Databricks Data Intelligence Platform vs. Mode Analytics

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Databricks Data Intelligence Platform
Score 8.5 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
Mode
Score 8.1 out of 10
N/A
Mode, or Mode Analytics, from ThoughtSpot since the June 2023 acquisition, is a business intelligence platform that unifies company analytics by bringing data teams and business teams together, so analysts can provide rapid answers to strategic, ad hoc questions. And, business stakeholder can access relevant data to answer their own questions which can often detract more impactful work.N/A
Pricing
Databricks Data Intelligence PlatformMode Analytics
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 Data Intelligence PlatformMode
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Databricks Data Intelligence PlatformMode Analytics
Considered Both Products
Databricks Data Intelligence Platform

No answer on this topic

Mode
Chose Mode Analytics
  • Tableau is a huge pain to edit or create dashboards, by comparison. It can make better looking visualizations, but in practice, letting users drill down and change dimensions slows the end user experience so much that it's often not worth it.
  • Looker is amazing for data modeling, …
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Features
Databricks Data Intelligence PlatformMode Analytics
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Databricks Data Intelligence Platform
-
Ratings
Mode Analytics
8.5
9 Ratings
4% above category average
Pixel Perfect reports00 Ratings9.34 Ratings
Customizable dashboards00 Ratings8.49 Ratings
Report Formatting Templates00 Ratings7.86 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Databricks Data Intelligence Platform
-
Ratings
Mode Analytics
7.5
9 Ratings
7% below category average
Drill-down analysis00 Ratings7.18 Ratings
Formatting capabilities00 Ratings6.89 Ratings
Integration with R or other statistical packages00 Ratings7.49 Ratings
Report sharing and collaboration00 Ratings8.88 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Databricks Data Intelligence Platform
-
Ratings
Mode Analytics
7.9
8 Ratings
5% below category average
Publish to Web00 Ratings8.15 Ratings
Publish to PDF00 Ratings5.98 Ratings
Report Versioning00 Ratings7.74 Ratings
Report Delivery Scheduling00 Ratings9.58 Ratings
Delivery to Remote Servers00 Ratings8.34 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Databricks Data Intelligence Platform
-
Ratings
Mode Analytics
6.5
9 Ratings
21% below category average
Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings7.79 Ratings
Location Analytics / Geographic Visualization00 Ratings5.56 Ratings
Predictive Analytics00 Ratings6.46 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
Databricks Data Intelligence Platform
-
Ratings
Mode Analytics
9.4
2 Ratings
10% above category average
Multi-User Support (named login)00 Ratings10.02 Ratings
Role-Based Security Model00 Ratings9.02 Ratings
Multiple Access Permission Levels (Create, Read, Delete)00 Ratings9.02 Ratings
Single Sign-On (SSO)00 Ratings9.82 Ratings
Application Program Interfaces (APIs) / Embedding
Comparison of Application Program Interfaces (APIs) / Embedding features of Product A and Product B
Databricks Data Intelligence Platform
-
Ratings
Mode Analytics
9.0
1 Ratings
13% above category average
REST API00 Ratings9.01 Ratings
Best Alternatives
Databricks Data Intelligence PlatformMode Analytics
Small Businesses

No answers on this topic

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Score 9.0 out of 10
Medium-sized Companies
Snowflake
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Score 9.0 out of 10
Reveal
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Score 9.9 out of 10
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Snowflake
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Score 9.7 out of 10
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User Ratings
Databricks Data Intelligence PlatformMode Analytics
Likelihood to Recommend
8.4
(17 ratings)
8.1
(9 ratings)
Usability
9.5
(3 ratings)
8.1
(4 ratings)
Support Rating
8.6
(2 ratings)
7.4
(5 ratings)
Contract Terms and Pricing Model
8.0
(1 ratings)
-
(0 ratings)
Professional Services
10.0
(1 ratings)
-
(0 ratings)
User Testimonials
Databricks Data Intelligence PlatformMode Analytics
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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ThoughtSpot
Mode is a clear category winner for how it easy it is to go from interactive analysis to professional quality reporting. You can easily do all your SQL and quite a bit of R/Python. If you want to quickly go from your database to simple charts, this is your pick. If you need to do heavier data modeling, scheduling jobs, or ML, you'll need something else, like Databricks. In my opinion, the quality of visualizations and some developer/analyst features make Databricks an unacceptable substitute.
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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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ThoughtSpot
  • It allows me to undertake data visualization tasks by creating really insightful charts and dashboards
  • It allows for easy sharing and work collaboration on data analysis tasks
  • Mode has an easier to use SQL editor as well
  • I love how it organizes all our SQL data tables into easy-to-view data we can draw insights on
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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ThoughtSpot
  • Date ranges aren't always the most intuitive to set, strangely
  • Faster refresh rates would be ideal
  • Would love more dynamic mobile device integration (alerts, etc)
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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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ThoughtSpot
For the advanced user already familiar with Python. It is just the same tool, already managed and connected to the data.
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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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ThoughtSpot
Mode has dedicated agents who are online in a chatroom, ready to take on any questions and provide helpful feedback.
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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.
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ThoughtSpot
We used both Qlik and Mode at our organization. The mode was used a quick analysis SQL tool while Qlik was our enterprise BI solution.
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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.
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ThoughtSpot
  • Extremely positive. It's a key feature in our application.
  • Were it not for the account management bit, Mode would be hands-down our recommendation for anyone looking for cloud BI.
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ScreenShots