slap_shot, I agree and as I disclaimer I also work at GitLab. There is no shortage of data tools in the space today. A majority of my career has been spent in the data & analytics space and I've talked / worked with at least 60% of the companies you mentioned. At the end of the day, these are the questions I've asked over and over again.
1. Do we have enough money / budget for a tool like this?
2. Can we derive enough insights from this product fast enough to make a good ROI?
3. Does this tool use a proprietary language that no one wants to learn or can I code in a language that is relevant?
4. In all honesty, can I get insights faster in a spreadsheet than these tools?
5. What is the learning curve?
6. Can I answer the business question that was originally asked?
Open to more discussions around the topic as it is a lot harder to answer than a few philosophical questions, but it certainly resonates with many data & analytics professionals. A nice goal would be to have project where you can stand up a business, turn your data pipelines on, ingest the data, and view the insights needed to make a business decision all within a short timeframe of when a business goes live.
Extraction/Loading Dell Boomi SAP SAS Pentaho Domo Oracle IBM Microsoft Informatica Talend JitterBit SnapLogic Mulesoft SyncSort Information Builders Actian Attunity Datameer Alteryx Striim Treasure Data Cask StreamSets Snowplow DataTorrent Astronomer Panoply Apache Nifi Stitch Data FlyData Bedrock Data Alooma ETLeap Fivetran Xplenty MethodMill Celigo TerraSky DBSync Youredi Scribe Civis Analytics DataScience Dataloader.io datorama Astera
Analyze Microsostrategy GoodData Sisense Looker Power BI Wagon Birst Tableau Qlik Domo Hue Mode Chartio Periscope Pentaho
The amount of hype and BS in the Notebook space would require me to spend some time combing through that again.