Congrats on your launch, and looks really exciting! I'm curious how this compares to tools like Snowplow [1]? I guess Jitsu comes with more sources and destinations out of the box?
Snowplow CEO here. We haven't used Jitsu before but are very familiar with Segment. It looks like Jitsu sits in the Segment product family, along with Rudderstack: basically a Customer Data Platform bundle of simple JSON event tracking, Fivetran-style transactional/SaaS data ingest, and then relaying of data out to various SaaS endpoints plus cloud DWs.
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…
Essentially we're doing same thing. But we build Jitsu to be as simple as possible: you don't need to setup multiple services (just one Docker service!), data goes to DWH almost instantly. And we can pull data from more that 100 external APIs
alexdean|4 years ago
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.
myowz|4 years ago
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…
vklmn|4 years ago
Think of us as Snowplow 2.0 )