Recent Reviews

Popular Features

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Report Delivery Scheduling (8)


Customizable dashboards (8)


Formatting capabilities (8)


Publish to PDF (8)


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What is Mode?

Mode is an analytics platform designed to help data analysts and data scientists analyze, visualize, and share data, from Mode Analytics headquartered in San Francisco. The Studio support level provides individual analysts or up to 5 users with an SQL editor, as well as a Python and R notebook.…

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Features Scorecard

BI Standard Reporting


Ad-hoc Reporting


Report Output and Scheduling


Data Discovery and Visualization


Access Control and Security


Application Program Interfaces (APIs) / Embedding


Product Details

What is Mode?

Mode is an advanced analytics solution that presents what they describe as an ideal environment for data analysts’ workflows—writing SQL, analyzing in Python and R notebooks, visualizing results, and sharing insights—in a single experience. Powered by Helix, Mode’s in-memory database is designed for filtering, aggregating, and adjusting query results with sub-second latency.

The Mode platform aims to be where analysts can directly answer complex data questions and empower stakeholders to answer their own questions in one tool. In Mode, analysts can build, share, iterate, and expand on data with the same speed that they go from question to code query.

Mode optimizes the entire analyst workflow—from interactive data science to modern BI—helping users to make confident decisions, fast.

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 Video

Mode is a collaborative analytics platform that brings together SQL, R, and Python into a single BI tool. Analysts and business users can quickly analyze, visualize, and share data to answer their most challenging business questions in a powerful end-to-end workflow.

Mode Integrations

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Mode Technical Details

Deployment TypesSaaS
Operating SystemsUnspecified
Mobile ApplicationNo


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Frequently Asked Questions

What is Mode?

Mode is an analytics platform designed to help data analysts and data scientists analyze, visualize, and share data, from Mode Analytics headquartered in San Francisco. The Studio support level provides individual analysts or up to 5 users with an SQL editor, as well as a Python and R notebook. Business and Enterprise plans support additional collaboration features, role-based access control, and support for building visualizations describing larger datasets.

What is Mode's best feature?

Reviewers rate Pixel Perfect reports and Report sharing and collaboration highest, with a score of 9.2.

Who uses Mode?

The most common users of Mode are from Small Businesses (1-50 employees) and the Financial Services industry.

Reviews and Ratings




(1-8 of 8)
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Kofi Obo Wood | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
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.
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.
Score 9 out of 10
Vetted Review
Verified User
Review Source
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
Review Source
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
Review Source
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
Review Source
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
Review Source
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.
Mode has dedicated agents who are online in a chatroom, ready to take on any questions and provide helpful feedback.
Score 9 out of 10
Vetted Review
Verified User
Review Source
It's being used by the BI department mostly, although other departments with analysts use it too. It addresses mostly ad-hoc reporting.
  • Simple and nice layout
  • Easy reporting and sharing within the organization
  • Easy to use for non-tech consumers.
  • Jinja use to expand SQL capabilities could have more features, for example use results of a query as input.
  • Better visualization charts.
  • Better Usability for report creation
Mode provides easy and quick reports, specially for specific requests, and the ability to create simple reports and schedules for sharing. It is less suitable as a single BI tool since it's reporting flexibility is limited.
November 09, 2020

For the advanced user

Score 9 out of 10
Vetted Review
Verified User
Review Source
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.
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.