What leaders and teams rolling out Hex report, with every finding tied to its evidence.
Read the findingsPractitioner sentiment, leaders and teams
+65 Strong positive from 33 sources that take a side
How this figure is madeFrom 31 authors in 31 discussions. Run a pilot on questions your analysts already answer to measure how often its numbers match theirs.
Jan 2025 to Oct 2026.
61 sources from practitioners, by month and sentiment.
Teams and data leaders praise Hex's AI agents most, followed by its SQL and Python notebook and published apps. Large notebooks and scheduled runs draw the most complaints about speed. Where accounts say whether Hex replaced their BI tool, most say it did.
Positive, mixed and negative sources
The score counts them as 20 positive, 11 mixed and 0 negative votes, one per author. No source is negative. See How the numbers work.
See the evidenceBelow: 4 praise themes, 1 concern, 2 points of agreement and 1 disagreement.
Counted for Leaders and teams rolling it out, from 35 sources. Change group
Every capability practitioners describe positively, ranked by how many sources say so. Open one to read who said it.
Counted for Leaders and teams rolling it out.
Positive, 15
Positive
blockchan, Reddit commenter in r/dataengineering
Comment on: For you doing Agentic Engineering with dbt, how do you make sure your agents aren't generating slop?Reddit comment
After six months preparing clean Kimball models and a semantic layer, the commenter's company uses Hex as its BI tool, with 90% of use through Threads. It trades some quality for much faster development.
Positive
Thiago Baldim, Director of Engineering, Data at Mitti
From 14-hour batches and poor documentation to AI-ready data: Mitti's dbt rebuildConference talk, dbt Summit 2026
Mitti raised dbt test coverage from 40% to full coverage across more than 500 models before adding AI, and its clean lineage and documentation made natural-language analytics possible. Hex became the company's fastest-adopted AI tool, growing from 30 to 150 users in its first month.
"Hex became the company's fastest-adopted AI tool, growing from 30 to 150 users in its first month…"
Positive
informatica6, Reddit commenter in r/analytics
Post: Just used AI for the first time. Need your advice.Reddit post
At a larger company where Claude and Hex connect to the warehouse and semantic layer, the analyst finds the agent picks tables, writes and runs SQL, and checks results. That makes the work far more productive.
Positive
Amber Fallon, Hex user for one year
Streamlined data reporting has boosted collaboration and saved significant analysis timeIndependent user review, AWS Marketplace (review syndicated from PeerSpot)
A one-year user relies on Hex's built-in LLM agent for customer reporting, saying it roughly halved report-gathering time and saves about 20% of reporting effort, and wants AI review of finished work.
Mixed
Reviewer on G2 in Entertainment, Operations department head at a mid-market entertainment company
G2 review: Hex AI 10/10 without credit limits. With proposed limits 3/10, gutting main benefit.G2 review
An operations head whose non-technical team builds visuals and automations with Hex AI says the new credit system would stop them. Some of the team use 500 credits against a 40-credit grant.
Mixed
Reviewer on G2 in Insurance, Dashboard builder at an enterprise insurance company
G2 review: Versatile AI Agents and Seamless SQL-Python Notebooks for a Hassle-Free WorkflowG2 review
The reviewer says the new Hex agent fixes code far better than the old Magic assistant, but shared editing lets one teammate publish over another's changes, and large dashboard notebooks lag.
Positive
tomtomau, Hacker News commenter and Hex workspace admin
Comment on: Hex: Introducing Generative Data AppsHacker News comment
As an admin at a long-time customer, the commenter values seeing what the team asks Hex's agent and where context is weak. They see generative apps answering requests to wire Claude straight to Snowflake.
Positive
Camden W., Manager, Analytics Engineering (G2 reviewer)
G2 review: Revolutionizing Analytics with Efficiency and InnovationG2 review
An analytics engineering manager uses Hex as one interface for BI assets and conversational analytics, replacing homegrown tools, and wants faster search and cached results for the Threads agent.
Positive
Alex R., Hex workspace admin (G2 reviewer)
G2 review: All-in-One Data Analysis Powerhouse with Intuitive FeaturesG2 review
A Hex admin runs the whole analysis workflow in Hex with its AI, but says non-technical users treat AI outputs as a source of truth despite errors and wants per-group rules.
Positive
nonobility86, Reddit commenter in r/dataengineering
Comment on: Anybody using Hex / Omni / Sigma / Evidence?Reddit comment
The commenter's team uses Hex: an exceptional analysis tool whose Threads agent works very well over the warehouse, though dedicated BI tools are better for dashboards alone.
Positive
Tom N., Co-Founder and Head of Data, AI, and R&D (G2 reviewer)
G2 review: Empowers Data Analysts with Flexibility and Advanced AIG2 review
A head of data runs internal BI reporting in Hex; its agents read the Snowflake warehouse, dbt metadata, and past projects, and the reviewer wishes explorer seats cost less.
Positive
Emily Hawkins, Analytics Engineering Manager at LangChain
No drift allowed: LangChain's context playbook with HexConference talk, dbt Summit 2026
LangChain layers dbt project docs, Hex workspace guides, a semantic layer, and endorsed models under its Hex agent, and rewrote column descriptions for an AI reader. Self-serve analytics questions rose 40x, and the data team shifted from answering every question to owning the context.
"The payoff was a 40x increase in self-serve analytics questions, letting the data team shift from answering every question to owning the context that lets other teams self-serve directly…"
Positive
Emily Hawkins, LangChain data team (byline author)
How we built LangChain's agent-first data stackEngineering blog post, LangChain Blog
LangChain's data team left its legacy BI tool for Hex in six weeks. Its Hex-based data agent now handles about 40x the requests the three-person team could field, with analysts still validating important answers.
Mixed
Todd R., Vice President of Data (G2 reviewer)
G2 review: Transformative for Analytics with Quick VisualizationsG2 review
A VP of data builds dashboards faster in Hex than in Power BI. At several companies, though, scheduled runs froze, piled up, and crashed the kernel, with days of downtime until support cleared them.
Positive
renagade24, Reddit commenter in r/dataengineering
Comment on: Hybrid LLM + SQL architecture: Cloud model generates SQL, local model analyzes. Anyone tried this?Reddit comment
The commenter's team upgraded its Hex license for the built-in agent and opened its semantic layer to it; the agent is good but needs a solid context file and well-written prompts.
Mixed or negative, 2
Mixed
Reviewer on G2 in Higher Education, Developer at a mid-market higher education organization
G2 review: Game changer for our company, but need some more "boring" featuresG2 review
The reviewer says Hex gives engineers and analysts one place to work, but found Magic useless for developers next to ChatGPT, and stakeholders miss totals in pivot tables.
Mixed
Reviewer on G2 in Information Technology and Services, Developer of LLM applications at a small IT services company
G2 review: Hex - First Class Product for Data Visualization and CollaborationG2 review
The reviewer rates Hex's notebook above Mode and Tableau and says it connects well to Snowflake and ClickHouse, but finds Hex Magic weaker than plain ChatGPT and support slow.
Counted for Leaders and teams rolling it out.
Positive, 11
Mixed
Brett W., data team member (G2 reviewer)
G2 review: Versatile Language Support, But Needs Better Components and ChartingG2 review
The reviewer likes chaining SQL and Python cells, but says their team's use of components to share metrics across notebooks produced bloat, and chart customization is thin.
Positive
Ethan Brown, Director, Data & Applied Science at Amazon Web Services
Building an LLM-Powered Analytics Slack Bot at TwitchConference talk, Data Council 2025 (AI Council)
Brown's team uses Hex as its BI tool and finds the notebook-first layout very helpful. Each day, Airflow pulls the YAML file of each Hex project and an LLM summarizes it, and the team's Slack bot uses those summaries to recommend trusted reports.
"We use Hex as a BI tool, which is quite nice…"
Positive
Reviewer on G2 in Telecommunications, Report builder at a mid-market telecommunications company
G2 review: Hex is awesomeG2 review
The reviewer gets dashboards running quickly, switching between Python and SQL and querying dataframes, and calls the cost fair, though scheduled and cached runs sometimes return different results.
Mixed
Reviewer on G2 in Information Technology and Services, Developer of LLM applications at a small IT services company
G2 review: Hex - First Class Product for Data Visualization and CollaborationG2 review
The reviewer rates Hex's notebook above Mode and Tableau and says it connects well to Snowflake and ClickHouse, but finds Hex Magic weaker than plain ChatGPT and support slow.
Mixed
Reviewer on G2 in Insurance, Dashboard builder at an enterprise insurance company
G2 review: Versatile AI Agents and Seamless SQL-Python Notebooks for a Hassle-Free WorkflowG2 review
The reviewer says the new Hex agent fixes code far better than the old Magic assistant, but shared editing lets one teammate publish over another's changes, and large dashboard notebooks lag.
Positive
Jake Crump, GM of Core Product at Product Hunt
Product Hunt review of HexProduct Hunt review
Hex let the Product Hunt team prototype Kitty Points formula changes without touching production code and present them clearly to non-engineers.
Mixed
Cormac M., Senior Data Analytics Manager (G2 reviewer)
G2 review: Seamless SQL + Python Workflow, but Slow Loads and Limited Sharing ControlsG2 review
An analytics manager builds dashboards quickly by chaining SQL, but slow loads push colleagues to Looker Studio, and link sharing exposes a dashboard to the whole workspace.
Positive
nonobility86, Reddit commenter in r/dataengineering
Comment on: Anybody using Hex / Omni / Sigma / Evidence?Reddit comment
The commenter's team uses Hex: an exceptional analysis tool whose Threads agent works very well over the warehouse, though dedicated BI tools are better for dashboards alone.
Mixed
Todd R., Vice President of Data (G2 reviewer)
G2 review: Transformative for Analytics with Quick VisualizationsG2 review
A VP of data builds dashboards faster in Hex than in Power BI. At several companies, though, scheduled runs froze, piled up, and crashed the kernel, with days of downtime until support cleared them.
Mixed
Andreia S., Junior Data Analyst (G2 reviewer)
G2 review: Effortless SQL-Python Integration, But Row Limits Can Be RestrictiveG2 review
Without a data engineer on the team, an analyst moved dbt models and old dashboards into Hex, now the company's only BI tool. On their plan they cannot work with tables of millions of rows.
Mixed
Reviewer on G2 in Sporting Goods, Data scientist at a mid-market sporting goods company
G2 review: Hex for Data ScienceG2 review
A data scientist builds forecasting models their team can rerun, but Hex bogs down once a pandas dataframe passes a million rows, and the reviewer switches tools for quick charts.
Mixed or negative, 1
Mixed
Jeff D., Data Scientist (G2 reviewer)
G2 review: Great for sharing and collaborating, a bit frustrating for power usersG2 review
A data scientist develops in local Jupyter and moves work to Hex to share it, since Hex pins old Python and pandas versions and its chart editor adds latency for power users.
Counted for Leaders and teams rolling it out.
Positive, 7
Positive
Jake Crump, GM of Core Product at Product Hunt
Product Hunt review of HexProduct Hunt review
Hex let the Product Hunt team prototype Kitty Points formula changes without touching production code and present them clearly to non-engineers.
Positive
renagade24, Reddit commenter in r/analytics
Comment on: Convo got me thinking: is there room for a new kind of dashboarding tool?Reddit comment
Says Hex has been great for the team's end users, with a little Plotly for custom charts.
Positive
Reviewer on G2 in Telecommunications, Report builder at a mid-market telecommunications company
G2 review: Hex is awesomeG2 review
The reviewer gets dashboards running quickly, switching between Python and SQL and querying dataframes, and calls the cost fair, though scheduled and cached runs sometimes return different results.
Positive
Reviewer on G2 in Mental Health Care, Data analyst supporting the business side at a mid-market mental health care company
G2 review: Hex is a great tool that I use every day for work!G2 review
An analyst builds three or four Hex dashboards every two weeks, and stakeholders now request Hex apps for team, department, and company metrics; the reviewer compares it favorably with Looker.
Mixed
Jeff D., Data Scientist (G2 reviewer)
G2 review: Great for sharing and collaborating, a bit frustrating for power usersG2 review
A data scientist develops in local Jupyter and moves work to Hex to share it, since Hex pins old Python and pandas versions and its chart editor adds latency for power users.
Positive
Amber Fallon, Hex user for one year
Streamlined data reporting has boosted collaboration and saved significant analysis timeIndependent user review, AWS Marketplace (review syndicated from PeerSpot)
A one-year user relies on Hex's built-in LLM agent for customer reporting, saying it roughly halved report-gathering time and saves about 20% of reporting effort, and wants AI review of finished work.
Positive
Joshua Voydik, co-founder and CEO of Hero Stuff
Product Hunt review of HexProduct Hunt review
Their company uses Hex to put all its data in one place and see what is happening at high and low levels, finding it customizable with a simple interface.
Mixed or negative, 3
Mixed
Cormac M., Senior Data Analytics Manager (G2 reviewer)
G2 review: Seamless SQL + Python Workflow, but Slow Loads and Limited Sharing ControlsG2 review
An analytics manager builds dashboards quickly by chaining SQL, but slow loads push colleagues to Looker Studio, and link sharing exposes a dashboard to the whole workspace.
Mixed
Todd R., Vice President of Data (G2 reviewer)
G2 review: Transformative for Analytics with Quick VisualizationsG2 review
A VP of data builds dashboards faster in Hex than in Power BI. At several companies, though, scheduled runs froze, piled up, and crashed the kernel, with days of downtime until support cleared them.
Mixed
Reviewer on G2 in Higher Education, Developer at a mid-market higher education organization
G2 review: Game changer for our company, but need some more "boring" featuresG2 review
The reviewer says Hex gives engineers and analysts one place to work, but found Magic useless for developers next to ChatGPT, and stakeholders miss totals in pivot tables.
Counted for Leaders and teams rolling it out.
Positive, 5
Positive
hobs, Hacker News commenter, hiring manager for data roles
Comment on: Async Queue - One of my favorite programming interview questionsHacker News comment
Hiring for data roles, the commenter ran interview exercises in Hex with prepared examples and found it worked well.
Positive
Reviewer on G2 in Telecommunications, Report builder at a mid-market telecommunications company
G2 review: Hex is awesomeG2 review
The reviewer gets dashboards running quickly, switching between Python and SQL and querying dataframes, and calls the cost fair, though scheduled and cached runs sometimes return different results.
Mixed
Reviewer on G2 in Sporting Goods, Data scientist at a mid-market sporting goods company
G2 review: Hex for Data ScienceG2 review
A data scientist builds forecasting models their team can rerun, but Hex bogs down once a pandas dataframe passes a million rows, and the reviewer switches tools for quick charts.
Mixed
Reviewer on G2 in Information Technology and Services, Developer of LLM applications at a small IT services company
G2 review: Hex - First Class Product for Data Visualization and CollaborationG2 review
The reviewer rates Hex's notebook above Mode and Tableau and says it connects well to Snowflake and ClickHouse, but finds Hex Magic weaker than plain ChatGPT and support slow.
Mixed
Jeff D., Data Scientist (G2 reviewer)
G2 review: Great for sharing and collaborating, a bit frustrating for power usersG2 review
A data scientist develops in local Jupyter and moves work to Hex to share it, since Hex pins old Python and pandas versions and its chart editor adds latency for power users.
Mixed or negative, 2
Mixed
Reviewer on G2 in Insurance, Dashboard builder at an enterprise insurance company
G2 review: Versatile AI Agents and Seamless SQL-Python Notebooks for a Hassle-Free WorkflowG2 review
The reviewer says the new Hex agent fixes code far better than the old Magic assistant, but shared editing lets one teammate publish over another's changes, and large dashboard notebooks lag.
Mixed
Brett W., data team member (G2 reviewer)
G2 review: Versatile Language Support, But Needs Better Components and ChartingG2 review
The reviewer likes chaining SQL and Python cells, but says their team's use of components to share metrics across notebooks produced bloat, and chart customization is thin.
Every concern practitioners raise, most raised first.
Counted for Leaders and teams rolling it out.
Raised as a concern, 6
Mixed
Cormac M., Senior Data Analytics Manager (G2 reviewer)
G2 review: Seamless SQL + Python Workflow, but Slow Loads and Limited Sharing ControlsG2 review
An analytics manager builds dashboards quickly by chaining SQL, but slow loads push colleagues to Looker Studio, and link sharing exposes a dashboard to the whole workspace.
Mixed
Todd R., Vice President of Data (G2 reviewer)
G2 review: Transformative for Analytics with Quick VisualizationsG2 review
A VP of data builds dashboards faster in Hex than in Power BI. At several companies, though, scheduled runs froze, piled up, and crashed the kernel, with days of downtime until support cleared them.
Mixed
Andreia S., Junior Data Analyst (G2 reviewer)
G2 review: Effortless SQL-Python Integration, But Row Limits Can Be RestrictiveG2 review
Without a data engineer on the team, an analyst moved dbt models and old dashboards into Hex, now the company's only BI tool. On their plan they cannot work with tables of millions of rows.
Mixed
Reviewer on G2 in Sporting Goods, Data scientist at a mid-market sporting goods company
G2 review: Hex for Data ScienceG2 review
A data scientist builds forecasting models their team can rerun, but Hex bogs down once a pandas dataframe passes a million rows, and the reviewer switches tools for quick charts.
Mixed
Reviewer on G2 in Insurance, Dashboard builder at an enterprise insurance company
G2 review: Versatile AI Agents and Seamless SQL-Python Notebooks for a Hassle-Free WorkflowG2 review
The reviewer says the new Hex agent fixes code far better than the old Magic assistant, but shared editing lets one teammate publish over another's changes, and large dashboard notebooks lag.
Positive
Camden W., Manager, Analytics Engineering (G2 reviewer)
G2 review: Revolutionizing Analytics with Efficiency and InnovationG2 review
An analytics engineering manager uses Hex as one interface for BI assets and conversational analytics, replacing homegrown tools, and wants faster search and cached results for the Threads agent.
Discussed without concern, 2
No opinion stated
David Cramer, Sentry (issue filed through Sentry's Junior agent)
Hex: replace model-driven polling with a result-focused operationGitHub issue on getsentry/junior
Asking Sentry's agent for today's paid-account count took about 4 minutes 18 seconds. Ten Hex get_thread polls took about 166 seconds, most about 18 seconds each, and the team plans one result-focused Hex call.
Positive
Amber Fallon, Hex user for one year
Streamlined data reporting has boosted collaboration and saved significant analysis timeIndependent user review, AWS Marketplace (review syndicated from PeerSpot)
A one-year user relies on Hex's built-in LLM agent for customer reporting, saying it roughly halved report-gathering time and saves about 20% of reporting effort, and wants AI review of finished work.
GILD's fact checks, which don't count as sources
Checked Oct 12, 2026.Medium compute (8 GB, 1 CPU) is included on paid plans. Team and Enterprise can add larger profiles billed per minute, from US$0.32 an hour. Hex pricing
Open them in the recordStatements this group's sources agree on, then the ones close to agreement.
Hex's agents answer well when the data team curates context: semantic models, dbt definitions, guides, and endorsed data.
9 supporting sourcesPeople outside the data team answer their own data questions in Hex, cutting requests to the data team.
7 supporting sourcesClose to agreement: each needs 7 supporting sources
Hex replaces a mix of notebooks, spreadsheets, scripts, and dashboards with one workspace.
6 supporting sourcesQuestions the sources split on, with the count on each side.
Evidence remains mixed
Replaces BI, 8 sources
Some run their dashboards and reports in Hex and retired or never adopted a separate BI tool.
Alongside BI, 2 sources
Others use Hex for analysis that a BI tool handles poorly and keep a BI tool for dashboards.
The three groups, then every practitioner by the context they work in, and how emphasis changes with scale.
Three groups drawn from the same sources. Choose a group to select whose experience counts. Within that group, each author counts once in the practitioner sentiment, with their latest view. Signals open on Leaders and teams rolling it out.
35 sources. Accounts from data teams and departments, including leaders choosing an analysis workspace for their company.
26 sources. Accounts from individual analysts and data scientists using Hex for their own work.
61 sources. All reviewed accounts, combining solo analysts with teams opening Hex to business users. Their conclusions differ.
61 sources from practitioners, by the context they work in. Filled rows count for this group.
Emphasizes The SQL and Python notebook, and speed on large datasets
Emphasizes Shared notebooks and reusable components
Emphasizes Apps for stakeholders and AI help with SQL
Emphasizes Agents for non-technical staff, and what seats and credits cost
Emphasizes Curated context for a company-wide data agent
What changes with scale. Individual analysts talk about the notebook and its speed. Small teams add shared components and the apps they publish. Data leaders weigh whether non-technical staff can use the agents and what seats and credits will cost.
Where this group's sources were published.
Counted for Leaders and teams rolling it out, from 35 sources. Change group
50 sources for this group, 15 of them documentation
Every public account is dated 2025 or later. Sources that review a feature Hex has since replaced, such as Magic, stay in the record because their point about Hex still holds.
See sources by originWho each source is, how it knows, whether it still applies and what it counts toward.
Newest first, on its own page. Every count above opens its sources there.
Read all 76 sourcesAbout this read
A running review of what people using Hex at work report, from individual users to company-wide rollouts. Each finding links to its sources, and each conflict shows both sides.
Counts cover only the sources GILD reviewed.
Choose a group to select whose experience counts. Within that group, each author counts once in the practitioner sentiment, with their latest view. GILD files each source in a group from how the account describes its author. A role or employer marked self-described is what the source states about themselves. Documentation checks facts for every group and never counts toward sentiment.
A source's date and whether it still applies are separate: a recent post can describe an old version, and an old one can still hold.
Flagged for a recheck, of the sources that take a side: leaders and teams 0 of 33, individual users 0 of 26, all users 0 of 59.
Each row opens its sources for the group you are reading.
| Finding | Leaders and teams rolling it out | Individual users | All users | Sources |
|---|---|---|---|---|
| Current readCurrent sentiment | 22 positive, 11 mixed, 0 negative | 16 positive, 9 mixed, 1 negative | 38 positive, 20 mixed, 1 negative | Sources |
| PraiseAnalysis Workspace | 11 of 12 positive | 10 of 12 positive | 21 of 24 positive | Sources |
| PraiseAI Agents | 15 of 17 positive | 8 of 11 positive | 23 of 28 positive | Sources |
| PraiseData Apps & Sharing | 7 of 10 positive | 9 of 11 positive | 16 of 21 positive | Sources |
| PraiseCollaboration | 5 of 7 positive | 3 of 3 positive (under the minimum) | 8 of 10 positive | Sources |
| PraiseWarehouse Connections | 4 of 4 positive (under the minimum) | 2 of 2 positive (under the minimum) | 6 of 6 positive | Sources |
| ConcernSpeed | 6 of 8 raise it | 5 of 5 raise it | 11 of 13 raise it | Sources |
| ConcernFit for Business Users | 1 of 2 raise it (under the minimum) | 5 of 6 raise it | 6 of 8 raise it | Sources |
| ConcernCost | 2 of 3 raise it (under the minimum) | 0 of 0 raise it (under the minimum) | 2 of 3 raise it (under the minimum) | Sources |
| ConcernVersion Control & Portability | 0 of 3 raise it (under the minimum) | 0 of 2 raise it (under the minimum) | 0 of 5 raise it | Sources |
| ConsensusReplaces several tools | 6 supporting (below threshold) | 5 supporting (below threshold) | 11 supporting (below threshold) | Sources |
| ConsensusContext drives AI answers | 9 supporting | 3 supporting (under the minimum) | 12 supporting (below threshold) | Sources |
| ConsensusData team builds, others consume | 3 supporting (under the minimum) | 0 supporting (under the minimum) | 3 supporting (under the minimum) | Sources |
| ConsensusBusiness users answer their own questions | 7 supporting | 2 supporting (under the minimum) | 9 supporting (below threshold) | Sources |
| ConsensusAnalysts move faster | 3 supporting (under the minimum) | 4 supporting (under the minimum) | 7 supporting (below threshold) | Sources |
| DisagreementDoes Hex replace a team's BI tool? | Replaces BI 8, Alongside BI 2 | Replaces BI 1, Alongside BI 0 (under the minimum) | Replaces BI 9, Alongside BI 2 | Sources |
| DisagreementIs Hex a tool for the data team or for the whole company? | Data team 1, Company-wide 5 (under the minimum) | Data team 5, Company-wide 2 | Data team 6, Company-wide 7 | Sources |
| Current readEvidence mix | 50 sources | 41 sources | 76 sources | Sources |
GILD's checks of claims against official documentation, kept apart from the source counts.
