash.N/A
Pricing
Databricks Lakehouse PlatformPlotly Dash
Editions & Modules
Standard
$0.07
Per DBU
Premium
$0.10
Per DBU
Enterprise
$0.13
Per DBU
No answers on this topic
Offerings
Pricing Offerings
Databricks Lakehouse PlatformPlotly Dash
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Databricks Lakehouse PlatformPlotly Dash
Top Pros
Top Cons
Features
Databricks Lakehouse PlatformPlotly Dash
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Databricks Lakehouse Platform
-
Ratings
Plotly Dash
8.9
3 Ratings
5% above category average
Connect to Multiple Data Sources00 Ratings8.43 Ratings
Extend Existing Data Sources00 Ratings9.33 Ratings
Automatic Data Format Detection00 Ratings8.43 Ratings
MDM Integration00 Ratings9.52 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Databricks Lakehouse Platform
-
Ratings
Plotly Dash
9.0
4 Ratings
7% above category average
Visualization00 Ratings9.04 Ratings
Interactive Data Analysis00 Ratings9.04 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Databricks Lakehouse Platform
-
Ratings
Plotly Dash
6.2
2 Ratings
28% below category average
Interactive Data Cleaning and Enrichment00 Ratings4.42 Ratings
Data Transformations00 Ratings8.52 Ratings
Data Encryption00 Ratings3.92 Ratings
Built-in Processors00 Ratings8.02 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Databricks Lakehouse Platform
-
Ratings
Plotly Dash
8.4
2 Ratings
1% below category average
Multiple Model Development Languages and Tools00 Ratings9.02 Ratings
Automated Machine Learning00 Ratings7.01 Ratings
Single platform for multiple model development00 Ratings9.02 Ratings
Self-Service Model Delivery00 Ratings8.52 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Databricks Lakehouse Platform
-
Ratings
Plotly Dash
9.7
2 Ratings
12% above category average
Flexible Model Publishing Options00 Ratings9.52 Ratings
Security, Governance, and Cost Controls00 Ratings10.02 Ratings
Best Alternatives
Databricks Lakehouse PlatformPlotly Dash
Small Businesses

No answers on this topic

IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
Medium-sized Companies
Snowflake
Snowflake
Score 9.0 out of 10
Mathematica
Mathematica
Score 8.3 out of 10
Enterprises
Snowflake
Snowflake
Score 9.0 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Databricks Lakehouse PlatformPlotly Dash
Likelihood to Recommend
8.4
(17 ratings)
8.0
(4 ratings)
Usability
9.4
(3 ratings)
-
(0 ratings)
Support Rating
8.6
(2 ratings)
-
(0 ratings)
Contract Terms and Pricing Model
8.0
(1 ratings)
-
(0 ratings)
Professional Services
10.0
(1 ratings)
-
(0 ratings)
User Testimonials
Databricks Lakehouse PlatformPlotly Dash
Likelihood to Recommend
Databricks
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.
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Plotly
Applicable for data visualization across disciplines. I have used it for data from buildings, building occupancy, public health, and statistics. It is a useful tool to use for big data. It has nice templates and a number of interesting visualization types. If you are familiar with R and python it is easy to use.
Read full review
Pros
Databricks
  • 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
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Plotly
  • Powerful visualization options.
  • Ability to create in-browser interactive visualization apps.
  • Ability to create hosted apps.
  • Allows you to develop web-based reporting applications without requiring web application development expertise.
Read full review
Cons
Databricks
  • 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
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Plotly
  • Would be good if Dashboard Engine was included in the Enterprise VPC plan
  • Would love to see ready made fintech apps
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Usability
Databricks
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
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Plotly
No answers on this topic
Support Rating
Databricks
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.
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Plotly
No answers on this topic
Alternatives Considered
Databricks
Compared to Synapse & Snowflake, Databricks provides a much better development experience, and deeper configuration capabilities. It works out-of-the-box but still allows you intricate customisation of the environment. I find Databricks very flexible and resilient at the same time while Synapse and Snowflake feel more limited in terms of configuration and connectivity to external tools.
Read full review
Plotly
Read full review
Return on Investment
Databricks
  • The ability to spin up a BIG Data platform with little infrastructure overhead allows us to focus on business value not admin
  • DB has the ability to terminate/time out instances which helps manage cost.
  • The ability to quickly access typical hard to build data scenarios easily is a strength.
Read full review
Plotly
  • A no-cost option as it is open sourced.
Read full review
ScreenShots