194 Hex Bewertungen
Gesamtbewertungsstimmung für Hex
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Hex is a wonderful product. It is a souped Jupyter notebook with native SQL and some nifty dashboarding features. For people able to code is a far superior solution compared to point and click BI tools like Tableau and Power BI. Bewertung gesammelt von und auf G2.com gehostet.
The three things I feel most limited by are:
1. It would be really nice to be able to support Python packages like pymer4 that rely on an R instance to run. There are many statistical packages that are R only.
2. The R functionality is basic compared to what is supported in Python. Would liek to see that built out.
3. Hex is pretty limited computationally compared to even my local machine. I often run into a bottleneck in terms of pure computation. Bewertung gesammelt von und auf G2.com gehostet.
- Notebooks are very easy to share
- I feel like Hex works well in an environment where users have a mix of background with notebooks. It's just very easy to get up and running and collaborate
- This is probably the easiest/quickest tool I've used for generating dashboards and sharing it with broader teams Bewertung gesammelt von und auf G2.com gehostet.
Hex isn't super great for power users e.g. those who've been using the Python ecosystem for years:
- You can not control the Python kernel (the latest you can use is 3.10 which was released over 3 years ago...). Critical libraries like pandas/numpy are pinned to very old versions and you can not upgrade them
- The GUI editor for creating charts is great for business users and engineers who haven't spent 10+ years learning matplotlib 😂 but for someone who has, the whole plotting interface is quite limiting and adds a lot of bloat/latency to the notebook UI
- No plugin ecosystem like other notebook solutions. I miss being able to automatically lint/apply code formatters to my cells Bewertung gesammelt von und auf G2.com gehostet.
Hex is so helpful for visualizing data and translating complex data insights into easy to digest insights for non-technical stakeholders. I compare Hex to Looker a lot and I love the ability to dynamically construct queries to create visualizations that improve performance and run times.
I use Hex every single day and create 3-4 dashboards every 2 weeks for stakeholders. The Hex apps have been widely accepted by stakeholdes. Bewertung gesammelt von und auf G2.com gehostet.
Hex does have some limitations. I recently came across a need to separate permissions for different users within a single app between tabs. I believe the current workaround is to embed individual cells into a separate application for visualization but if Hex could allow for different user access within a single app, that would be really great! It is kind of a niche use case but would definitely be appreciated. Bewertung gesammelt von und auf G2.com gehostet.
As a new user, I am still getting familiar with HEX and all of its features/functions. I like the sharing capabilites, it really assists with seamless collaboration. I appreciate the new outline feature to help me stay organized. Bewertung gesammelt von und auf G2.com gehostet.
For me, the visualizations are a bit of a downside. I find myself constantly having to rewrite queries or use parameters (work arounds) to make simple visualizations or big number values that are really easy to do in Mode or Tableau. For instance, why not be able to add more series to y axis for grouped charts. For example, if I have 3 values I'm trying to show over time, my only option is to do one as a bar, one as a line, and can't do the other at all. And this is just for the left axis. If I want to do the combo, then I would have 2 lines and it wouldn't make sense and be confusing. Also, it would be helpful to add filters to visualizations where end users can't see them. Bewertung gesammelt von und auf G2.com gehostet.
Ich liebe den immer verbundenen Cluster und die schnelle Code-Ausführung in HEX, im Gegensatz zu Databricks, wo ich die Notebooks immer mit dem Cluster verbinden muss, um Code auszuführen. Ich habe einmal mit dem Kundensupport interagiert, und sie waren wirklich hilfsbereit und leicht über Slack erreichbar. Ich finde das Codieren und Implementieren einer Lösung sowohl in SQL als auch in Python auf HEX einfach und ohne viel Aufwand. Ich bin Datenwissenschaftler bei Upwork und nutze HEX fast täglich, um an Datenwissenschaftsproblemen mit Python und SQL zu arbeiten. Ich finde die Integration von HEX-Notebooks mit anderen Speicherplattformen wie dem S3-Bucket unkompliziert. Bewertung gesammelt von und auf G2.com gehostet.
Ich vermisse die Einfachheit, jedes Notebook als Pipeline bereitzustellen und es in Form eines Workflows in HEX zu planen. Bewertung gesammelt von und auf G2.com gehostet.
It's very clear that the developers and product team at Hex have interviewed a ton of data professionals and are making a really great tool. The recent addition of Sections is proof of that, the amount I had to scroll through my longer notebooks was 100% my biggest complaint. Compoments and other features like that add a ton of flexibility to hex, and the customer support has always been helpful whenever I've needed it. Bewertung gesammelt von und auf G2.com gehostet.
I still struggle with extremely large datasets in hex - being able to return sql cells as queries and other workarounds like that certainly help, but when returning the data as a pandas dataframe things get bogged down very quickly once there are more than 1 mil rows in play. My other complaint is that the charts are not the easiest to use - if I want to very quickly visualize a bunch of different slices of data I will frequently turn to another tool and then return to hex once that step of my process is done. Other than that there are just weird little bugs sometimes, like the order by clause in a sql statement not reliably returning results in the requested order. Bewertung gesammelt von und auf G2.com gehostet.
The notebook experience in Hex is unmatched when compared to other data visualization tools in same class (e.g. Mode, Tableau, and Hex). This is especially true for users that are comfortable with code e.g. Python, SQL, and R. Additionally, Hex integrates well with the most common data warehouse types e.g. Snowflake, Clickhouse etc. The native charts are also very helpful and generally Hex appears to prioritize support for visualization libraries in Python which helps to cover use cases outside of what is available in native Hex charts. Bewertung gesammelt von und auf G2.com gehostet.
The only item that keeps me from giving Hex a perfect 10 score is that my experience with customer support has never been really been great. I'm not exactly sure why, but Hex customer support always takes a while to respond and when I do get a response it typically isn't very helpful. I suspect that the customer support team doesn't have great visbility into the issues facing customers, but I am unsure.
That being said, other less significant issues I've run into are:
1) Attempting to use GPUs on Hex. My team tried to use a GPU instance but frankly was unable to due to issues with package / library management. Honestly though, GPU instances feel a bit odd on Hex to begin with, and there are many other service providers I would rather use for development on GPUs.
2) Hex Magic does not work well at all. I personally don't have a strong need for an embedded LLM / AI into my Hex notebooks, but any time I've actually tried to the Hex Magic feature it often underperforms when compared to base ChatGPT. This is coming from someone who uses LLM / AI regularly and also develops applications that leverage LLM / AI. I suspect something is off with the underlying evaluation approach / pipeline. A good Hex Magic experience would feel like using Cursor, where the model understands the full context of the project. Bewertung gesammelt von und auf G2.com gehostet.
Ich liebe es, dass Hex die Möglichkeit bietet, Daten nahtlos von Snowflake in eine jupyter-ähnliche IDE zu integrieren, sodass ich schnell Demo-Apps erstellen kann, um sie mit anderen zu teilen, die immer auf dem neuesten Stand mit unserer Datenbank sind. Auch die Möglichkeit, Läufe zu planen, ist sehr praktisch. Bewertung gesammelt von und auf G2.com gehostet.
Das Importieren von Paketen aus unserem eigenen privaten GitHub-Repo und das Herunterladen von Paketen über pip ist in Ordnung, aber es ist nicht immer so nahtlos, wie ich es mir wünschen würde. Außerdem sind die Pakete, die standardmäßig verfügbar sind, nicht immer auf dem neuesten Stand (tiktoken, zum Beispiel). Es wäre schön, wenn es eine andere Möglichkeit gäbe, nahtlos anzugeben, welche Pakete und welche Paketversionen in Ihrer App enthalten sein sollen. Bewertung gesammelt von und auf G2.com gehostet.
I absolutely love how I can query from many sources -- my job typically has large CSVs that are unmanageable in Excel / GSheets, and I love how I can query from both our Snowflake source AND these CSVs. It's been a game changer. I can write complex code and have a digestible format for someone at the end. Bewertung gesammelt von und auf G2.com gehostet.
I've found that some of the visualization options are a bit limited (can't create totals on a pivot table) Bewertung gesammelt von und auf G2.com gehostet.
Quite easy to navigate, filter, and create queries. In general fast and easy way to search in data base for not engineers. Bewertung gesammelt von und auf G2.com gehostet.
One little thing. When searchin in table mode it's not possible to easy download results, as it's for code/query. I need to click "table result" which is under "table", and then download. Now I know that but initilly I thought that it's not possible to download results when I search in "table" mode. Bewertung gesammelt von und auf G2.com gehostet.
