[{"data":1,"prerenderedAt":563},["ShallowReactive",2],{"project-20498474":3},{"id":4,"name":5,"line":6,"line_source":7,"title":8,"url":9,"domain":10,"maker":11,"posted_at":12,"year":13,"points":14,"comments":15,"rank_in_year":16,"shown_in_year":17,"top":18,"tier":19,"category":20,"subcategory":21,"format":22,"keywords":23,"reception":29,"sentiment":30,"stance_mix":31,"scored_comments":36,"aspects":37,"strip":48,"post_text":50,"what":51,"said":96,"maker_in_thread":244,"shape":254,"grid":258,"attempts":526,"same_week":527,"maker_shows":43,"maker_hidden":555,"reader_version":556,"card":557},"20498474","Ananas","a hackable data tool for beginners","title","Show HN: Ananas – a hackable data tool for beginners","https:\u002F\u002Fananasanalytics.com\u002F","ananasanalytics.com","millboh",1563806954,2019,359,104,74,2195,4,"legend","data","data preparation and ETL","desktop_app",[24,25,26,27,28],"etl tool","data preparation","open source bi","data pipeline","csv analysis","curious",-0.012,{"positive":32,"neutral":33,"mixed":34,"critical":35},7,30,2,9,48,{"idea":38,"pricing":41,"design":42,"docs":44,"execution":45,"privacy":46,"performance":47},{"positive":39,"critical":40},3,0,{"positive":40,"critical":40},{"positive":43,"critical":18},1,{"positive":40,"critical":40},{"positive":40,"critical":43},{"positive":40,"critical":34},{"positive":40,"critical":43},[49,39,39,49,39,40,39,39,40,40,40,40,40,39,34,39,39,39,49,43,43,39,40,39,40,43,49,39,39,49,39,43,40,40,40,40,39,43,43,34],5,null,{"problem":52,"audience":63,"pricing":50,"motivation":68,"time_to_build":50,"stack":75,"openness":93,"stage":94,"team_size":95},{"value":53,"source":54,"evidence":55},"Data preparation and ETL is hard for non-technical users","commenter",[56,60],{"id":57,"by":58,"text":59},"20498940","kfk","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…",{"id":61,"by":11,"text":62},"20499001","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…",{"value":64,"source":65,"evidence":66},"Beginners and non-technical users working with data, plus data engineers","maker",[67],{"id":61,"by":11,"text":62},{"value":69,"source":65,"evidence":70},"Make analytics easy, collaborative visual DAG for non-technical users and engineers",[71,74],{"id":72,"by":11,"text":73},"20498815","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…",{"id":61,"by":11,"text":62},[76,82,86],{"value":77,"source":54,"evidence":78},"YAML for pipeline definitions",[79],{"id":80,"by":58,"text":81},"20500721","Interesting enough both ananas here and Alteryx use a declarative approach. Alteryx is using XML and Ananas YAML",{"value":83,"source":65,"evidence":84},"Apache Beam runners",[85],{"id":61,"by":11,"text":62},{"value":87,"source":54,"evidence":88},"Electron desktop app",[89],{"id":90,"by":91,"text":92},"20500064","pimterry","I set up code signing for an electron app relatively recently. Best option I could find was Digicert. Really sucks that this stuff is necessary nowadays and not free, but it's…","open_source","launched","unknown",{"praise":97,"objections":120,"requests":157,"questions":189,"alternatives":215},[98,113],{"value":99,"source":54,"evidence":100},"Looks great and useful for Excel-heavy users",[101,105,109],{"id":102,"by":103,"text":104},"20498811","thoughtpalette","Looks great to me. Nice job shipping!",{"id":106,"by":107,"text":108},"20499676","najarvg","This looks very good and a fit for my end users who deal with excel files all the time. Is there any plans to add Excel as a datasource? Cannot convert to CSV without major pain…",{"id":110,"by":111,"text":112},"20500640","yazan94","This looks really cool! Thanks for sharing, I can't wait to test this",{"value":114,"source":54,"evidence":115},"Declarative YAML approach appealing",[116],{"id":117,"by":118,"text":119},"20507003","ZeroCool2u","The YAML approach seems far more appealing to me honestly, though I'm sure XML was a sane choice at the time.",[121,132,139,146],{"value":122,"source":54,"evidence":123},"Name is hard to pronounce and spell",[124,128],{"id":125,"by":126,"text":127},"20498717","overcast","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…",{"id":129,"by":130,"text":131},"20498908","koolba","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…",{"value":133,"source":54,"evidence":134},"No scheduling yet",[135,136],{"id":57,"by":58,"text":59},{"id":137,"by":11,"text":138},"20499043","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…",{"value":140,"source":54,"evidence":141},"Desktop app not code-signed",[142],{"id":143,"by":144,"text":145},"20499757","nishkalkashyap","I would recommend code-signing the build before distributing.",{"value":147,"source":54,"evidence":148},"Unclear scalability on large files",[149,153],{"id":150,"by":151,"text":152},"20503339","chrsstrm","At what scale has this been tested? As in, are you aware of any data file size limits? I have a csv with ~6M rows and when paging through the docs the \"Exploring your data…",{"id":154,"by":155,"text":156},"20498952","jugg1es","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.",[158,168,178,182],{"value":159,"source":54,"evidence":160},"Python and JavaScript user-defined nodes",[161,164],{"id":162,"by":58,"text":163},"20498808","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…",{"id":165,"by":166,"text":167},"20498859","bhou","We will release a user-defined function with Javascript in next release. Python is on the roadmap too.",{"value":169,"source":54,"evidence":170},"Redshift and more data sources",[171,175],{"id":172,"by":173,"text":174},"20498753","tracer4201","No Redshift support? Hmmm.",{"id":176,"by":166,"text":177},"20498830","It is on our roadmap! We will continue adding more data sources in the following release.",{"value":179,"source":54,"evidence":180},"Excel as data source",[181],{"id":106,"by":107,"text":108},{"value":183,"source":54,"evidence":184},"API GET data source",[185],{"id":186,"by":187,"text":188},"20499114","lucasverra","Can we hook this to an api GET request ? I guess i could API -> download JSON -> Ananas, but you know..:)",[190,201,208],{"value":191,"source":54,"evidence":192},"How does it compare to Metabase and Redash",[193,197],{"id":194,"by":195,"text":196},"20499519","dewey","Pretty similar to https:\u002F\u002Fgithub.com\u002Fgetredash\u002Fredash from a first look. What would you say are the main differences?",{"id":198,"by":199,"text":200},"20501192","mtarnovan","This looks a bit like https:\u002F\u002Fmetabase.com -- anyone used both and can make a comparison?",{"value":202,"source":54,"evidence":203},"Why the pineapple name",[204],{"id":205,"by":206,"text":207},"20499231","eli_gottlieb","Ok, but why did you name it after pineapples?",{"value":209,"source":54,"evidence":210},"What is the business model",[211],{"id":212,"by":213,"text":214},"20507485","pplonski86","What is your business model?",[216,220,224,231,237],{"value":217,"source":54,"evidence":218},"Metabase",[219],{"id":198,"by":199,"text":200},{"value":221,"source":54,"evidence":222},"Redash",[223],{"id":194,"by":195,"text":196},{"value":225,"source":54,"evidence":226},"Talend and Informatica",[227],{"id":228,"by":229,"text":230},"20500588","alienreborn","Probably Informatica or Talend which are two of the most popular Enterprise ETL tools.",{"value":232,"source":54,"evidence":233},"Alteryx",[234],{"id":235,"by":118,"text":236},"20500624","Alteryx would be my guess.",{"value":238,"source":54,"evidence":239},"Meltano and dbt",[240],{"id":241,"by":242,"text":243},"20502047","sails","This is great. Things to keep on your radar: Meltano spun out of Gitlab is working in this domain, I think they are making progress. https:\u002F\u002Fmeltano.com\u002F dbt are building the…",{"comments":245,"answered":35,"key":246},13,[247,248,251],{"id":137,"text":138},{"id":249,"text":250},"20499620","It seems that Redash is a BI tool and close source. Ananas is open source, and can be used not only as a BI tool, but also an ETL tool. More over, you can run your pipeline on…",{"id":252,"text":253},"20499778","Oh, sorry about that, my bad. I just looked through redash home page, but didn't find the open source 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