Live data from Hacker News

Show HN: Ananas – a hackable data tool for beginners

ananasanalytics.com

11–20 of 109 posts

Re: Show HN: Ananas – a hackable data tool for beginners

#11
post #6

This looks good. One of your competitors charges about $4,000 per seat per year so this seems to be a good space. If you add the possibility of building user defined nodes with Python you’d have a solid product.

We will release a user-defined function with Javascript in next release. Python is on the roadmap too.

Re: Show HN: Ananas – a hackable data tool for beginners

#13
post #8
post #2

My unprofessional professional opinion. The product looks great, but the name has to go. I can't imagine pronouncing that, let alone communicating it over a phone. Any simple word before analytics would be better. Edit: pineapplytics is the obvious cute and available one, however may still be difficult to communicate.

Delighted that this is one of the first comments! :) The product was designed to make analytics easy. We found that the word Analytics is not easy to pronounce too. So we decided to make the word analytics easy too! But thanks for your comments, we will consider about it.

I think the name and logo are nice (pineapple database right?) but agree that it's both difficult to spell and pronounce (particularly for people who refer to them as "pineapples").

If you want to be cheeky, CONCAT(SUBSTR('analyst', 1, 4), 'desktop') is available for a .com domain.

Re: Show HN: Ananas – a hackable data tool for beginners

#14
post #13
post #8

Earlier quoted context omitted.

Delighted that this is one of the first comments! :) The product was designed to make analytics easy. We found that the word Analytics is not easy to pronounce too. So we decided to make the word analytics easy too! But thanks for your comments, we will consider about it.

I think the name and logo are nice (pineapple database right?) but agree that it's both difficult to spell and pronounce (particularly for people who refer to them as "pineapples"). If you want to be cheeky, CONCAT(SUBSTR('analyst', 1, 4), 'desktop') is available for a .com domain.

Love this CONCAT(SUBSTR('analyst', 1, 4), 'desktop') idea! ;)

Re: Show HN: Ananas – a hackable data tool for beginners

#15
post #11
post #6

This looks good. One of your competitors charges about $4,000 per seat per year so this seems to be a good space. If you add the possibility of building user defined nodes with Python you’d have a solid product.

We will release a user-defined function with Javascript in next release. Python is on the roadmap too.

Will you have a server too? Another issue is scheduling, triggers, etc.. You are in this strange space between Excel and “enterprise” ETL like Talend. We are so frustrated with the current poor state of data prep that we went to Python based workflows with the idea of scheduling, triggering, via Airflow. Seems to work well so far. But your IDE for data prep is a bit better positioned than what we use now (Jupyter).

Re: Show HN: Ananas – a hackable data tool for beginners

#17
post #6

This looks good. One of your competitors charges about $4,000 per seat per year so this seems to be a good space. If you add the possibility of building user defined nodes with Python you’d have a solid product.

woah, that is steep. who is this competitor?

Re: Show HN: Ananas – a hackable data tool for beginners

#18
post #16

Does this have any sort of hinting for indexed queries at all? I would worry that a beginner would create a horrid mess of queries that could consume all available resources.

That's a good point. Actually we think of this tool as a collaboration tool which enables non technical users and data engineers to share this visual DAG and work together. The Apache Beam runners we use behind the scene have a Query planner to optimize chained queries . However you're totally right . This can't help a non technical users to write messy queries. The visual DAG should however helps them to split a complex query into simpler ones.

Re: Show HN: Ananas – a hackable data tool for beginners

#19
post #15
post #11

Earlier quoted context omitted.

We will release a user-defined function with Javascript in next release. Python is on the roadmap too.

Will you have a server too? Another issue is scheduling, triggers, etc.. You are in this strange space between Excel and “enterprise” ETL like Talend. We are so frustrated with the current poor state of data prep that we went to Python based workflows with the idea of scheduling, triggering, via Airflow. Seems to work well so far. But your IDE for data prep is a bit better positioned than what we use now (Jupyter).

Actually, we provide a command-line interface, you can do pretty much everything the UI does with command-line. And you can also run it in server mode with command-line. In the current version, we haven't covered scheduling yet. A possible solution would be scheduling through Airflow BashOperator in airflow. Or we can implement scheduling solution into the server itself.
Post reply on HN