---
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: '2026-07-12'
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 \> https://app.hex.tech/signup?source=g2 Get a demo \> https://hex.tech/request-a-demo/?source=g2



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

- Users commend the **ease of use** in Hex, appreciating its seamless data integration and user-friendly setup. (114 reviews)
- Users love the **s seamless integration of SQL and Python** , enhancing their analytical workflows effortlessly. (73 reviews)
- Users highlight the **seamless data management** capabilities of Hex, enhancing collaboration and integration with multiple databases. (69 reviews)
- Users appreciate the **effortless SQL and Python integration** in Hex, enhancing their data analysis experience significantly. (66 reviews)
- Users appreciate the **seamless data analysis capabilities** of Hex, enabling complex tasks with interactive, user-friendly tools. (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 highlight the **limited features** of Hex, noting restrictions in editing capabilities and dashboard functionalities. (43 reviews)
- Users find the **missing features** in Hex frustrating, particularly the lack of saved results and inadequate visualizations. (39 reviews)
- Users find Hex **lacking essential features** , particularly in dashboarding and advanced data manipulation capabilities. (35 reviews)
- Users often experience **slow performance** with Hex, including crashes and limitations in computational capacity. (28 reviews)
- Users face **data management issues** with Hex, including failed runs and unhelpful customer support for troubleshooting. (27 reviews)
- Users find Hex's **limited visualization capabilities** frustrating due to data size restrictions and inadequate filtering options. (26 reviews)
- Users find Hex'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. Enhanced Visibility and Integration with Hex

**Rating:** 5.0/5.0 stars

**Reviewed by:** Alex G.

**Reviewed Date:** January 10, 2026

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

I use Hex for understanding revenue, costs, capacity use, and reliability of our infrastructure. I appreciate how it makes it way easier to get visibility into what's going on and to share insights between technical and non-technical parties. It's like a lingua franca for working with finance. I really like the ease of integration with BigQuery and the overall look and feel of the dashboards it creates. It's easier for me to use Hex to query BigQuery than using BigQuery's own UIs. The initial setup of Hex was also very easy.

**What do you dislike about Hex?**

There are a few things: 1. The autocomplete is still really bad for Python. 2. Better inline views of tables, etc to guide me in creating queries. 3. I'd love to have some more chart types to play with. 4. There should be better support for blending different time series into the same plot without creating additional dataframes and hacking it the hard way. For example, blending a revenue query with a cost query is actually kind of hard.

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

I use Hex for understanding revenue, costs, capacity use, and reliability. It simplifies visibility, sharing insights between technical and non-technical parties, and serves as a common language for finance.

  ### 2. Great for Data Analysis, Improvable in Charts

**Rating:** 4.0/5.0 stars

**Reviewed by:** Andrea M.

**Reviewed Date:** January 09, 2026

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

I like the organization of the notebook in Hex, clean and tidy thanks to the ability to rename everything, and I find it easy to update using the search tool. I appreciate the ability to comment, which allows me to ask for feedback on charts directly. I find the integrated AI very useful for solving errors by providing context, for performing extractions with great accuracy and Python code. Additionally, the ability to give personalized instructions is an advantage, as Hex is able to correctly filter the various tables based on the requests made.

**What do you dislike about Hex?**

The default charts of Hex are limited and lack important features. They are not very interactive once published in a dashboard, and the axis names cannot be parameterized with input. The collections function is unclear and lacks a system of folders and subfolders, making it difficult for stakeholders to find the dashboards and analyses of their interest. The settings for publishing a notebook are unclear regarding the use of the cache. The graph mode of the notebook is interesting but currently confusing and does not help in understanding the organization.

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

I use Hex for the clean organization of notebooks with the ability to rename everything, ease of sharing, and customization. I like the commenting feature, the integrated AI for solving errors, and the accuracy in extractions.

  ### 3. AI-Powered Data Analytics Game-Changer

**Rating:** 4.5/5.0 stars

**Reviewed by:** Riccardo P.

**Reviewed Date:** January 08, 2026

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

I love how Hex's AI agent keeps improving with every release, really empowering my job through brainstorming, code building for SQL or Python, and general debugging. It's pretty smart and handles notebook cells, such as deletion, creation, input, and filters, effectively builds apps on its own, and significantly speeds up the delivery of data apps. I use Hex for data analytics, developing data apps, sharing notebooks with colleagues, and cooperating with fellow data analysts. The integration with Slack for notifications and the ability to attach graphs in Notion smartpapers are also valuable.

**What do you dislike about Hex?**

I don't like the repetitive clicks for formatting metrics and repetitive specifications to prompt the AI agent. Also, the repetitive cell creations just for adding text in the app builder are tedious. The notification system should be more flexible about the conditions to trigger alerts, not limited to when a dataframe reaches a certain amount of rows. Initially, using Kjingas grammar for dynamic filters was not straightforward, and it was unclear how to feed SQL codes stored in strings from other dataframes.

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

I use Hex for data analytics and developing data apps, which helps with dashboard management and responding to quick data questions from stakeholders. It enhances collaboration with fellow analysts and integrates with Slack for notifications.

  ### 4. Efficient Low-Code Platform with Easy Setup

**Rating:** 4.0/5.0 stars

**Reviewed by:** Bennett G. | Operations Associate, Mid-Market (51-1000 emp.)

**Reviewed Date:** February 26, 2026

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

I really like how easy Hex is to use. They have a lot of prebuilt components that require less customization, which makes it more straightforward. I also enjoy being able to query from other data frames that you can produce within Hex. It's self-referential and allows for efficient data manipulation.

**What do you dislike about Hex?**

Hex has released a couple updates that have broken some of my setups because some logic that previously worked no longer works within the new update. It's a bit frustrating having to go back and update every single one of my setups when one of those updates happens.

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

Hex allows me to build freestanding tools using their low-code software, which I wouldn't be able to make otherwise without having an engineer build it for me.

  ### 5. Effortless Data Visualization with Quick AI Insights

**Rating:** 4.5/5.0 stars

**Reviewed by:** Reign M. | General Operations Officer, Mid-Market (51-1000 emp.)

**Reviewed Date:** March 26, 2026

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

I like Hex for its ease of use and quick response to my queries. I also appreciate the AI agent which creates charts and queries automatically, saving me a lot of time and effort in terms of data analysis. The initial setup of Hex was quite simple.

**What do you dislike about Hex?**

When it runs heavy queries, it gives up then and there instead of offering a solution such as narrowing down the query to a certain cohort, limiting the output enough for a solid sample, etc.

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

I find Hex makes pulling data and creating visualizations easy and helps analyze root causes of data anomalies. The AI agent saves time by creating charts and queries automatically.

  ### 6. Empowers Data Science with Ease and AI Prowess

**Rating:** 4.5/5.0 stars

**Reviewed by:** Daron P.

**Reviewed Date:** January 05, 2026

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

I use Hex for executing data science and analytics tasks, like creating internal-facing dashboards and running ETL processes. I find it very easy to access Snowflake data and like the ability to switch between SQL and Python to complete complex tasks. Creating dashboards is particularly simple, and I love the ease of creating parameterized workflows. My two favorite features are the ease of dashboard creation and the fantastic AI tool. The AI tool stands out because it views the entire codebase, understands what I'm trying to accomplish, and does a great job of writing its own code or fixing errors. Setting up Hex was very easy, which is one of my favorite parts because it makes sharing notebooks and components with my teammates super easy. I can also see the source code for dashboards very easily, which I really enjoy.

**What do you dislike about Hex?**

I feel there is a data engineering component that could be improved. I would LOVE to see an ability to run workflows that save files into a Hex filesystem that would make files accessible across other projects. One thing I've been struggling with is using components that involve complex queries in dashboards with live filters because by making one change it re-executes the entire component. Ideally, I'd like to have some workflows that run the component code daily, save out a CSV file, then my dashboard accesses that CSV file so it doesn't waste compute and improve dashboard speed and end user experience. It's not easy for data scientists to get access to Snowflake to create temporary tables, so having some kind of HDFS setup would be great to allow us to easily quick and dirty save out files for re-use within Hex or download for using in other setups.

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

I use Hex to easily execute data science tasks, access Snowflake data, switch between SQL and Python, and create dashboards. Its AI tool reviews my codebase, fixes errors, and writes code, enhancing workflows. Dashboard creation is seamless and efficient.

  ### 7. Hex Feels Like a True Data Partner for Business Outcomes

**Rating:** 5.0/5.0 stars

**Reviewed by:** Guido V. | Senior Product Manager, Mid-Market (51-1000 emp.)

**Reviewed Date:** March 09, 2026

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

Everything. I feel like Hex has been the data partner that helps me better understand my business outcomes and clarify the next goals I want to build toward. What's also great: you chat, Hex provides! Super easy to use, and has become my sidekick using it several times a day.

**What do you dislike about Hex?**

Nothing so far! Hex has even pointed out small gaps in the data tables and shown that what looked like hallucinations weren’t really that, but rather data opportunities to improve.

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

Getting instant feedback on key business questions is a huge win for me. I also love that the data in the dashboards auto-refreshes—FTW. And the threads make it easy to follow up on insights and keep the conversation moving.

  ### 8. Versatility and Ease in KPI Analysis

**Rating:** 4.5/5.0 stars

**Reviewed by:** Alonso A. | Staff Data Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** March 13, 2026

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

I like the versatility that Hex offers by combining Python and SQL with the context of the data warehouse and the agent. I also appreciate the discoverability of insights and data. Development in notebook mode is simple and increasingly clear with the sections and the filter component. Additionally, lately, the agent has surprised me with its good performance. The initial setup of Hex was very simple and comes with good documentation.

**What do you dislike about Hex?**

The slowness sometimes in some dashboards, it would be good to advise on how to better develop the notebook to optimize it in terms of speed.

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

Hex solves problems such as answering natural language questions about metrics, tracking basic KPIs, and creating tools for other teams with data.

  ### 9. Intuitive Data Analysis with Room for Improvement

**Rating:** 4.0/5.0 stars

**Reviewed by:** Jake N.

**Reviewed Date:** January 17, 2026

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

I like that Hex is generally pretty easy to use and rerun once I make updates to previously generated sections of a dashboard. The things that I know how to do with Hex are pretty intuitive.

**What do you dislike about Hex?**

There are some things that just don't feel super intuitive. I wish it was easier to just query from something that I utilize quite frequently. Finding things within a similar structure or source could be a huge improvement because oftentimes, I find it hard to just do basic things that I do all the time. You have to create the right kind of module or query from the right data source.

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

I use Hex to generate reports and SQL queries across multiple data sources, which I share with my team for data analysis. It helps me track project success by analyzing feature utilization using Snowflake integration.

  ### 10. Efficient Data Analysis with Room for Improvement

**Rating:** 3.5/5.0 stars

**Reviewed by:** Adam S. | Mid-Market (51-1000 emp.)

**Reviewed Date:** February 24, 2026

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

I like the AI features in Hex because they let me get answers without having to put in much SQL, which speeds up my work and my team's work. These features also allow the rest of the team, who don't know SQL, to dive into the data in-depth.

**What do you dislike about Hex?**

I would love more customizability for Hex editors. A lot of our users aren't editors, and they can't really optimize their space or edit how they would like. I also want more for the data analytics side. I find workbooks get pretty messy pretty quickly, and I'd love better organization.

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

I use Hex for deeper data discovery, enabling in-depth analysis without extensive SQL. It speeds up our work and allows non-SQL users to explore data.

  ### 11. Versatile and User-Friendly Data Tool

**Rating:** 4.5/5.0 stars

**Reviewed by:** Gerardo C.

**Reviewed Date:** January 30, 2026

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

I like the flexibility of Hex, especially how I can create queries or use a notebook to write Python code if necessary. The ability to have different sections to organize my work and create queries from already created outputs is very useful. The initial setup as a user was very easy, as I could just log in and access all the tables in my data warehouse to query from.

**What do you dislike about Hex?**

I think there's opportunity for improvement in uploading data. It should be easier to upload data files to work with. I would also like more flexibility with pivot tables. It doesn't seem like I can do a few things to personalize the pivot table as much as I'd like.

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

Hex makes data accessible for everyone and helps us share reports and dashboards easily with different stakeholders.

  ### 12. Clear Language In, Smart Queries and Insightful Analysis Out

**Rating:** 4.5/5.0 stars

**Reviewed by:** Cesar S. | Product Strategy, Mid-Market (51-1000 emp.)

**Reviewed Date:** March 30, 2026

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

Using clear, common language, the AI interprets the instructions and carries out the most appropriate information query based on the context provided. It then analyzes the results and offers additional insights.

**What do you dislike about Hex?**

Because multiple users can freely query the same definition, it’s common to encounter discrepancies in the data.

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

It significantly improves my ability to conduct portfolio analysis, cross-reference variables, perform segmentations, and produce ad hoc reports when needed.

  ### 13. Comprehensive Features, Fast Product Development

**Rating:** 5.0/5.0 stars

**Reviewed by:** Kristen B. | Staff Data Scientist

**Reviewed Date:** December 29, 2025

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

I like that Hex gives you everything in one place: data connection & exploration, code editor, AI agent, ability to publish apps, and schedule runs. Plus, it seems like every time I wish Hex fixed something or added support for a new feature, it gets done before I even asked them to do it. Hex moves fast with their product innovation! I also like the Google Drive connection interface. This has been handy when building internal tools that need to write output to somewhere that non-technical users can access. I also like the customer support chat.

**What do you dislike about Hex?**

The Slack integration for the Hex agent doesn't yet have enough controls for our organization because we need to manage data privacy and restrict who can read the results of different queries based on what region they are in. Because of this, we continue to use a tool our team built internally for our own data Slack bot instead of the new Hex one. We have also explored Hex's embedded analytics offerings but found that it's not quite mature enough for our requirements. Hex's embedded analytics bills per API call instead of per unique user, which is very expensive based on our setup where a user may need to access many different reports, and most other embedded analytics vendors are billing per distinct user per month. Also, the permissions and sharing controls are not as mature.

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

I use Hex for building internal tools, handling billing updates, processing call transcripts, and auditing payroll. It simplifies setting up notebooks for testing and debugging DBT projects, offering explanations and SQL codes through its AI agent, enhancing our workflows significantly.

  ### 14. Amazing Tool for Data Exploration & Collaboration, But Chart Options Could Improve

**Rating:** 3.5/5.0 stars

**Reviewed by:** Wendy G. | Data Science, Small-Business (50 or fewer emp.)

**Reviewed Date:** December 25, 2025

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

It's a great tool for data scientists. Very easy and intuitive to use and the chart functionality makes data exploration super fast. Integration with our cloud warehouse has also significantly reduced data engineering burden. I use it everyday for work and even my coworkers who aren't technical are able to use Hex with the AI assistant.

**What do you dislike about Hex?**

Chart options are a bit limited, but the main ones are still there. Also some of the custom measures/dimensions functions in Looker such as row totals, etc.

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

This platform delivers a full range of end-to-end data capabilities and significantly streamlines daily data science tasks. It's a great platform for collaboration within DS teams and cross-functional stakeholders.

  ### 15. Empowers Detailed Customer Segmentation

**Rating:** 4.0/5.0 stars

**Reviewed by:** alex d. | sr growth associate, Mid-Market (51-1000 emp.)

**Reviewed Date:** February 23, 2026

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

I like how Hex allows me to use SQL and Python to query our databases. I also appreciate that I can use Hex AI to help me write different queries across projects. It enables me to segment referral behavior in a very granular way for various campaigns, like direct mail and email, which isn't something easily done with our BI tool.

**What do you dislike about Hex?**

Sometimes the Hex AI feature takes a long time, and it doesn't seem as good as Clock Code or some other features.

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

Hex helps me segment referral behavior in a granular way for campaigns. I can use SQL, Python, and Hex AI for queries, which aren't possible with our BI tool. I sometimes export data directly to Google Sheets.

  ### 16. Empowers Data Access with Natural Language, Despite Usage Limitations

**Rating:** 3.5/5.0 stars

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

**Reviewed Date:** June 15, 2026

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

I really appreciate the Thread agent feature in Hex. It makes it easy for me to describe what I want in natural language and allows my teammates who don't know SQL to access data effortlessly.

**What do you dislike about Hex?**

I don't like the new caps on thread agent usage. It makes it more difficult for our teammates to find information and will funnel them back to the same team members to pull their information. The initial setup required a couple weeks to migrate everything over.

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

Hex lets me easily look through data using natural language and allows teammates who don't know SQL to access data.

  ### 17. Effortless Data Manipulation with Hex AI

**Rating:** 5.0/5.0 stars

**Reviewed by:** Marissa F. | Mid-Market (51-1000 emp.)

**Reviewed Date:** April 13, 2026

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

I am a beginner user of Hex and I use it to create dashboards and do analysis via threads. I like that I'm able to easily manipulate data in ways that Salesforce reporting can't. I appreciate Hex AI because it's very easy to use and is pretty accurate. Additionally, I like that Hex is connected to Snowflake for our data.

**What do you dislike about Hex?**

Nothing at the moment

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

I use Hex to create dashboards and analyze data in ways that Salesforce can't. Hex AI is easy to use and accurate, helping me with data manipulation effectively and efficiently.

  ### 18. Fast, Intuitive, but Simple Graphics

**Rating:** 5.0/5.0 stars

**Reviewed by:** Thibault S.

**Reviewed Date:** December 16, 2025

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

I love using Hex to create dashboards and product analyses. I particularly appreciate the quick access to data and the simplicity of creating impactful and clear visuals. What I like the most is its blend between a Jupyter notebook and a classic reporting tool like Looker or Tableau. This allows me to quickly retrieve a figure that interests me and calculate new metrics, which facilitates rapid iteration compared to other more cumbersome tools. The initial setup was really simple and intuitive to connect to the database. I would give it a 10 out of 10 for recommending it to a friend or colleague.

**What do you dislike about Hex?**

Even though they are good, I find the chart options too simplistic with little room for maneuver. I would like more chart styles, like Gantt for making funnels, and more options in the most used charts.

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

Hex allows me quick access to data and easily creates impactful visuals. I appreciate the blend between a Jupyter Notebook and a traditional reporting tool. I can quickly retrieve figures and calculate new metrics, which allows me to iterate rapidly.

  ### 19. Transforms Data Visualization with Flexibility and Ease

**Rating:** 4.5/5.0 stars

**Reviewed by:** Jon Y.

**Reviewed Date:** December 15, 2025

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

I really enjoy how easy it is to create dashboards with Hex. The ability to flip between SQL and Python is fantastic because I can use the code that's best suited for the task at hand. The easy drop-down for charts and drag-and-drop features for charting and pivot tables make it a lot quicker than using pure Python or notebooks. The charts are far more visual and effective than those in Looker, and Hex is far cheaper than Tableau, which is great. The ability to see which parts of the code are taking longer than others is also brilliant as it often easy to speed up applications during test runs with some simple data editing.

**What do you dislike about Hex?**

The charting library could be expanded. It would be incredibly helpful to have slightly more options to choose from, and for certain charts to be slightly less rigid in their structure.  While certain charts can be created with python scripts, these always look significantly different in the app to those auto created by by the hex charting library.  Expanding the library would speed up certain dashboard building as well as improving the visuals.  For example, funnel charts would be a great addition. The notifications are a really cool function. However, they seem more suited towards a backend team suggesting that this run of the application has failed or succeeded, rather than a general updating for a company-wide or even a C-suite level view for things like daily or weekly updates on metrics. If the notifications were improved in that respect, and the charts could be pulled directly into it rather than from a PDF, it would be a really top-level tool.

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

I find Hex makes creating and editing dashboards easy. It allows pulling data directly and running calculations efficiently, saving days of work. The combination of SQL and Python in a single workflow simplifies handling data dynamically.

  ### 20. Fantastic Flexibility for SQL/Python Workflows and Team Collaboration

**Rating:** 5.0/5.0 stars

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

**Reviewed Date:** March 23, 2026

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

The overall flexibility of the tool is fantastic. I love being able to segment complex queries into different blocks, switch between SQL and Python, and to collaborate with coworkers directly in an IDE.

**What do you dislike about Hex?**

I wish Hex could surface code errors before running queries, similar to BigQuery's out of the box IDE. I would like the ability to snooze/comment out blocks rather than physically commenting out the code. Direct AI coding assistant integration would be nice. The graph is helpful but hard to navigate

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

Primarily I am using Hex to build out operational performance tracking, automating workflows, and running adhoc analyses

  ### 21. Effortless Notebook Sharing and Fast Analysis with Hex

**Rating:** 4.0/5.0 stars

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

**Reviewed Date:** December 11, 2025

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

I quite like the notebook to app workflow and sharing capabilities. Creating a notebook from scratch, building out a replicable analysis, and sharing that with colleagues is a breeze with Hex. The SQL caching feature is quite nice as well to allow for faster notebooks coupled with sharing.

**What do you dislike about Hex?**

You can redefine variable names in different cells. This leads to one of Hex's main features not executing well. A traditional jupyter notebook runs top to bottom sequentially. With Hex, a graph is created. If I want to run the 30th cell then Hex uses the graph to understand what stale cells above it should also be run. This is great, until you redefine variables in different cells which leads to less of a gain from this feature.

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

Hex solves the problem of analysis coming to a dead end and residing in a silo. With traditional notebooks, it is rather tedious to share the output. Hex elegantly solves for this with the app builder integrating non-data folk friendly chart designs to allow for self service by stakeholders after the hard work is put in by a data person.

  ### 22. Simplifies Data Analysis with Room for Improvement

**Rating:** 4.0/5.0 stars

**Reviewed by:** Tejas B.

**Reviewed Date:** December 09, 2025

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

I like that Hex combines the usage of SQL and Python, unlike Jupyter notebooks. It has an easier way of creating charts, pivots, and tables. The pivot feature with calculated columns is the one I find most helpful, and the chart cells as well. These features save me a lot of time because I would have had to write code to perform these actions otherwise. The Pivot Hex cell is great because even a non-technical person can just drag and drop to adjust things. I found the initial setup fairly easy due to the documentation.

**What do you dislike about Hex?**

Sometimes the cells cause errors without any changes to the code or formula, which is frustrating because there's nothing to debug. This annoys me a lot. Also, there could be more chart types available for a more detailed analysis.

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

I use Hex for data analysis and a bit of machine learning. It combines SQL and Python, unlike Jupyter notebooks, and makes creating charts, pivots, and tables easier. The pivot feature with calculated columns and chart cells saves time and allows non-technical users to make adjustments.

  ### 23. Flexible tool for every data team

**Rating:** 5.0/5.0 stars

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

**Reviewed Date:** December 08, 2025

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

- great visualization options
- highly flexible, dependency awareness between cells is very strong
- easy transition between python and sql
- responsive and kind customer support / team
- fast moving company, they keep adding new and useful features all the time
- easy to use
- reusable code components
- best AI integration in an analytics tool so far (still behind an experience like cursor though)

**What do you dislike about Hex?**

- github integration is weak. I wish it was possible to push changes via github. For data analysis and exploration hex is quite good but I also use it for internal tooling since it supports python and for those use cases I prefer to write code in cursor and push to hex.
- auto complete could have been much better
- cells that return "query" (instead of dataframe) is a great idea but the implementation is not good. It tries to show you a sample of data so if your query has heavy joins it takes forever. because of this, for reusable CTE's I need to use python which is not a seamless experience

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

- Adhoc, deepdive Data analysis (things that I can't handle with our BI tool)
- Sharing reports externally (ability to power an app with external people is very powerful)
- automation with scheduling (we have a daily anomaly detection algorithm)
- quick prototyping before moving things to Dagster/Airflow etc.
- internal tooling ( people just configure the input fields and run a python code behind the scenes)

  ### 24. Intuitive and Efficient Data Analysis with Integrated AI

**Rating:** 4.5/5.0 stars

**Reviewed by:** Levy S. | Fraud Lead, Mid-Market (51-1000 emp.)

**Reviewed Date:** November 11, 2025

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

I'm using Hex on a daily basis. It's very intuitive. I haven't done hands on data work in awhile and Hex made it easy for me to jump back in. Using the integrated AI I was able to find the information I wanted and it was helpful in extracting the information I needed quickly. It also made it easy to create quick apps using sql and python, schedule a job and integrate with other systems.

**What do you dislike about Hex?**

Working with other data clients, I remember one helpful feature was the results have been saved in tabs. In Hex, every time I run a query it overwrites the previous results. Would have been nice to still see them in a tab.

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

Hex provides me easy access to our data

  ### 25. AI-Powered Data Analysis Made Easy

**Rating:** 5.0/5.0 stars

**Reviewed by:** Farjad T. | Mid-Market (51-1000 emp.)

**Reviewed Date:** February 23, 2026

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

I love using Hex for data analytics because of its notebook feature, which allows me to continue my work effortlessly and slice up data in various ways for a deeper analysis. The direct connection to Snowflake makes accessing data super easy, and the AI agent has become quite good, eliminating the need for other AI tools in my analysis. The AI agent understands context well, is fast, and reasons effectively, making data exploration and complex SQL queries a breeze.

**What do you dislike about Hex?**

nothing

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

Hex connects directly to Snowflake, easing data access. Its notebook feature supports work continuation and complex analysis. The AI agent excels in context understanding, negating the need for other AI tools.

  ### 26. Quick, Easy Analysis Without Complex Setup

**Rating:** 5.0/5.0 stars

**Reviewed by:** Ollie R. | Credit risk manager, Small-Business (50 or fewer emp.)

**Reviewed Date:** May 14, 2026

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

Quick easy analysis without needing to setup connections and environments

**What do you dislike about Hex?**

Currently wr cqn only connect 1 external github library to a given hex project

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

Its helping me to quickly get reada from AB tests

  ### 27. Best analytical environment I have used

**Rating:** 5.0/5.0 stars

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

**Reviewed Date:** December 04, 2025

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

Hex is the most impressive analytical environment I have used so far. What impresses me most is how effortlessly Hex connects SQL and Python dataframes, allowing for smooth transitions between the two. I also value the intuitive visualization tools, including tables, pivots, and charts, which are simple to use without any additional setup. The data caching functionality is another strong point, as is the ability to connect to and manage multiple databases at once. ONe more feature worth to be mentioned is Components. And the last but not least is easiness of transforming notebooks into published apps.

**What do you dislike about Hex?**

Hex provides an excellent feature that allows you to reuse SQL query cells as CTEs in later SQL cells. However, this functionality comes with a frustrating drawback. When working in Notebook mode, you must execute the CTE cell before running the final query, which effectively doubles the execution time.

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

This tool is useful for data analysis and visualization, as well as for creating dashboards.

  ### 28. Hex Brings Coding, Analysis, and Team Collaboration Together Seamlessly

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Leisure, Travel & Tourism | Mid-Market (51-1000 emp.)

**Reviewed Date:** March 26, 2026

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

What I like best about Hex is how it combines coding, analysis, and collaboration in one place, making it easy to go from data to insights quickly while working seamlessly with a team.

**What do you dislike about Hex?**

One downside of Hex is that it can feel a bit complex for beginners, especially if you’re not familiar with SQL or Python, and some workflows can take time to fully get used to.

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

Hex solves the problem of using too many tools by putting everything in one place. It helps me work faster, stay organized, and easily collaborate with my team.

  ### 29. AI Agent Makes SQL Queries Easy with Natural Language

**Rating:** 4.5/5.0 stars

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

**Reviewed Date:** April 21, 2026

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

The AI agent to help run/create queries is great! As a person that is new to SQL and database structures, this has been incredibly helpful to use with natural language.

**What do you dislike about Hex?**

The speed of the publish feature from notebook to app could be faster. The delay can cause confusion and frustration when trying to make a fast update to release to users.

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

Querying and Analyzing data across a large database using natural language has saved a lot of time (and speed to ramp).

  ### 30. Powerful Data Analysis Tool with Seamless Setup

**Rating:** 5.0/5.0 stars

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

**Reviewed Date:** December 01, 2025

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

I appreciate Hex for its impressive agent integration and the ability to seamlessly alternate between SQL and Python cells, which stands out as a killer feature for me. This functionality allows me to extract data and plot it immediately, significantly enhancing my workflow efficiency, especially in creating reports starting from raw data. The ease of the initial setup is another aspect I found commendable, as it was 'super'. Overall, Hex has been a valuable tool in my work, leading me to highly recommend it with a perfect score of 10 out of 10.

**What do you dislike about Hex?**

I find that the kernel timeout messages in Hex could be clearer, which currently causes some confusion, especially when working under tight deadlines. Additionally, the publishing options available are not as comprehensive as they could be, which limits the flexibility and reach when sharing reports or results.

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

I use Hex for report creation from raw data, benefiting from agent integration and the ability to alternate SQL and Python cells, allowing immediate data extraction and plotting.

  ### 31. Powerful Analytics Tool with Stellar Python Support

**Rating:** 5.0/5.0 stars

**Reviewed by:** Emmett F.

**Reviewed Date:** December 01, 2025

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

I use Hex for a wide variety of analytics, data science, and data transformation tasks, which significantly broadens its applicability in my work. I particularly appreciate how Hex helps accelerate insights, auto-identify the correct datasets and joins, and analyze code for efficiency gains swiftly. The agent feature is incredibly powerful; it often gets me 80%+ of the way to completing a task very fast, allowing me to focus on manual edits or optimizations effectively. I have been using this agent since its release for a range of tasks, especially in writing Python code, and it continues to improve frequently. Moreover, I found the onboarding process very easy, which facilitated a smooth adoption of Hex in my workflow. Overall, I am highly satisfied with Hex and would wholeheartedly recommend it to others, as evidenced by my willingness to rate it a perfect 10 on the recommendation scale.

**What do you dislike about Hex?**

I find the agent feature sometimes struggles to switch effectively between query and dataframe mode. This can be problematic, especially when specific tasks require distinct modes, such as using dataframe mode for particular operations or query mode for handling larger datasets efficiently. Additionally, the size of notebooks tends to grow rapidly, which is often due to the creation of multiple cells instead of optimizing or editing existing ones. This rapid expansion with 'dormant' disconnected cells makes it challenging for me to grasp the full scope of a notebook, leading to difficulties in understanding and additional time required to comprehend what the notebook is doing.

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

I use Hex to accelerate insights, auto-identify correct datasets and joins, and quickly analyze code for efficiency gains.

  ### 32. Empowers Quick Analysis with Collaborative Insights

**Rating:** 5.0/5.0 stars

**Reviewed by:** Adrian L. | Mid-Market (51-1000 emp.)

**Reviewed Date:** May 18, 2026

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

I like the ability to chat with an agent and get thoughtful analysis created. It's just like any other bot experience, but this one creates SQL and visuals for me.

**What do you dislike about Hex?**

It's not always getting things exactly right the first time, which leads to an iterative approach needed to get what you want.

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

I use Hex for analysis and reporting, quickly understanding trends and sharing insights with colleagues.

  ### 33. User-Friendly but Needs Improvements

**Rating:** 3.0/5.0 stars

**Reviewed by:** Ashley Z.

**Reviewed Date:** February 02, 2026

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

I like Hex's nice UX and shortcuts, which makes it easy to navigate. The cache for slow queries is also really helpful, allowing me to iterate with cached results.

**What do you dislike about Hex?**

CTE is very confusing, and if a cell is running on an external cluster, not using dataframes, the CTE's result is not reused, causing it to rerun. Also, dataframes only use DuckDB, which is not MySQL compatible. I don't use apps, so I just want a notebook, not an app, and projects permissioning is confusing.

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

I use Hex for data analytics, especially getting data from SQL. Its nice UX and shortcuts, along with caching slow queries, make it easy to navigate and help me iterate with cached results.

  ### 34. Fast and Efficient Data Analysis Tool

**Rating:** 4.0/5.0 stars

**Reviewed by:** Corentin M.

**Reviewed Date:** December 29, 2025

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

I really appreciate Hex for data analysis and table explorations because it offers quick access to data, which is essential for my workflow. Its speed is impressive, allowing me to perform tasks efficiently. I also find the app builder to be nice, making the creation and sharing of visualizations smooth and easy. Plus, Hex helps with fixing queries using AI and building Python code, which enhances my productivity.

**What do you dislike about Hex?**

The notebook organization isn't flexible enough for me. I'd like to be able to create columns while moving code blocks. Also, getting detailed information about dataframe columns, like value distribution percentages, would be helpful.

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

I use Hex for quick access to data, fixing queries with AI, and building Python code. It allows me to quickly visualize and share insights, thanks to its speed and app builder.

  ### 35. Simplifies Data Management with Native SQL and Python Integration

**Rating:** 5.0/5.0 stars

**Reviewed by:** Aleksanteri S.

**Reviewed Date:** November 25, 2025

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

I love using Hex for ad hoc analytics due to its native SQL connection, which simplifies data retrieval. The ability to seamlessly integrate Python within the platform is highly valued as it allows me to build and share tools with my colleagues efficiently. Hex's ease-of-use, particularly with data in AWS, significantly enhances my workflow by enabling rapid task completion without the need for exporting or additional file management in Python or SQL. The Python + AI assistant feature is fantastic; sometimes the AI anticipates my needs and improves my typing through forward-filling, making coding a smoother experience. I also appreciate the ability to use the embedded version of Hex within our internal analytics platform, consolidating notebooks in one location, which I find extremely helpful. The initial setup of Hex was very easy, and based on my positive experience, I would wholeheartedly recommend Hex to others.

**What do you dislike about Hex?**

I dislike the CTRL+F functionality inside a cell in Hex. It does not allow me to search for instances within a large cell effectively. Instead, it requires me to use CTRL+F outside the cell, which then searches the entire notebook for the term, leading to inefficiencies in the workflow. Moreover, when using CTRL+F inside a cell, pressing ENTER does not take me to the next instance of the searched term automatically, which is an expected behavior that would greatly enhance usability.  Additionally, limitations in the amount of datapoints that can be displayed with the native visuals is a bit restricting. I constantly work with data that has lots of rows and lots of points. If there would be some default behavior that would somehow display an aggregate, a rolling median, or something and warn me about it rather than just say "too many data points" it would be useful. I'm typically more interested in the trends.

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

Hex makes data handling in AWS easy by integrating SQL and Python, speeding up workflow without exporting or writing separate files. The embedded notebooks centralize analytics, sharing tools with colleagues effectively.

  ### 36. Empowers Data Analysts with Flexibility and Advanced AI

**Rating:** 5.0/5.0 stars

**Reviewed by:** Tom N. | Co-Founder & Head of Data/AI/R&D

**Reviewed Date:** November 24, 2025

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

I really enjoy using Hex for our internal BI style reporting and its interactive notebooks, which make exploratory data analysis and prototyping seamless. The ability to connect to a variety of data sources such as MySQL, PostgreSQL, and Snowflake and query them effectively while blending SQL with Python is exceptionally powerful. As a data person, I find it straightforward to build and maintain our projects in Hex, freeing us from the limitations of traditional BI platforms. The inclusion of the new AI agents in Hex, particularly for answering ad-hoc questions and building notebooks, has greatly exceeded my expectations. I appreciate how the AI agent enhances its capabilities by reading our Snowflake data warehouse, DBT metadata, and the Hex projects we've developed. This creates a flywheel effect where the more we use Hex, the more valuable the tool becomes. It also provides me insights into the questions being posed by others in our company, helping to identify and address any blind spots in our self-service capabilities.

**What do you dislike about Hex?**

I wish their native dbt metricflow ingestion supported slowly changing dimensions, and I wish the pricing structure was a bit cheaper for explore seats.

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

I use Hex to integrate data from multiple sources, combining SQL and Python for powerful insights. It simplifies building and maintaining interactive reports, and the AI enhances data exploration, making it vital for identifying insights and blind spots in our data strategy.

  ### 37. Powerful Reporting, Needs Speed Improvements

**Rating:** 4.5/5.0 stars

**Reviewed by:** Ian M. | Senior Product Manager, Mid-Market (51-1000 emp.)

**Reviewed Date:** November 21, 2025

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

I find Hex incredibly effective for both performance reporting and exploratory analysis. The platform makes it really easy to dig into product funnels, understand trends over time, and craft reports that are fast and user-friendly, with the added convenience of scheduling them via email. I appreciate how quickly Hex operates once it loads, especially when handling complex tasks. The integration of SQL and Python is a major asset for me as a product manager at a fintech company. Being more familiar with SQL, I usually start there to build datasets for my charts, and then utilize Python for more complex data manipulation and visualization tasks. This seamless mix and match capability greatly enhances my workflow. Additionally, the learning curve for Hex was quite easy for me, largely facilitated by the AI assistance from both GPT/Claude and the in-app AI, though we've disabled it since. Overall, the platform stands out in terms of speed and flexibility compared to other tools I've used.

**What do you dislike about Hex?**

I found the controls over the charts to be lacking, specifically the difficulty in isolating a specific trendline by interacting with the legend. Additionally, the editor tends to load slowly, especially when working with large dashboards, which impacts efficiency. There's a need for improved performance, perhaps through pagination or chunking to handle large data loads more effectively.

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

I use Hex for performance reporting, dashboarding, and exploratory analysis. It simplifies digging into product funnels, understanding trends, and building easy-to-use reports. The SQL and Python integration enhances data manipulation and visualization, making analysis efficient and flexible.

  ### 38. Versatile Language Support, But Needs Better Components and Charting

**Rating:** 3.5/5.0 stars

**Reviewed by:** Brett W.

**Reviewed Date:** November 18, 2025

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

I greatly enjoy using Hex because it offers a flexible environment where I can choose between SQL and Python for my data tasks, providing me the versatility needed for a wide range of analyses. The standout feature for me is the ability to chain cells in multiple languages, allowing me to seamlessly switch between SQL for querying databases and Python for transformations or statistical analysis, all within the same notebook. This fluid transition simplifies my workflow and enhances productivity, as I can tailor my approach based on the specific needs of each task. Additionally, I appreciate how straightforward the initial setup is, particularly in sharing data connections like Snowflake or Redshift, which facilitates a smooth start with the tool.

**What do you dislike about Hex?**

I think the components in Hex are really problematic. My team initially believed the feature would simplify using the same metrics across notebooks, but due to poor design and understanding, it only results in significant bloat. The charting capabilities also leave much to be desired; the customization options are inadequate. Additionally, Hex's default dark mode makes it challenging to design good visualizations, as generally accepted best practices assert that charts are best made with a light background.

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

I use Hex to seamlessly switch between SQL and Python for data tasks in one notebook, simplifying reporting and analysis. It enhances data integration and transformation versatility, easing the workflow with flexible language choices.

  ### 39. Streamlined Analysis with Hex, Though Filter Needs Improvement

**Rating:** 5.0/5.0 stars

**Reviewed by:** Jacques P.

**Reviewed Date:** November 18, 2025

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

I use Hex for internal performance reporting, deep dive analysis, and as an extract tool. One of the things I love about Hex is how it speeds up my analysis time by handling modeling and visualizations in the same place, significantly saving me time. The Component features are extremely valuable, allowing me and my colleagues to reuse existing code, which enhances productivity and streamlines my workflow. I also love the ability to quickly build visualizations directly from SQL or Python code, which integrates seamlessly into my existing analysis processes. The 'resolve with magic' feature is another standout as it saves time by correcting simple errors efficiently, all while maintaining a clean and intuitive interface. Since everything is within the same space, I can focus on analysis and reporting without having to switch between multiple tools. Additionally, the ability to quickly share results with stakeholders in a clean format is incredibly beneficial. I find working with Hex enhances my productivity and simplifies my tasks, making my job easier. Due to these features, I would recommend Hex to others wholeheartedly, and I rate it a 10 out of 10 for its ease in making my job simpler.

**What do you dislike about Hex?**

The filter experience in Hex is complex and lacks intuitiveness compared to my experiences with Looker. It is not straightforward to apply filters to specific datasets or fields, which complicates the workflow.

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

Hex speeds up my analysis and reporting by combining modeling and visualizations, allowing me to focus on tasks without switching tools. It enables quick result sharing and reuses code efficiently, enhancing productivity.

  ### 40. Empowers Complex Analytics but Challenging for Non-Coders

**Rating:** 3.5/5.0 stars

**Reviewed by:** Andrew D. | Data Insights Manager

**Reviewed Date:** November 17, 2025

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

I appreciate Hex for its ability to seamlessly integrate both Python and SQL in a single interface, allowing me to efficiently analyze and visualize sports analytics data. The platform's support for Python libraries enables me to perform complex visualizations while also refining SQL queries, ensuring efficient performance. I value how Hex empowers me to conduct advanced data analysis, which was a significant reason for switching from Power BI. The advanced capabilities offered by Hex are useful for executing complex analytics and visualizations, providing a robust solution for my analytical needs.

**What do you dislike about Hex?**

I find Hex to be highly reliant on users having coding abilities, which can be a barrier for those who do not code. This reliance makes even basic visualizations somewhat limited if you're using no-code options.

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

Hex allows me to analyze and visualize sports analytics data using both Python and SQL, making it easier to perform complex analytics and visualizations efficiently.

  ### 41. Transformative for Analytics with Quick Visualizations

**Rating:** 5.0/5.0 stars

**Reviewed by:** Todd R. | Vice President of Data

**Reviewed Date:** November 17, 2025

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

I really appreciate Hex for its ease of use, from writing queries to creating quick visualizations. The process is so efficient that it significantly reduces the time to create something useful, especially compared to other tools like PowerBI. Additionally, Hex's AI agent has been a substantial boost to my productivity, benefiting both technical and non-technical users. Setting up Hex was very easy, which made the transition smooth and hassle-free. Overall, the ability to complement our workflows with such a powerful tool makes Hex an indispensable part of our analytical process.

**What do you dislike about Hex?**

A significant blocker for us to fully use dashboards in Hex is the lack of a robust scheduling feature. While it technically exists, I've encountered multiple times at multiple companies that scheduled runs get into a frozen state. The scheduled runs start to pile up and crash Hex giving us an error that we're out of capacity of our kernel usage. The only way to fix this is contact Hex support to clean it up on the backend which has taken multiple days of downtime.

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

I use Hex for repeatable parameterized analysis, easing deep dives that build strong narratives. It's user-friendly for queries and visualizations, boosting productivity for all users. Hex offers faster dashboard creation than PowerBI.

  ### 42. Very Informative, Enjoyable Dashboard

**Rating:** 5.0/5.0 stars

**Reviewed by:** Karen D. | Accounting Manager, Small-Business (50 or fewer emp.)

**Reviewed Date:** June 23, 2026

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

I enjoy the dashboard.  very informative

**What do you dislike about Hex?**

Would like a statement balance of what needs to be paid.  I would like to match to our payables.

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

I like how it catergories everything.  Saves me time

  ### 43. SQL + Python made easy

**Rating:** 4.5/5.0 stars

**Reviewed by:** Rahul A. | Senior Manager, Strategy & Analytics, Mid-Market (51-1000 emp.)

**Reviewed Date:** August 28, 2025

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

The best thing about Hex is honestly how it combines SQL and Python in a really smooth, cell-based way. I love that you can break down long SQL queries into smaller CTEs, run them step by step, and actually see what’s happening at each stage. Makes debugging and collaborating way easier compared to writing one giant query in Snowflake. Also love how you can quickly switch to Python when needed and then use the magic cell to pivot or make a chart. It just feels way more natural for analysis.

**What do you dislike about Hex?**

I’d say the charting options could be more powerful. A lot of times I still have to go back into Python to build visualizations that I can’t do natively in Hex. Not a huge deal, but would be nice if that was stronger. Another thing is that Hex doesn’t really “understand” our database schema - like if there was some way to feed it a model schema and get smarter code suggestions, that’d be a game changer. Right now Snowflake feels a little ahead on that front.

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

We’re a fitness company with tons of data across clients, memberships, and studios, and Hex makes it way faster to dig into all of that. Instead of bouncing between SQL and Python separately, we can just do everything in one place. It’s also becoming our first stop for building charts and visuals before pushing them into Tableau, which saves us a lot of time and lets us catch insights earlier.

  ### 44. A Versatile Powerhouse for Data Management

**Rating:** 5.0/5.0 stars

**Reviewed by:** Max .

**Reviewed Date:** November 12, 2025

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

I use Hex daily to seamlessly work with data from multiple sources and APIs, consolidating them to answer business and industry questions effectively. It's easy to use and powerful, allowing me to build custom apps and automations effortlessly. I love how I can easily share my notebooks as projects with others, fostering collaboration. The AI features are incredibly helpful for completing queries and writing code, making my tasks more manageable. I run my notebooks on a schedule and send Slack messages with the latest numbers, ensuring my team stays informed. Hex's integration with tools like Google Drive for backups and API services for exporting and processing data adds significant value, enhancing data handling and communication. The ongoing releases by Hex's team consistently add small features that simplify my workflow, such as copying chart styles and enhancing chart functionalities. I've found the initial setup of Hex extremely easy, having done it multiple times for different teams. It's a product that I've introduced to many, who have also come to love it for its efficiency and capabilities.

**What do you dislike about Hex?**

Sometimes it's hard to rearrange my cells when I have a lot of them, which would be great to improve that UX.

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

I use Hex to integrate data from diverse sources and automate workflows, enhancing decision-making and team communication. Its AI features and seamless integrations with tools like Slack and Google Drive streamline my processes and keep my team informed with up-to-date data.

  ### 45. AI-Driven Reporting Magic, But Needs Improved Data Limits

**Rating:** 4.0/5.0 stars

**Reviewed by:** Msovo M.

**Reviewed Date:** November 11, 2025

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

I really like how Hex makes it easy to handle the tables I need for building SQL and Python cells with just a prompt. The magic AI feature of Hex is incredibly valuable as it assists me in writing SQL queries, even when I'm unsure about the exact table or columns that contain the data I'm looking for. It breaks down complex queries into manageable chunks for me. Additionally, Hex helps me with CSS, HTML, and JS for my iterative charts, which end up looking quite impressive.

**What do you dislike about Hex?**

Hex has a limitation when it comes to the size of data it can handle, with a cap at 10mb for data rendering. This is problematic for me as I often need to load historical data up to 50mb, making it impossible to visualize such datasets due to this restriction. Additionally, the ability to filter visuals is limited. I cannot create a chart that can filter other visuals, and the current filtering capabilities within Hex are not as advanced as I would like. I want to be able to apply a filter on a visual that dynamically adjusts the data across the notebook. There is also a need for an enhanced interaction between JavaScript objects and Python for a more seamless workflow. Lastly, I prefer using IPython display for my notebooks because they look more modern compared to the visuals provided by Hex.

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

I use Hex to effortlessly create reports for business operations, leveraging its AI to write SQL and Python queries, breaking down complex queries, and assisting with CSS, HTML, and JS for visually appealing interactive charts.

  ### 46. Empowers Data Pros and Business Users Alike

**Rating:** 5.0/5.0 stars

**Reviewed by:** Justin S.

**Reviewed Date:** November 10, 2025

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

I love Hex because it has been instrumental as our main BI tool, especially when I'm the sole data professional at our company. The Hex AI agent is truly amazing and beneficial for business users and development within Hex. It's been a key asset, allowing even non-technical team members to explore data with ease, significantly improving time to insight. The flexibility to dive deep into analyses with Hex's notebook approach is something I particularly enjoy as an analytics professional. It enables me to explore data thoroughly and manage deep dives effortlessly. The ability to use the AI agent almost daily through Slack demonstrates its integration and effectiveness across the company, from our CEO to AEs, making data accessible and insightful despite occasional minor errors. Overall, Hex is a powerful tool that has enriched our data analysis capabilities significantly.

**What do you dislike about Hex?**

I often have trouble with scheduled runs with notebooks - either a run fails or the environment isn't loading properly. Sometimes this has to do with the auto-caching, other times the notebook kernel just fails. When I open a notebook and it just says 'failure' when the kernel fails, I don't know how to even start debugging that.

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

I find Hex reduces time to insight and empowers non-technical team members to explore data easily.

  ### 47. Solid Dashboarding with Room for Improvement

**Rating:** 3.5/5.0 stars

**Reviewed by:** Steven H.

**Reviewed Date:** January 28, 2026

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

I like Hex for the user experience and quick dashboard development. It also provides convenience in scheduling, distributed compute, and quick dashboarding. Additionally, data access to many different hosting platforms is a significant benefit.

**What do you dislike about Hex?**

It slows down data science development as there is a lag or pulling large amounts of data is slow due to how it offloads the distributed data compute pools to the different data sources compared to Databricks. Also, the lack of customizability on dashboard development where I tend to show static seaborn or matplotlib plots vs Hex interactive plots.

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

Hex provides data access to various hosting platforms and offers convenience in scheduling, distributed compute, and quick dashboarding.

  ### 48. Enhances Analysis with Unique Features, Needs Better Integration

**Rating:** 5.0/5.0 stars

**Reviewed by:** Ana R.

**Reviewed Date:** November 06, 2025

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

I find Hex incredibly valuable due to its capability to streamline my workflow by allowing seamless analysis and sharing of data across colleagues. Its unique combination of SQL and Python functionality makes it extremely versatile and powerful for data analysis tasks. The scheduling feature is a lifesaver as it enables running scripts automatically and delivers notifications, which are crucial for monitoring and alerting me about failing tests, thereby maintaining the integrity of projects. I highly value the schedule updates, AI assistant, and magic features, which work exceptionally well and are superior to many competitors. Notifications enhance real-time awareness of tasks, while the dual support of SQL and Python in Hex enhances its computational capability tremendously. Furthermore, its integration with other tools like Snowflake, Slack, and GitHub is smooth and enhances my operational efficiency. The initial setup was very easy, which made the transition to Hex smooth and hassle-free. Overall, my experience with Hex has been overwhelmingly positive, as reflected in my recommendation score of 10.

**What do you dislike about Hex?**

I find managing permissions quite cumbersome with Hex. Creating groups or assigning dedicated permissions and access controls currently feels very manual. It’s an aspect that could benefit from a more streamlined process. Additionally, the integration of code with a GitHub repository is limited because it needs to be enabled on a per-notebook basis. This requirement makes it challenging to maintain and can be a significant blocker for larger organizations.

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

I use Hex for data analysis and sharing insights with colleagues, combining SQL and Python effortlessly. It solves scheduling scripts and sends failure notifications, enhancing productivity and collaboration.

  ### 49. Boosts Analysis with Intelligent AI

**Rating:** 5.0/5.0 stars

**Reviewed by:** Severo B.

**Reviewed Date:** January 08, 2026

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

I work with dashboards and analyses using Hex, and I really appreciate how Hex Agent AI speeds up delivery significantly. It's super smart and has a lot of capabilities, allowing me to build whatever I want with very little need for corrections. The initial setup was super easy too, only needing access, with the DE team handling data ingestion. Overall, I'm very satisfied, given that I rated my likelihood to recommend Hex as a 10.

**What do you dislike about Hex?**

I think Hex Agent AI could be improved by allowing it to look at existing notebooks outside the one I'm currently working on.

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

Hex Agent speeds up delivery significantly and it's super smart, allowing me to build whatever I want with minimal corrections.

  ### 50. Flexible Python + Hex Projects, but Front-End Needs More Polish

**Rating:** 3.5/5.0 stars

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

**Reviewed Date:** February 10, 2026

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

The agent that helps optimise projects, with the added flexibility to use Python and Hex in the same project with minimal effort.

**What do you dislike about Hex?**

The front-end presentation is harder to make look polished and presentable compared with other tools.

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

We use it to automate the creation of various slide decks, which saves time for our non-data teams and helps us internally. We also spin up dashboards for finance, sales, and other departments, so they can access what they need without a lot of manual work. On top of that, we automate Gemini calls and push the results into other platforms, for example Jira.


## 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=2&section=pricing&secure%5Bexpires_at%5D=2026-07-12+17%3A54%3A21+-0500&secure%5Bsession_id%5D=82a2bc6e-be63-4a1f-87b6-12a727bf5691&secure%5Btoken%5D=44c559e69cd7fed67a98a20aae19e01738058b88b267d17255421911d398ff3f&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

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