I am trying to think of one way it was useful to tell you that, but I can’t.
Seems like you should feel justified in not being a fan of working under this person. What you do with that is hard to say. Sounds like you got to work on a cool project and got to mostly solo it. That’s pretty great for a junior.
Yes, the offline thing is kinda a hurdle to many. The way I'm convincing myself: if I log from multiple devices and backup often, I get some sort of offline partial replication? :D iCloud is great in its partition of user data so the devs don't have access to it, so yes if I were to support auto sync, iCloud would be top of the list. NextCloud is also on the table.
Thank you for the support!
Snowplow started at the same time as Segment (2012) but has evolved along a separate tech tree. Micro-service architecture, cloud native, using Kinesis or Cloud Pub-Sub as the data transit, enrichment framework plus a Confluent-style schema registry supporting very rich and versioned JSON Schema-based event payloads. We are built by and for data platform teams; our open-source behavioral data engine doesn't have a UI (our commercial Behavioral Data Platform does). Hosted trial here https://try.snowplowanalytics.com/
Definitely room for both product families in the market! I'm sure Jitsu will do great.
Looking at Jitsu as a Snowplow familiar person I tried to do a quick browse of their marketing site and couldn’t find anything about their back end architecture. Was immediately thinking that wasn’t the focus here which is concerning when thinking about enterprise scalable data patterns.
Also appreciate you taking the high road “room for both” while the founder of Jitsu says “we are better”
I’ll stick with the product with a solid schema strategy, thank you…
One main feature contributes to that: iMessage/Slack style 'reactions' to messages.
Being able to press down on a message and just respond with a thumbs up really helps with group threads.
Anyone have a sense for what’s happening?