---
title: Hex Reviews
meta_title: 'Hex Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter 402 reviews by the users' company size, role or industry
  to find out how Hex works for a business like yours.
aggregate_rating:
  rating_value: 4.5
  review_count: 402
  scale: '5'
date_modified: '2026-07-17'
parent_category:
  name: Analytics Tools & Software
  url: https://www.g2.com/categories/analytics-tools-software
---

# Hex Reviews
**Vendor:** Hex Tech  
**Category:** [Analytics Platforms](https://www.g2.com/categories/analytics-platforms)  
**Average Rating:** 4.5/5.0  
**Total Reviews:** 402
## About Hex
Hex is the world’s favorite AI Analytics platform. With Hex, anyone can explore data using natural language, with or without code, all on trusted context, in one AI-powered platform. Get started now \&gt; https://app.hex.tech/signup?source=g2 Get a demo \&gt; https://hex.tech/request-a-demo/?source=g2



## Hex Pros & Cons
**What users like:**

- Users enjoy the **user-friendly ease of use** of Hex, making integration and setup smooth and efficient. (114 reviews)
- Users appreciate the **seamless integration of SQL and Python** in Hex, enhancing their analytical experience significantly. (73 reviews)
- Users appreciate the **seamless data integration** and intuitive tools of Hex, enhancing collaboration and analysis efficiency. (69 reviews)
- Users appreciate the **seamless integration of SQL and Python** in Hex, enhancing their analytical experience efficiently. (66 reviews)
- Users appreciate the **seamless data analysis capabilities** of Hex, combining ease of use with powerful tools for collaboration. (55 reviews)
- Useful (55 reviews)
- Intuitive (48 reviews)
- Users value the **Python support** in Hex, enabling effortless dashboard creation and seamless switching between Python and SQL. (48 reviews)
- User Interface (42 reviews)
- Data Visualization (40 reviews)

**What users dislike:**

- Users express concerns about Hex&#39;s **limited features** , finding them insufficient compared to more robust BI tools. (43 reviews)
- Users note the **missing features** in Hex, such as saved query results and improved data visualization options. (39 reviews)
- Users feel that Hex&#39;s **lack of essential features** hinders its dashboarding capabilities and overall effectiveness. (35 reviews)
- Users experience **slow performance** in Hex, especially in virtual machines, impacting usability and functionality. (28 reviews)
- Users face **data management issues** with Hex, including unreliable notebook runs and GPU integration challenges affecting productivity. (27 reviews)
- Users find Hex&#39;s **limited visualization capabilities** frustrating due to data size restrictions and inadequate filtering options. (26 reviews)
- Users find Hex&#39;s **limited customization** options frustrating, hindering its potential as a comprehensive data visualization tool. (24 reviews)
- Notebook Usability (22 reviews)
- Bugs (19 reviews)
- Lack of Customization (19 reviews)

## Hex Reviews
  ### 1. Seamless SQL-to-Python Analysis in One Notebook

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Research | Mid-Market (51-1000 emp.)

**Reviewed Date:** February 01, 2026

**What do you like best about Hex?**

I like that I can use SQL to query and use the data immediately with Python in the same notebook

**What do you dislike about Hex?**

Not sure why but sometimes it's slower to use Hex

**What problems is Hex solving and how is that benefiting you?**

I can query and use the data right away in the same notebook

  ### 2. HEX Review

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Real Estate | Mid-Market (51-1000 emp.)

**Reviewed Date:** September 08, 2025

**What do you like best about Hex?**

-Query Optimization.
-Notebook distribution.
-Multiple DBs pull within a same Notebook.
-Components, Sections, Cells, etc... logic is wonderful.
-Visualizations are beautiful.
-Configs. in general, the tool is awesome.
-Snapshots, Explorations and Saved Views are sweet!
-Comments interactions
-Tab and Visualization flexibility on the App Builder

**What do you dislike about Hex?**

-Filters delay a lot to run. Not sure the cause, in other visualization tools that I've used filters usually run in seconds.
-Lack of colour pallets by default.
-Conditional formatting in pivots is kind of raw. Would like to have more flexibility to add partitions or different colour -pallets.
-Pivots should have '% of total' calc as an easy addition, currently not.

**What problems is Hex solving and how is that benefiting you?**

Interactive Analysis: Quickly explore data with interactive charts and tables.

Reproducibility: Your entire analysis is documented, making it easy to reproduce and share.

Customizable Dashboards: Create tailored dashboards for different business needs and stakeholders.

Collaboration: Share your work easily with colleagues to foster better teamwork.

Data Connectivity: Seamlessly connect to various data sources.

Code Flexibility: Use a mix of Python, SQL, and no-code tools for efficient analysis.

Data Storytelling: Combine code, charts, and text to build a compelling data narrative.

Version Control: Track changes and revert to previous versions of your analysis.

Rapid Prototyping: Quickly test and prototype new analytical models.

Empowerment: Create shareable projects that empower business users to self-serve their data needs.

  ### 3. Excellent Bilingual Support and Top-Notch Agent

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.)

**Reviewed Date:** January 09, 2026

**What do you like best about Hex?**

bilinguality, the agent is good, the UX is mostly strong

**What do you dislike about Hex?**

I think there needs to be more metadata and notebook monitoring/analytics, also notebook organization is a difficult point in the UX

**What problems is Hex solving and how is that benefiting you?**

it is an excellent replacement instead of making a bunch of custom integrations. it speeds data analysts.

  ### 4. Hex is essential to my workflow

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 12, 2025

**What do you like best about Hex?**

I frequently use Hex to share queries with my coworkers to facilitate collaboration. It's also great for sharing visualizations and dashboards with non technical partners. The interface is also easy to use/understand so onboarding onto the tool was very fast. Hex has unlocked a lot of low investment tooling for us that has freed up bandwidth on the engineering side

**What do you dislike about Hex?**

The AI powered auto-correction of queries is not super intelligent and sometimes I need to rely on other AI agents to solve the problem. I also wish the documentation was easier to parse.

**What problems is Hex solving and how is that benefiting you?**

WIth Hex I was able to build a tracking tool to track the status of long running jobs and give that to our operations team. Now they can monitor the status of these jobs without requiring an engineer's support. Similarly I've also been able to build a lot of ops tooling for investigating user reported issues, reducing the time burden on engineering.

  ### 5. Great improvement on other tooling

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.)

**Reviewed Date:** June 09, 2025

**What do you like best about Hex?**

I used to use Jupyter Notebooks before switching over to a company that has Hex. What I really like is that it's super easy to import our ClickHouse databases so that I can start exploring the data right away. I love that I can integrate SQL cells that output a dataframe alongside Python cells to further work with those dataframes. I also really like the simple charts that I can make without much fuss. I would previously have been frustrated to work with matplotlib to create perfectly formatted charts, which isn't necessary any more here. Other stakeholders in my company can then dig into the notebooks I create and filter / cut the data however they like, which makes the data and insights very easy to share.

**What do you dislike about Hex?**

There are a few shortcuts that I used to use with Jupyter Notebooks that I think are just a bit harder with Hex, such as moving cells by keyboard shortcuts multiple places. I also wish I had a way to collapse sections of cells that I didn't need to see any more to make it easier to look through a larger notebook. I also found it difficult at first to figure out how to take variable names and integrate them into SQL cells, if I'm looking for an easy way to filter results by an attribute but know I want to test a few attribute values one at a time in my testing and EDA process. I eventually figured it out, but it took a few tries and some help from ChatGPT to get it after maybe an hour or two, which felt frustrating in the moment.

**What problems is Hex solving and how is that benefiting you?**

Two things:
1) It helps me take cleaned data from ClickHouse tables and create a dashboard / charts for other stakeholders, such as salespeople, to use to then filter results for relevant clients or sales prospects
2) I use it to help explore uncleaned datasets to figure out how to create models / algorithms to clean or do more interesting things with raw data.

  ### 6. Fast and Easy to Use, but Build Quality Can Be an Issue

**Rating:** 4.5/5.0 stars

**Reviewed by:** Artemij V. | Data Science Lead, Small-Business (50 or fewer emp.)

**Reviewed Date:** October 16, 2025

**What do you like best about Hex?**

Ease of use and speed. Support of various graphical representations. It also is really easy to copy-paste my local code into the web platform

**What do you dislike about Hex?**

Sometimes making sure the installed python package version aligns with what one needs (no outdated packages)

**What problems is Hex solving and how is that benefiting you?**

We aim to provide real-time analytics based on our data and it goes beyond simple SQL. This is where hex comes in very handy as we can execute Python scripts with ease including ML models

  ### 7. Magic AI and Integrations That Deliver

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.)

**Reviewed Date:** April 29, 2026

**What do you like best about Hex?**

The magic AI and the integrations available

**What do you dislike about Hex?**

It is supers slow and glitchy sometimes especially while reviewing a project

**What problems is Hex solving and how is that benefiting you?**

Business intelligence projects and dashboards.

  ### 8. Notebook Agent Makes Work Effortless

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.)

**Reviewed Date:** December 18, 2025

**What do you like best about Hex?**

the notebook agent and how the magic helps with writing functions

**What do you dislike about Hex?**

that i cant run an agent on top of projects to show changes and have it highlight things to look for

**What problems is Hex solving and how is that benefiting you?**

we can feed our datalake in and have a centralised place for all data analysis and BI

  ### 9. Instantly Useful and Effortlessly Shareable

**Rating:** 5.0/5.0 stars

**Reviewed by:** Byrne H. | Analyst, Small-Business (50 or fewer emp.)

**Reviewed Date:** December 23, 2025

**What do you like best about Hex?**

The best part is how quickly you can get to something useful and shareable.

**What do you dislike about Hex?**

Not much to be honest. It does everything I need.

**What problems is Hex solving and how is that benefiting you?**

It allows me to make python based statistical tools that I can democratise and share - through input variables and published apps.

  ### 10. Data Analytics to the 21st century

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Civic & Social Organization | Small-Business (50 or fewer emp.)

**Reviewed Date:** June 04, 2025

**What do you like best about Hex?**

Hex makes it a breeze to bring complex SQL queries into one place and run efficient analysis or further transformations. The benefit of being able to use Python in the same environment is also a great addition. It opens the possibility to run more advanced analysis, run machine learning models or create more intricate visualizations. There is also the built-in version control for projects which, again, brings Hex to the new era of analytics. Although I'm not a power user of Hex Magic, their take of AI assistant, it seems to be well-respected among the people I know who use it.

**What do you dislike about Hex?**

There's not much to dislike about Hex, truth be told. The team behind Hex seem passionate to continue to build their tool and listen to feedback from users.

**What problems is Hex solving and how is that benefiting you?**

Making it easy to run complex queries in one place while having version control available.

  ### 11. Effecient Dahsboard design but Very slow run

**Rating:** 3.0/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.)

**Reviewed Date:** October 15, 2025

**What do you like best about Hex?**

It's surprisingly easy to create a visually appealing dashboard. The process feels straightforward, and the tools make it simple to design something that looks good.

**What do you dislike about Hex?**

The software runs very slowly for me. Even when I try to update my relatively small dashboard, simply changing a single filter can take an entire minute to process. This makes monitoring tasks feel tedious and frustrating.

**What problems is Hex solving and how is that benefiting you?**

Fills the need for a dashboard and the ability to connect to databases.

  ### 12. Enhanced notebooks with great visualization tools, and room for improvement

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.)

**Reviewed Date:** November 04, 2025

**What do you like best about Hex?**

This is like an enhanced version of standard Jupyter Notebooks or Google Colab. It offers excellent visualization capabilities, makes sharing and publishing notebooks straightforward, and provides solid SQL integration.

**What do you dislike about Hex?**

There is occasional heavy lag, and the AI assistant is noticeably less effective compared to those in other products. Additionally, I am unable to use ipywidgets and standard dashboarding libraries.

**What problems is Hex solving and how is that benefiting you?**

Product analytics, data monitoring

  ### 13. What I like about HEx

**Rating:** 4.0/5.0 stars

**Reviewed by:** PRACHIT K. | Software Engineer - Salesforce , Mid-Market (51-1000 emp.)

**Reviewed Date:** September 03, 2025

**What do you like best about Hex?**

simple and easy to use UI 
Easy to retrieve data 
Easy to Integrate with other platforms

**What do you dislike about Hex?**

UI can be improved 
sometimes crashes become frequent. 
gets slow inside virtual machine

**What problems is Hex solving and how is that benefiting you?**

Data for donors can easily be retrieved and using the analysis  , behavior of customer
can be tracked and this also helps further in improving customer experience

  ### 14. Superb product to create and share analytic and data science projects

**Rating:** 5.0/5.0 stars

**Reviewed by:** Adam W. | Senior Data Analyst, Mid-Market (51-1000 emp.)

**Reviewed Date:** February 19, 2025

**What do you like best about Hex?**

Hex is a wonderful product. It is a souped Jupyter notebook with native SQL and some nifty dashboarding features. For people able to code is a far superior solution compared to point and click BI tools like Tableau and Power BI.

**What do you dislike about Hex?**

The three things I feel most limited by are:
1. It would be really nice to be able to support Python packages like pymer4 that rely on an R instance to run. There are many statistical packages that are R only.
2. The R functionality is basic compared to what is supported in Python. Would liek to see that built out.
3. Hex is pretty limited computationally compared to even my local machine. I often run into a bottleneck in terms of pure computation.

**What problems is Hex solving and how is that benefiting you?**

I use Hex as a souped up Jupyter notebook with native SQL and it is fantastic for that purpose. The evolving charting and interactivity components are a nice cherry on top.

  ### 15. Easy-to-use tool that makes collaboration and visualization seamless!

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Non-Profit Organization Management | Mid-Market (51-1000 emp.)

**Reviewed Date:** May 05, 2025

**What do you like best about Hex?**

Being able to jump back and forth between SQL, R/Python, and other built in Hex features makes data investigation and analysis seamless! I used to spend a lot of time building a dataset with SQL, exporting it to my local machine, doing investigation and analysis, re-uploading for others to see, etc. Hex is a one-stop-shop for all of this that also has integrated version control and collaborative features so my team can see what I'm doing in real time.

**What do you dislike about Hex?**

My only real criticism is that it can be a little slow in syncing data from our warehouse, but we also have tons of data stored and are often using large datasets, so it's hard to fault the

**What problems is Hex solving and how is that benefiting you?**

Collaboration, consolidation of multiple tools into a single platform, version control, and the need for a tool to simply and clearly display data for non-technical audiences.

  ### 16. Great for sharing and collaborating, a bit frustrating for power users

**Rating:** 2.5/5.0 stars

**Reviewed by:** Jeff D. | Data Scientist, Mid-Market (51-1000 emp.)

**Reviewed Date:** January 28, 2025

**What do you like best about Hex?**

- Notebooks are very easy to share
- I feel like Hex works well in an environment where users have a mix of background with notebooks. It's just very easy to get up and running and collaborate
- This is probably the easiest/quickest tool I've used for generating dashboards and sharing it with broader teams

**What do you dislike about Hex?**

Hex isn't super great for power users e.g. those who've been using the Python ecosystem for years:
- You can not control the Python kernel  (the latest you can use is 3.10 which was released over 3 years ago...). Critical libraries like pandas/numpy are pinned to very old versions and you can not upgrade them
- The GUI editor for creating charts is great for business users and engineers who haven't spent 10+ years learning matplotlib 😂  but for someone who has, the whole plotting interface is quite limiting and adds a lot of bloat/latency to the notebook UI
- No plugin ecosystem like other notebook solutions. I miss being able to automatically lint/apply code formatters to my cells

**What problems is Hex solving and how is that benefiting you?**

Hex makes it easy to share data analysis with a wider audience. I actually prefer to use a local jupyter notebook for development because I find the core notebook experience much better. But I usually transfer over the work to Hex because for collaborating/sharing, Hex is much easier

  ### 17. Hex is the best commercial dashboarding + analysis tool I've used

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Internet | Enterprise (> 1000 emp.)

**Reviewed Date:** June 25, 2025

**What do you like best about Hex?**

- the blending of cell types (SQL, python, text, etc.) and how seamless it is to make use of dataframes in different cells
- how Hex refreshes the minimal number of cells after making a change
- how straightforward it is to go from analysis or prototyping in a notebook to creating a polished dash

**What do you dislike about Hex?**

- not being able to use both R and python in one notebook

**What problems is Hex solving and how is that benefiting you?**

I first prototype queries in the BigQuery console as it has better visibility into the tables I'm querying. Once queries are roughly ready, I bring them into Hex to continue cleaning up and understanding the data, then put together a notebook for analysis or a dash

  ### 18. Easy Analysis and Visualization, But Authentication Needs Improvement

**Rating:** 3.0/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.)

**Reviewed Date:** December 17, 2025

**What do you like best about Hex?**

The workbook nature of Hex is relatively convenient to work with and is easy to use for quick analysis. The visualization tooling is also relatively simple to use

**What do you dislike about Hex?**

The oauth support and credentialing experience is very frustrating and unintuitive, this is a constant pain point for my stakeholders/users and I have to frequently guide users through the authentication process.

**What problems is Hex solving and how is that benefiting you?**

BI tooling for data users

  ### 19. Hex is awesome

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Telecommunications | Mid-Market (51-1000 emp.)

**Reviewed Date:** April 10, 2025

**What do you like best about Hex?**

It's super quick to get a dashboard up and running. Very flexible as well, I am proficient in both Python and SQL, so I love the fact that I can switch between both easily in one place. The feature to be able to query dataframes, not just data connections is also a game changer.

I love the fact that we can fine tune our conditions for considering data stale, not just for the whole dashboard, but also for each individual cell/data in the dashboard. 

Also, re-usable components! So great.

The fair cost is also another huge point in your favor. I appreciate that I feel that our feedback is heard and not just filed in some black box never to be seen again. All in all, just a great experience and Hex is a company that I am proud to support.

**What do you dislike about Hex?**

Sometimes it can be difficult to figure out the scheduling/caching -- for example, in one of my apps, I can see that the report was run recently but when I re-run it, I get different results than the run that happened only 10 mins ago or whatever.

Sometimes sorting by a specific column breaks the report or adds more rows for some reason. There might be a flaw in my logic, I have not investigated too much but it seems weird that a table would return 50 rows then when sorting by date, the table grows to 100+ rows, even when the table is showing results directly from a SQL cell.

Pushing updates back to DB when using table inputs can be a bit complicated, but I am not sure this can be done easily anyway

**What problems is Hex solving and how is that benefiting you?**

We are able to quickly develop reports that enable us to understand patterns/trends which ultimately allow us to design data-informed systems/solutions.

  ### 20. Hex provides us speed by integrating seamlessly with our stack

**Rating:** 5.0/5.0 stars

**Reviewed by:** Matias W. | Machine Learning Manager, Small-Business (50 or fewer emp.)

**Reviewed Date:** April 22, 2025

**What do you like best about Hex?**

It integrates with our Snowflake platform, and let us quickly build applications and dashboards that are useful for all the company. The scheduled runs let us communicate metrics every day with our stakeholders.
It's also very fast to pick up by new users in the team, as every one can focus on their preferred language.
Setting schedules and alerts make it easy to develop new prototypes very fast. You can just query your data warehouse, write some code and add scheduled runs and alerting. As easy as that.

**What do you dislike about Hex?**

It can sometimes be slow, and consume a lot of memory.

**What problems is Hex solving and how is that benefiting you?**

Integrations and data sharing with the company

  ### 21. Excellent Notebook Functionality and Seamless Motherduck Integration

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Insurance | Small-Business (50 or fewer emp.)

**Reviewed Date:** November 25, 2025

**What do you like best about Hex?**

notebook functionality for EDA, connections to motherduck, being able to reference sql cell outputs, AI assistant

**What do you dislike about Hex?**

it can be hard to publish data to warehouse

**What problems is Hex solving and how is that benefiting you?**

quickly share insights without having to share jupyter notebooks

  ### 22. Hex Review

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Consulting | Mid-Market (51-1000 emp.)

**Reviewed Date:** September 10, 2025

**What do you like best about Hex?**

Hex is very useful as a notebook that allows you to incorporate multiple data languages. Very easy to connect to explore data with the data browser. Very easy to create apps.

**What do you dislike about Hex?**

Sometimes the Notebook Agent can't comprehend the context that I give to it and goes off track.

**What problems is Hex solving and how is that benefiting you?**

It's solving my need for a dedicated SQL and Python notebook that allows me to query on top of the database.

  ### 23. Game changer for our company, but need some more "boring" features

**Rating:** 3.5/5.0 stars

**Reviewed by:** Verified User in Higher Education | Mid-Market (51-1000 emp.)

**Reviewed Date:** March 13, 2025

**What do you like best about Hex?**

The notebook-app split is great. As a developer, I like working in the notebook and then being able to drag and drop. Being able to use Python plotting libraries to make plots for dashboards has been a welcome improvement compared to the previous dashboards we've been using.

**What do you dislike about Hex?**

For developers, Magic has not been useful at all. It is easier and more efficient for me to copy my problem into chatGPT.

That said, I would rather see more basic features get improved on in Hex rather than fixing Magic. This would include:

- Ability to add totals to pivot tables. This one is also a huge downside  for our stake holders
- More advanced conditional formatting in tables. I should be able to color a column based on the value in another column. This one is also a huge downside  for our stake holders
- Two way sliders, for users to input a maximum and minimum value more straightforwardly.

**What problems is Hex solving and how is that benefiting you?**

One place for data engineers and analysts to work. Build out flexible dashboards/reports for company.

  ### 24. A standout choice for teams seeking a streamlined environment for data analytics projects

**Rating:** 4.5/5.0 stars

**Reviewed by:** Maxine Q. | Data Scientist, Mid-Market (51-1000 emp.)

**Reviewed Date:** August 28, 2025

**What do you like best about Hex?**

1. Multi-Language Support.

2. Enhanced Collaboration.

3. Performance Improvements

**What do you dislike about Hex?**

1. Auto running of all the cells, it is confusing

**What problems is Hex solving and how is that benefiting you?**

1.Collaboration Bottlenecks
2.Onboarding and Usability Challenges

  ### 25. Agile Analytics Tool for Analysts and Data Professionals

**Rating:** 4.0/5.0 stars

**Reviewed by:** Michael L. | Senior Data Analyst, Mid-Market (51-1000 emp.)

**Reviewed Date:** July 15, 2025

**What do you like best about Hex?**

Notebook layout
Integrates R, Python code into analysis and data modeling work 
Visualizations

**What do you dislike about Hex?**

Level of visualization customizability
Visualizations can come out wonky when using R ggplot

**What problems is Hex solving and how is that benefiting you?**

Ability to collaborate with team members on analysis and investigations
Shareable analysis that is logically laid out

  ### 26. Solid flexible and adaptable data exploration and BI solution

**Rating:** 4.0/5.0 stars

**Reviewed by:** Snehal K. | sr manager data science, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 12, 2025

**What do you like best about Hex?**

It is an extension to notebook, but with solid BI elements. I love the magic feature as well, make me and my team quite effecient

**What do you dislike about Hex?**

Limited visualizations. While I love everything about HEX, but it lacks certain basic visualizations which other competing BI elements offers

**What problems is Hex solving and how is that benefiting you?**

serving as a primary bi solution for product
self serve tool for data exploration

  ### 27. Hex is the best BI tool for data scientists/analysts

**Rating:** 5.0/5.0 stars

**Reviewed by:** Kush P. | Data Scientist, Mid-Market (51-1000 emp.)

**Reviewed Date:** April 20, 2025

**What do you like best about Hex?**

Extremely flexible being able to switch back and forth with SQL and Python along with using a bunch of data sources from databases to CSVs.

**What do you dislike about Hex?**

Having large notebooks, it becomes hard navigating to the right code chunks. If code chunks are dependent on other cells, it becomes difficult to find.

**What problems is Hex solving and how is that benefiting you?**

Giving stakeholders across the businesses control over their business units. Being able to flag certain key metrics and work on improving them over time. Validating A/B tests with our backend data.

  ### 28. User-friendly experience with HEX

**Rating:** 5.0/5.0 stars

**Reviewed by:** Abhinav A. | Business Analyst, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 20, 2025

**What do you like best about Hex?**

Its multi-language coding platform is the best.
Visualization capabilities without having to install libraries.
HEX App is the most convenient and efficient way to create tools/dashboards that can be shared with non-technical folks, and it's scalable.

**What do you dislike about Hex?**

Visualization limitations
It can not create many forms of charts like a waterfall chart.
It fails to plot more than 10,000 points in a chart. this is a huge disadvantage.

**What problems is Hex solving and how is that benefiting you?**

Data integration is easy and knowledge barrier is not an issue anymore. It helps us in visualizing the performance of our product.

  ### 29. Hex is a great tool that I use every day for work!

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Mental Health Care | Mid-Market (51-1000 emp.)

**Reviewed Date:** February 11, 2025

**What do you like best about Hex?**

Hex is so helpful for visualizing data and translating complex data insights into easy to digest insights for non-technical stakeholders. I compare Hex to Looker a lot and I love the ability to dynamically construct queries to create visualizations that improve performance and run times.

I use Hex every single day and create 3-4 dashboards every 2 weeks for stakeholders. The Hex apps have been widely accepted by stakeholdes.

**What do you dislike about Hex?**

Hex does have some limitations. I recently came across a need to separate permissions for different users within a single app between tabs. I believe the current workaround is to embed individual cells into a separate application for visualization but if Hex could allow for different user access within a single app, that would be really great! It is kind of a niche use case but would definitely be appreciated.

**What problems is Hex solving and how is that benefiting you?**

I am a data analyst that supports the business side of our company and Hex helps me create effective and dynamic dashboards for stakeholders based on their needs. I enjoy using Hex because it is very flexible when it comes to manipulating data and presenting insights and visualizations. The latter effect is also valued by our stakeholders who have started to request Hex apps as ways to track team-level, department-level, and company-wide metrics.

  ### 30. Thoughts on HEX

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.)

**Reviewed Date:** February 07, 2025

**What do you like best about Hex?**

As a new user, I am still getting familiar with HEX and all of its features/functions. I like the sharing capabilites, it really assists with seamless collaboration. I appreciate the new outline feature to help me stay organized.

**What do you dislike about Hex?**

For me, the visualizations are a bit of a downside. I find myself constantly having to rewrite queries or use parameters (work arounds) to make simple visualizations or big number values that are really easy to do in Mode or Tableau. For instance, why not be able to add more series to y axis for grouped charts. For example, if I have 3 values I'm trying to show over time, my only option is to do one as a bar, one as a line, and can't do the other at all. And this is just for the left axis. If I want to do the combo, then I would have 2 lines and it wouldn't make sense and be confusing. Also, it would be helpful to add filters to visualizations where end users can't see them.

**What problems is Hex solving and how is that benefiting you?**

Hex is helping me evaluate business metrics and determine accruacy between sources.

  ### 31. Review from a Data Scientist who uses HEX daily

**Rating:** 3.0/5.0 stars

**Reviewed by:** Shagun K. | Senior Data Scientist, Mid-Market (51-1000 emp.)

**Reviewed Date:** November 23, 2024

**What do you like best about Hex?**

I love the always connected cluster and fast code execution in HEX, unlike databricks where I always have to connect the notebooks to cluster to run any code. I have interacted with customer support once and they were really helpful and easily available to help through Slack. I find coding and implementing a solution in both SQL and Python easy on HEX without much hassles. I am a data scientist at Upwork and use HEX almost daily to work on data science problems using Python and SQL. I find the intergation of HEX notebooks with other storage platform like S3 bucket straight forward.

**What do you dislike about Hex?**

I miss the ease of deploying any notebook as a pipeline and schedule it in form of a workflow in HEX.

**What problems is Hex solving and how is that benefiting you?**

I am a Data Scientist at Upwork and use HEX as a primary platform to code and implement any business solution using data science involving SQL and Python code. I primarily use notebooks and have successfully built Customer Lifetime Value Model and Marketing Mix Modeling using HEX and have deployed the batch predictions using S3 and scheduler. I really like the simplicity of HEX notebooks and being able to quickly create a visualization for any column in SQL table. I have used Databricks in the past, no doubt it is a much more feature rich platform than HEX but I did not use many of its complex features for my daily work and would always think of some product which is simpler and faster to use and catered to the data science work, HEX comes to the rescue here. One thing which I wish HEX improves is maintaining the folder and file structure in a better way, I do not like the unconventional terminology used here like collections and projects and miss the simple folder and file structure which is more flexible to use and share with others.

  ### 32. Flexible and Easily Shareable Tool

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.)

**Reviewed Date:** December 17, 2025

**What do you like best about Hex?**

Flexibility and share-ability of the tool

**What do you dislike about Hex?**

Search and Find features are limited. When changing dimension names need to do it individually

**What problems is Hex solving and how is that benefiting you?**

Building complex dashboards for my stakeholders that are easily customizable and shareable

  ### 33. Hex for Data Science

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Sporting Goods | Mid-Market (51-1000 emp.)

**Reviewed Date:** February 05, 2025

**What do you like best about Hex?**

It's very clear that the developers and product team at Hex have interviewed a ton of data professionals and are making a really great tool. The recent addition of Sections is proof of that, the amount I had to scroll through my longer notebooks was 100% my biggest complaint. Compoments and other features like that add a ton of flexibility to hex, and the customer support has always been helpful whenever I've needed it.

**What do you dislike about Hex?**

I still struggle with extremely large datasets in hex - being able to return sql cells as queries and other workarounds like that certainly help, but when returning the data as a pandas dataframe things get bogged down very quickly once there are more than 1 mil rows in play. My other complaint is that the charts are not the easiest to use - if I want to very quickly visualize a bunch of different slices of data I will frequently turn to another tool and then return to hex once that step of my process is done. Other than that there are just weird little bugs sometimes, like the order by clause in a sql statement not reliably returning results in the requested order.

**What problems is Hex solving and how is that benefiting you?**

quick developement of forecasting/predictive algorithms in a way that is repeatable by the rest of my team
controlled "dummy pipelines" to test out new models before they get added to our analytics engineering stack

  ### 34. Perfect workflow for communicating with data

**Rating:** 5.0/5.0 stars

**Reviewed by:** Brian T. | Principal data scientist, Small-Business (50 or fewer emp.)

**Reviewed Date:** June 06, 2025

**What do you like best about Hex?**

Hex takes everything that made Jupyter a comfortable environment for me and let me leverage that to create data exploration tools that everyone on my team could use.

**What do you dislike about Hex?**

The pricing for their embedding feature is disqualifying. Fortunately, we don’t need it.

**What problems is Hex solving and how is that benefiting you?**

Exposing internal data science and analytic tools to the broad team.

  ### 35. Hex - First Class Product for Data Visualization and Collaboration

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.)

**Reviewed Date:** January 30, 2025

**What do you like best about Hex?**

The notebook experience in Hex is unmatched when compared to other data visualization tools in same class (e.g. Mode, Tableau, and Hex). This is especially true for users that are comfortable with code e.g. Python, SQL, and R. Additionally, Hex integrates well with the most common data warehouse types e.g. Snowflake, Clickhouse etc. The native charts are also very helpful and generally Hex appears to prioritize support for visualization libraries in Python which helps to cover use cases outside of what is available in native Hex charts.

**What do you dislike about Hex?**

The only item that keeps me from giving Hex a perfect 10 score is that my experience with customer support has never been really been great. I'm not exactly sure why, but Hex customer support always takes a while to respond and when I do get a response it typically isn't very helpful. I suspect that the customer support team doesn't have great visbility into the issues facing customers, but I am unsure.

That being said, other less significant issues I've run into are: 

1) Attempting to use GPUs on Hex. My team tried to use a GPU instance but frankly was unable to due to issues with package / library management. Honestly though, GPU instances feel a bit odd on Hex to begin with, and there are many other service providers I would rather use for development on GPUs.

2) Hex Magic does not work well at all. I personally don't have a strong need for an embedded LLM / AI into my Hex notebooks, but any time I've actually tried to the Hex Magic feature it often underperforms when compared to base ChatGPT. This is coming from someone who uses LLM / AI regularly and also develops applications that leverage LLM / AI. I suspect something is off with the underlying evaluation approach / pipeline. A good Hex Magic experience would feel like using Cursor, where the model understands the full context of the project.

**What problems is Hex solving and how is that benefiting you?**

Hex allows my team to quickly develop and iterate on data analytics and visualization projects. Additionally, because Hex is a notebook and web-based platform, it allows my team to collaborate on data science projects. Being able to share and publish notebooks is also very important because this also helps facilitate collaboration with teams outside of data science / data engineering.

  ### 36. Really good notebook, much better than jupyter

**Rating:** 5.0/5.0 stars

**Reviewed by:** Kelly D. | Growth Strategy, Small-Business (50 or fewer emp.)

**Reviewed Date:** September 15, 2025

**What do you like best about Hex?**

Easy to use, lots of functionality, and really robust

**What do you dislike about Hex?**

It could be a bit more slick in design but otherwise there are no issues

**What problems is Hex solving and how is that benefiting you?**

Helps me query data from our various databases easily and also create visualizations

  ### 37. New grad data scientist first time using Hex

**Rating:** 3.5/5.0 stars

**Reviewed by:** Verified User in Design | Enterprise (> 1000 emp.)

**Reviewed Date:** May 20, 2025

**What do you like best about Hex?**

The "add cells with Magic" function is extremely powerful, the AI here generates highly accurate query and helped save a lot of time when it comes to writing simple query. The visualization tool is also amazing! I have previously used visualization tool on databricks, but I do think Hex's visualization tool in the notebook is easier to navigate and use.

**What do you dislike about Hex?**

When we reference the query with a new name, let's say from dataframe1 -> temp, the subsequent line that uses the initial dataframe1 to make chart will break.

**What problems is Hex solving and how is that benefiting you?**

Understanding user behavior and monetization metrics

  ### 38. Great tool for data analysis

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Mental Health Care | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 18, 2025

**What do you like best about Hex?**

I love the flexibility of being able to work within a notebook, share with others, combine SQL/Python, and have built-in visualization capabilities. The AI features can also be helpful but I expect those to improve.

**What do you dislike about Hex?**

Some of the pre-built visualizations lack customization, and formatting things within the app builder can feel difficult.

**What problems is Hex solving and how is that benefiting you?**

I am able to do analysis, visualization, and data storytelling all in one tool. I can easily share that with stakeholders and collaborate with teammates.

  ### 39. A modern data workspace that actually gets it right

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.)

**Reviewed Date:** July 29, 2025

**What do you like best about Hex?**

Collaboration feels natural - there ia a live commenting, version history, and branching mean teams can genuinely work together.

**What do you dislike about Hex?**

Limited offline support - since it is a fully cloud-based, you may find it annoying if you need offline access. Other than that, I'm all good.

**What problems is Hex solving and how is that benefiting you?**

Slow Analytic Workflow - it unufied workspace like SQL+Python+visualization. Plus, with the live collaboration, you don't need to export/share notebooks. 
Inaccessible or Confusing Data Insights - it turns my notebooks into interactive apps with filter, inputs, and dropdowns. It empowers our team to self-serve insights without risking data integrity.

  ### 40. Great Live Sharing and Reference for Jupyter Notebooks

**Rating:** 4.0/5.0 stars

**Reviewed by:** Kyle H. | Staff Data Scientist, Mid-Market (51-1000 emp.)

**Reviewed Date:** May 01, 2025

**What do you like best about Hex?**

Ease of later reference and spinning up an old notebook with environment control.

**What do you dislike about Hex?**

Sometimes when the notebooks crash it can be hard to track down exactly why to uncover and resolve the issue.

**What problems is Hex solving and how is that benefiting you?**

It enables sharing and reference of analyses between and across team members. Really great as a Knowledge Repository which we replaced our KR for using HeX.

  ### 41. Excellent, so useful to have the AI magic tool for both Python and SQL

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Insurance | Enterprise (> 1000 emp.)

**Reviewed Date:** October 02, 2025

**What do you like best about Hex?**

The easy to use interface and the AI magic tool

**What do you dislike about Hex?**

The visuals on the dashboard don't look as nice as tableau

**What problems is Hex solving and how is that benefiting you?**

Solving complex business problems enabling us to use Hex for forecasting. It also allows us to slice and dice large data sets and present this in a dashboard that the end user can use.

  ### 42. An excellent alternative

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.)

**Reviewed Date:** July 31, 2025

**What do you like best about Hex?**

It is a very intuitive and easy-to-use platform.

**What do you dislike about Hex?**

I don't find a disadvantage, however, AI Magic still has areas of improvement, sometimes when correcting a code it doesn't do it correctly.

**What problems is Hex solving and how is that benefiting you?**

It helps me analyze very large databases and build reports that are useful for the company.

  ### 43. Robust flexible platform for visualizations and analytics

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Retail | Small-Business (50 or fewer emp.)

**Reviewed Date:** May 16, 2025

**What do you like best about Hex?**

Hex is easy to use.  Going from data to blending to visualizations to dissemination was intuitive and fast. Great value and customer service as well!

**What do you dislike about Hex?**

I’d like to see more customization capabilities in charts.  Also, would  like to see more pdf printing options (enable branding, print all tabs, etc).  Furthermore,  would be nice to allow the output of data blending steps be shared across dashboards (this would else reduce rework as well as assist with governance)

**What problems is Hex solving and how is that benefiting you?**

Automation of reporting, dissemination of dashboards (KPIs, insights)

  ### 44. Great for Data Analytics sharing with team/PM

**Rating:** 4.5/5.0 stars

**Reviewed by:** Joshua A. | Data scientist, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 30, 2025

**What do you like best about Hex?**

I love how I can keep code and app seperate. My PM does not need to see the code but other analysts on my team do. It lets me submit two versions to different stakeholders

**What do you dislike about Hex?**

Sometimes I have run into caching issues when I’m pulling from snowflake.

**What problems is Hex solving and how is that benefiting you?**

Lots of business problems to do with ad metrics and analytics. Inventory, pricing, etc

  ### 45. Hex is a surprisingly good way to quickly spin up Snowflake-powered LLM apps

**Rating:** 4.5/5.0 stars

**Reviewed by:** Scott F. | Machine Learning Research Scientist, Mid-Market (51-1000 emp.)

**Reviewed Date:** October 14, 2024

**What do you like best about Hex?**

I love that Hex provides the ability to seamlessly integrate data from Snowflake into a jupyter notebook-like IDE so I can quickly spin up demo apps to share with other people that are always up-to-date with our database. Also the ability to schedule runs is very convenient.

**What do you dislike about Hex?**

Importing packages from our own private GitHub repo and pulling in packages from pip is fine, but it's not always as seamless as I would like. Also, the packages that are available by default aren't always up-to-date (tiktoken, as an example). It'd be nice if there were some other way to seamlessly specify which packages and which package versions you want included in your app.

**What problems is Hex solving and how is that benefiting you?**

I love that I can include my OpenAI API Key as a project secret and then quickly spin up an app to demonstrate a data-powered LLM prototype. Users input an ID and I take that ID to pull in relevant data from Snowflake, pack that data into the prompt, and pass it into the LLM. This has allowed me (as a machine learning research scientist) to iterate seamlessly with our product team and has led to some really exciting products.

  ### 46. Favorite Analytics Tool

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Hospital & Health Care | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 17, 2025

**What do you like best about Hex?**

Hex is plug and play once you have your connections set up. I don't have to worry about starting jupyter kernels or running scripts. Nearly seamlessly work between python and SQL.

**What do you dislike about Hex?**

Sometimes going from SQL-->Python and vice versa gets a little annoying because of the automatic capitalization and case sensitivity.

**What problems is Hex solving and how is that benefiting you?**

Easily pull data from snowflake and manipulate in Python things that aren't possible in SQL

  ### 47. Easy to Use

**Rating:** 4.5/5.0 stars

**Reviewed by:** Smitha P. | Data Scientist, Mid-Market (51-1000 emp.)

**Reviewed Date:** April 28, 2025

**What do you like best about Hex?**

I love being able to use SQL and Python in one space. The App view is really helpful for partners to use.

**What do you dislike about Hex?**

I wish it had better dashboarding functionality to be able to replace Looker.

**What problems is Hex solving and how is that benefiting you?**

Hex helps me do analyses on A/B experiments and deep dive research as a data scientist.

  ### 48. Hex for beginners - time to level up!

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Marketing and Advertising | Enterprise (> 1000 emp.)

**Reviewed Date:** May 27, 2025

**What do you like best about Hex?**

Hex Magic is one of the most transformative tools I have had as a beginner learning SQL. It makes it easy and fast to get work done.

**What do you dislike about Hex?**

Hex is not great for large scale visualization tools to be used across the organization

**What problems is Hex solving and how is that benefiting you?**

Hex solves the problems of connecting data for quick turnaround of analyses. I can get an analysis done in a day that would previously require multiple teams and multiple days of work.

  ### 49. Great tool for dashboarding, quick data manipulation and finding insights

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.)

**Reviewed Date:** July 09, 2025

**What do you like best about Hex?**

The immense number of features including creating pivots on the live data, using multiple coding languages in a single instance and the dashboarding capabilities.

**What do you dislike about Hex?**

It sometimes crashes when handling huge amount of data.

**What problems is Hex solving and how is that benefiting you?**

Analytics, visualisation has been integrated in this tool which solves various purposes at a single location for us.

  ### 50. Pretty darn happy.

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Medical Practice | Mid-Market (51-1000 emp.)

**Reviewed Date:** April 10, 2025

**What do you like best about Hex?**

The ability to easily mix Python and SQL. We've been able to create solutions for all kinds of problems that I wouldn't have expected to be able to do from our BI tool.

The search system for pages is also great.

**What do you dislike about Hex?**

I haven't found any of the AI to be helpful, when it's enabled it's more of an annoyance than anything else.

I wish there were more options for being able to organize reports— like having folders within folders.

**What problems is Hex solving and how is that benefiting you?**

Hex is creating easy access to data for our team,


## Hex Discussions
  - [What is Hex Technologies used for?](https://www.g2.com/discussions/what-is-hex-technologies-used-for)

- [View Hex pricing details and edition comparison](https://www.g2.com/products/hex-tech-hex/reviews?page=4&section=pricing&secure%5Bexpires_at%5D=2026-07-17+01%3A38%3A37+-0500&secure%5Bsession_id%5D=9743ed39-be18-4352-9020-7cdc7845d4c7&secure%5Btoken%5D=b6b96a31e3f0ce2f933282ae99db92847ee9bf5d22cc97377ce49233a9641640&format=llm_user)
## Hex Integrations
  - [Agentforce Sales (formerly Salesforce Sales Cloud)](https://www.g2.com/products/agentforce-sales-formerly-salesforce-sales-cloud/reviews)
  - [Amazon Athena](https://www.g2.com/products/amazon-athena/reviews)
  - [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews)
  - [Amplitude Analytics](https://www.g2.com/products/amplitude-analytics/reviews)
  - [Claude Code](https://www.g2.com/products/anthropic-claude-code/reviews)
  - [Cursor](https://www.g2.com/products/cursor/reviews)
  - [dbt](https://www.g2.com/products/dbt/reviews)
  - [Gemini Enterprise](https://www.g2.com/products/google-gemini-enterprise/reviews)
  - [GitHub](https://www.g2.com/products/github/reviews)
  - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews)
  - [Google Workspace](https://www.g2.com/products/google-workspace/reviews)
  - [GPT for Work](https://www.g2.com/products/gpt-for-work/reviews)
  - [HubSpot Marketing Hub](https://www.g2.com/products/hubspot-marketing-hub/reviews)
  - [Jira](https://www.g2.com/products/jira/reviews)
  - [Looker](https://www.g2.com/products/looker/reviews)
  - [Mailgun](https://www.g2.com/products/mailgun/reviews)
  - [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews)
  - [MotherDuck](https://www.g2.com/products/motherduck/reviews)
  - [Notion](https://www.g2.com/products/notion/reviews)
  - [PostgreSQL](https://www.g2.com/products/postgresql/reviews)
  - [Retool](https://www.g2.com/products/retool/reviews)
  - [Slack](https://www.g2.com/products/slack/reviews)
  - [Snowflake](https://www.g2.com/products/snowflake/reviews)
  - [Supabase](https://www.g2.com/products/supabase-supabase/reviews)
  - [Typeform](https://www.g2.com/products/typeform/reviews)
  - [Zapier](https://www.g2.com/products/zapier/reviews)

## Hex Features
**Reports**
- Reports Interface
- Steps to Answer
- Graphs and Charts
- Score Cards
- Dashboards

**Functionality **
- Ease of Use
- File Management
- Multi-Language Support
- Customization
- Straight-Out-the-Box Functionality
- Help Guides
- Patching & Updates

**System**
- Data Ingestion & Wrangling

**Data Preparation**
- Connectors

**Data Connectivity and Prep - Agentic Analytics**
- Data Source Connectivity
- Automated Data Preparation

**Model Development**
- Language Support
- Drag and Drop
- Pre-Built Algorithms
- Model Training

**Model Development**
- Feature Engineering

**Data Modeling and Blending**
- Data Querying
- Data Filtering
- Data Blending

**Autonomous Insight Generation - Agentic Analytics**
- Continuous Pattern Detection
- Multi‑Step Reasoning
- Predictive & Prescriptive Analytics

**Machine/Deep Learning Services**
- Computer Vision
- Natural Language Processing
- Natural Language Generation
- Artificial Neural Networks

**Machine/Deep Learning Services**
- Natural Language Understanding
- Deep Learning

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Interaction and Workflow - Agentic Analytics**
- Natural Language Query and Conversational Analytics
- Action Triggering & Workflow Orchestration
- Explainability & Audit Trails

**Deployment**
- Managed Service
- Application
- Scalability

**Agentic AI - Analytics Platforms**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Natural Language Interaction
- Proactive Assistance
- Decision Making

**AI Agent Management - Agentic Analytics**
- Agent Configuration & Goals
- Continuous Learning & Feedback

**Self Service **
- Calculated Fields
- Data Column Filtering
- Data Discovery
- Search
- Collaboration / Workflow
- Automodeling

**Generative AI**
- AI Text Generation
- AI Text Summarization
- AI Text-to-Image

**Deployment & Integration - Analytics Platforms**
- No-code Dashboard Builder
- Report Scheduling and Automation
- Embedded Analytics and White-labeling
- Data Source Connectivity

**Advanced Analytics**
- Predictive Analytics
- Data Visualization
- Big Data Services

**Agentic AI - Data Science and Machine Learning Platforms**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Natural Language Interaction
- Proactive Assistance
- Decision Making

**Performance & Scalability - Analytics Platforms**
- Large data handling and Query Speed
- Concurrent User Support

**Advanced Analytics & Modeling - Analytics Platforms**
- Data Modeling and Governance
- Notebook and Script Integration
- Built-in Predictive and Statistical Models

**Agentic AI Capabilities - Analytics Platforms**
- Auto-generated Insights and Narratives
- Natural Language Queries
- Proactive KPI Monitoring and Alerts
- AI Agents for Analytical Follow-ups

**Personalized Intelligence - Analytics Platforms**
- Behavioral Learning for Contextual Query Refinement
- Role-based Insight Personalization
- Conversational and Prompt-based Analytics

**Building Reports**
- Data Transformation
- Data Modeling
- WYSIWYG Report Design
- Integration APIs

**Platform**
- Mobile User Support
- Customization 
- User, Role, and Access Management
- Internationalization
- Sandbox / Test Environments
- Performance and Reliability
- Breadth of Partner Applications

## Top Hex Alternatives
  - [Tableau](https://www.g2.com/products/tableau/reviews) - 4.4/5.0 (3,664 reviews)
  - [Mode](https://www.g2.com/products/mode-mode/reviews) - 4.5/5.0 (319 reviews)
  - [Deepnote](https://www.g2.com/products/deepnote/reviews) - 4.5/5.0 (379 reviews)

