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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)
    7.4
    74%
  • Formatting capabilities (9)
    6.7
    67%
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Pricing

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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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What is Spotfire?

Spotfire® is a data visualization platform that utilizes predictive analytics. In addition to data viz, it includes data wrangling capabilities, predictive analytics, location analytics, and real-time streaming analytics. Spotfire® is a business unit of Cloud Software Group, formerly known as…

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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.

7.5
Avg 8.1

Report Output and Scheduling

Ability to schedule and manager report output.

7.9
Avg 8.3

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 8.0

Access Control and Security

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

9.4
Avg 8.5

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 Report Delivery Scheduling highest, with a score of 9.5.

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

(1-9 of 9)
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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.
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)
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.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
In my previous org, we used Mode as our cloud SQL editor tool for quick analysis which would be usually used by analytics folks who were SQL savvy.
  • data exploration
  • great visuals
  • easy to use
  • Being able to connect to static data sources (google sheets)
Great for quick analysis and easy to set up and get going. I would not use it as an enterprise BI tool as it has quite a few limitations. Especially when it comes to massive data sets and being able to connect to various data sources.
December 23, 2021

Mode Analytics

Devindra Sooklall | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Mode is a great BI tool for creating reports to pull, analyze, and visualize data. It was very helpful in identifying sore spots in our operations and pointing out where action needed to be taken. It is a reliable tool that is fast, user-friendly, and easily accessible by those who are less tech-forward as well.
  • Stability
  • Ease of Use
  • Ease of sharing reports
  • More color schemes
  • More training videos
  • Lower cost!
Mode is well suited for creating reports that need to be viewed with relative frequency or reports that are difficult to run manually. I believe it has a place in any organization that needs to analyze/visualize/democratize data across stakeholders due to its accessibility and overall ease of use/navigation.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
We use Mode's white label embed feature, to power in-app reporting for our customers -- even going so far as doing rapid prototyping for them. We also use Mode Analytics to centralize, protect, and ease our team's access to data sources.
  • Easy to use (click a button and get right to SQL).
  • Security First (everything is locked down by default).
  • The White Label feature is super easy to skin -- our embedded reports look just like our app!
  • My only gripe is account management. The AM team turns over often, and every renewal is a fight, starting with a 40% price hike and ultimately getting whittled down to something reasonable.
Mode Analytics is great for white label embedding (on one hand, the feature hasn't been improved much since we signed up; on the other -- it hasn't needed to improve) -- our reports look excellent. Mode Analytics is also great for a security-first analytics console. Click a button and get right to powerful SQL and Python tooling with your data.
Jacob Rossi | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
I use Mode Analytics to set up custom dashboards for monitoring key business metrics, from customer sentiments and escalation statistics, to detailed app engagement data. The scope is typically limited to the web and in-app help/support sections of the experience. It's particularly helpful for monitoring project impact after deploying significant changes to the product.
  • Customizable dashboards
  • Versital metrics and dynamic inputs
  • Intuitive interface
  • Exportation of results
  • 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)
After launching a new contact pathway in a help experience, Mode Analytics can help provide insight into the sentiments from users as well as the engagement with any written content. Numeric outputs are easier to manage, whereas more nuanced/emotional feedback is sometimes hard to quantify (though not impossible if you get creative).
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Mode Analytics is our main source of querying from our databases. We can pull data using PrestoSQL (Trino), visualize different metrics for trends, create quick dashboards for stakeholders, and even incorporate more sophisticated R or Python logic via their built-in notebook tool.
  • Multi-platform integration
  • Customer support
  • Clean UI for great UX
  • Scope of visualizations available
  • Advance dashboarding customizations
  • Drill-downs
Mode is great for speed and presentation. If you have a business idea, want to see a data prototype to validate your hunch, and need something to easily pull a few lines of SQL code and build a dashboard, Mode is a perfect solution. It's also a tool that allows for easy dashboard sharing. It does not have some of the nuances offered by Tableau but wins out in simplicity/intuitiveness. If you're looking for high-level modeling/forecasting, however, Mode comes up a bit short. Anything requiring a lot of processing power should be moved to a dedicated notebook/programming environment.
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.
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