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Mode

Mode

Overview

What is Mode?

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,…

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Recent Reviews
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 20 features
  • Customizable dashboards (9)
    8.4
    84%
  • Pre-built visualization formats (heatmaps, scatter plots etc.) (9)
    7.7
    77%
  • Integration with R or other statistical packages (9)
    7.5
    75%
  • Formatting capabilities (9)
    6.8
    68%
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Pricing

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N/A
Unavailable

What is Mode?

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…

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://mode.com/compare-plans

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Demos

Introducing Big Values

YouTube

Introduction to Explorations

YouTube

Introduction to Calculated Fields

YouTube

Introduction to Python Edge

YouTube

What Is Visual Explorer?

YouTube

Introduction to Parameters

YouTube
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Features

BI Standard Reporting

Standard reporting means pre-built or canned reports available to users without having to create them.

8.5
Avg 8.2

Ad-hoc Reporting

Ad-Hoc Reports are reports built by the user to meet highly specific requirements.

7.6
Avg 8.1

Report Output and Scheduling

Ability to schedule and manager report output.

7.9
Avg 8.4

Data Discovery and Visualization

Data Discovery and Visualization is the analysis of multiple data sources in a search for patterns and outliers and the ability to represent the data visually.

6.5
Avg 8.1

Access Control and Security

Access control means being able to determine who has access to which data.

9.4
Avg 8.6

Application Program Interfaces (APIs) / Embedding

APIs are a set of routines, protocols, and tools for used for embedding one application in another

9
Avg 7.9
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Product Details

What is Mode?

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.

With Mode as a central hub for a company’s analysis, data teams and business teams can work with data together with the goal of creating operational efficiency, increasing data literacy, and turning data into a competitive advantage.

Mode Features

BI Platform Features

  • Supported: Live Connection to External Data
  • Supported: In-memory data model

Supported Data Sources Features

  • Supported: Oracle
  • Supported: MS SQL Server
  • Supported: Postgres
  • Supported: MySQL
  • Supported: Salesforce
  • Supported: Google Analytics

BI Standard Reporting Features

  • Supported: Customizable dashboards

Ad-hoc Reporting Features

  • Supported: Drill-down analysis
  • Supported: Formatting capabilities
  • Supported: Predictive modeling
  • Supported: Integration with R or other statistical packages
  • Supported: Report sharing and collaboration

Report Output and Scheduling Features

  • Supported: Publish to Web
  • Supported: Publish to PDF
  • Supported: Output Raw Supporting Data
  • Supported: Report Delivery Scheduling

Data Discovery and Visualization Features

  • Supported: Pre-built visualization formats (heatmaps, scatter plots etc.)
  • Supported: Predictive Analytics
  • Supported: Support for Machine Learning models
  • Supported: Integration with R or other statistical packages

Access Control and Security Features

  • Supported: Multi-User Support (named login)
  • Supported: Role-Based Security Model
  • Supported: Multiple Access Permission Levels (Create, Read, Delete)
  • Supported: Single Sign-On (SSO)

Application Program Interfaces (APIs) / Embedding Features

  • Supported: REST API

Mode Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

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.

Looker, Tableau Desktop, and Sisense for Cloud Data Teams are common alternatives for Mode.

Reviewers rate Pixel Perfect reports and Report Delivery Scheduling highest, with a score of 9.3.

The most common users of Mode are from Small Businesses (1-50 employees).
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Comparisons

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Reviews and Ratings

(18)

Attribute Ratings

Reviews

(1-4 of 4)
Companies can't remove reviews or game the system. Here's why
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Mode is designed for data people. It is extremely flexible and fast, and you can turn your exploratory queries into professional looking visualizations easily. Mode supports analysis, visualization, data processing in R or Python notebooks, and report writing. I use Mode for everything, from jumping in to quickly answer a simple question to in-depth analytical projects to OKR reporting.
  • Interactive querying
  • Visualization options
  • Report building
  • It's not designed for data engineering, like scheduling table creation, etc.
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.
BI Platform
N/A
N/A
Supported Data Sources
N/A
N/A
BI Standard Reporting (1)
100%
10.0
Customizable dashboards
100%
10.0
Ad-hoc Reporting (4)
82.5%
8.3
Drill-down analysis
80%
8.0
Formatting capabilities
70%
7.0
Integration with R or other statistical packages
80%
8.0
Report sharing and collaboration
100%
10.0
Report Output and Scheduling (3)
50%
5.0
Publish to Web
N/A
N/A
Publish to PDF
50%
5.0
Report Delivery Scheduling
100%
10.0
Data Discovery and Visualization (2)
90%
9.0
Pre-built visualization formats (heatmaps, scatter plots etc.)
100%
10.0
Predictive Analytics
80%
8.0
Access Control and Security (4)
95%
9.5
Multi-User Support (named login)
100%
10.0
Role-Based Security Model
90%
9.0
Multiple Access Permission Levels (Create, Read, Delete)
90%
9.0
Single Sign-On (SSO)
100%
10.0
Mobile Capabilities
N/A
N/A
Application Program Interfaces (APIs) / Embedding (1)
N/A
N/A
REST API
N/A
N/A
  • Mode has saved my team so much time compared to slow, unwieldy tools like Tableau.
  • Mode has made data discovery and sharing much easier.
  • 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, but you have to get your whole business all in on it to take advantage. Viz capabilities are similar.
  • Databricks has a lot of functionality overlap, but the visualizations are terrible. Databricks' great strength is that you can use notebooks to do anything with code.
It's very easy to use. See my answers to all the other questions about its strength.
Support has been very responsive and understanding whenever my team has had a problem. The staff is responsive, and they are able to talk with engineers who work on the product and fix issues or troubleshoot when the problem is on my end.
Score 6 out of 10
Vetted Review
Verified User
Incentivized
It provides visibility into data that otherwise would be inaccessibility and allows the building of views of diff slices of data
  • Views into different slices of data
  • Making otherwise inaccessible data accessible
  • It's not terribly user friendly. someone else had to be provided instruction on what we needed and they put it together
  • it could be more visually pleasing in terms of data consumption
It's well suited to showing raw charts of data, but so far I haven't seen visually-friendly windows into data (eg interactive charts and the like)
BI Platform
N/A
N/A
Supported Data Sources
N/A
N/A
BI Standard Reporting (1)
70%
7.0
Customizable dashboards
70%
7.0
Ad-hoc Reporting (4)
62.5%
6.3
Drill-down analysis
60%
6.0
Formatting capabilities
60%
6.0
Integration with R or other statistical packages
60%
6.0
Report sharing and collaboration
70%
7.0
Report Output and Scheduling (3)
N/A
N/A
Publish to Web
N/A
N/A
Publish to PDF
N/A
N/A
Report Delivery Scheduling
N/A
N/A
Data Discovery and Visualization (2)
50%
5.0
Pre-built visualization formats (heatmaps, scatter plots etc.)
50%
5.0
Predictive Analytics
50%
5.0
Access Control and Security (4)
N/A
N/A
Multi-User Support (named login)
N/A
N/A
Role-Based Security Model
N/A
N/A
Multiple Access Permission Levels (Create, Read, Delete)
N/A
N/A
Single Sign-On (SSO)
N/A
N/A
Mobile Capabilities
N/A
N/A
Application Program Interfaces (APIs) / Embedding (1)
N/A
N/A
REST API
N/A
N/A
  • It's allowed me to have access to data I'd otherwise have to ask an engineer for every time I wanted to see it
I like that it gives me access to info I wouldn't otherwise have but the set up isn't intuitive and the view isn't v visually appealing
skip - haven't used support for mode
Kofi Obo Wood | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
We are using Mode to monitor ongoing financial transactions written to our SQL data tables in real-time. Mode provides perhaps one of the really nice and standardized ways we are able to view transaction data from our users' activity as a fintech. Otherwise, we would have to view it from raw SQL data which can be quite "ugly".
  • 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
  • I did not like that it does not give me a real-time refresh ability for the data we are fetching from our SQL data tables and I have to run my SQL script every time I needed to see the up-to-date data
  • I also did not like the fact that Mode is not optimized for mobile web view, this makes it use mostly desktop computer limited for me
  • Sometimes it has limited chart options when it comes to data visualization
Mode is well suited for scenarios where one has to do queries in both SQL and R programming allowing for dynamic data pulls. This along with its ability to schedule reports allows for collaborative work with different teams. But unfortunately, it has limited options when it comes to visual charts. Mode also allows for seamless display of data. The SQL environment is quite intuitive and easy to use with chart-building and calculated fields tools stacked on top of the underlying query making the data more accessible to people who have limited SQL knowledge. Unfortunately, Mode can also be quite slow in handling larger data sets and its error handling is not as expansive as one may want.
BI Platform
N/A
N/A
Supported Data Sources
N/A
N/A
BI Standard Reporting (1)
80%
8.0
Customizable dashboards
80%
8.0
Ad-hoc Reporting (4)
82.5%
8.3
Drill-down analysis
70%
7.0
Formatting capabilities
70%
7.0
Integration with R or other statistical packages
90%
9.0
Report sharing and collaboration
100%
10.0
Report Output and Scheduling (3)
83.33333333333334%
8.3
Publish to Web
80%
8.0
Publish to PDF
80%
8.0
Report Delivery Scheduling
90%
9.0
Data Discovery and Visualization (2)
75%
7.5
Pre-built visualization formats (heatmaps, scatter plots etc.)
90%
9.0
Predictive Analytics
60%
6.0
Access Control and Security (4)
92.5%
9.3
Multi-User Support (named login)
100%
10.0
Role-Based Security Model
90%
9.0
Multiple Access Permission Levels (Create, Read, Delete)
90%
9.0
Single Sign-On (SSO)
90%
9.0
Mobile Capabilities
N/A
N/A
Application Program Interfaces (APIs) / Embedding (1)
90%
9.0
REST API
90%
9.0
  • It has allowed us to monitor ongoing financial transactions written to our SQL data tables in real-time and that helps us to monitor user transaction activities in real-time
  • Using Mode we have been able to also track users who undertake fraudulent financial transactions; preventing financial losses to our users
  • Mode's collaborative abilities have been very helpful in sharing transaction monitoring workload across our compliance and cybersecurity team
Because of how Mode does not require a lot of SQL knowledge and how developing charts are more of a drag and drop building almost everyone can pick up using Mode. It is also flexible in giving users a way to view your data how you want. Plus it has a lot of in-app tutorials for users.
Because as users of Mode, there have been issues we report that still persist on Mode; even when new updates are rolled in; An example of this is buggy error reporting that still persists in Mode as a software. Yes, they do respond to email queries but it takes a little bit of time for actual feedback on reported issues.
November 09, 2020

For the advanced user

Score 9 out of 10
Vetted Review
Verified User
Incentivized
We use Mode Analytics in our company when we need an easy way to access the data combined with the flexibility of using Python to perform advanced analysis. The uses range from marketing analytics to customer behavior, and we might use it for fraud analytics. The department that uses it is the research department, where engineers and data scientists have the knowledge required to use it.
  • Connect to databases
  • Python Notebooks
  • Flexible analysis modes
  • Requires advanced knowledge to use
  • Drilldowns and filters are not simple
For any data scientists or engineers willing to do advanced analytics. The simple analytics in it are hard to do. And business users with no knowledge of SQL will have a problem to even get started. The availability of Python and JS will give advanced users a lot of flexibility without the need to learn anything new. IT will just streamline access to data and management of notebook versions.
BI Platform
N/A
N/A
Supported Data Sources
N/A
N/A
BI Standard Reporting (3)
80%
8.0
Pixel Perfect reports
80%
8.0
Customizable dashboards
90%
9.0
Report Formatting Templates
70%
7.0
Ad-hoc Reporting (4)
87.5%
8.8
Drill-down analysis
80%
8.0
Formatting capabilities
100%
10.0
Integration with R or other statistical packages
100%
10.0
Report sharing and collaboration
70%
7.0
Report Output and Scheduling (5)
88%
8.8
Publish to Web
90%
9.0
Publish to PDF
80%
8.0
Report Versioning
90%
9.0
Report Delivery Scheduling
90%
9.0
Delivery to Remote Servers
90%
9.0
Data Discovery and Visualization (3)
56.66666666666667%
5.7
Pre-built visualization formats (heatmaps, scatter plots etc.)
90%
9.0
Location Analytics / Geographic Visualization
80%
8.0
Predictive Analytics
N/A
N/A
Access Control and Security
N/A
N/A
Mobile Capabilities
N/A
N/A
Application Program Interfaces (APIs) / Embedding
N/A
N/A
  • It saved engineering the trouble to create and maintain advanced reports
Mode is the best for the advanced user with advanced use cases. Even creating a simple report will require an SQL query. No drag-and-drop interface for querying data. But it is best for the advanced user already familiar with Python or R and SQL. The other products are more business friendly.
For the advanced user already familiar with Python. It is just the same tool, already managed and connected to the data.
I didn't have to use IT support, so I don't know. But the system is asking me to give a rating. The documentation is good.
Chartio, Segment, Sift
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