growthbook VS jitsu

Why did we choose GrowthBook?

I would not adopt a platform that did not support exclusions. I think you should create a marketing page explaining the ways you are superior to the competition. Right now I would pick https://www.growthbook.io/

Seems that no-one mentioned my favorite feature flagging + A/B testing open source tool: https://www.growthbook.io/

Currently have the task of spiking a technical setup for A/B testing within our team application. I've already been looking at Growthbook and react-ab-test, what other tools / sources of info do people normally reach for in their own experience?

What are the differences to Flagr, GrowthBook or Flagsmith?

I work in the marketing analytics field, so I'm not that deep into product (even though I'm dabbling and will jump at the opportunity when one presents itself). Feature flags are being used to roll out experiments. Essentially, you publish code/experiments to the app source code, and based on the flag it shows a control or variant. The flag is fetched from a server and the rollout can easily be disabled if issues crop up. https://www.growthbook.io/ is an open-source tool that seems to be getting a bit of traction.

you may check: https://github.com/jitsucom/jitsu. "Jitsu is an open-source Segment alternative. Fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days"

You can create an API endpoint, and send those JSON to it. In the "destination" part, it can sync to clickhouse (one of many choices, like redshift, snowflake,besides clickhouse) very quickly, and flatten the JSON into columns. If there is new key found in JSON, it will create a new column in clickhouse.

We also have telemetry set up on our Monosi product which is collected through Snowplow,. As with Airbyte, we chose Snowplow because of its open source offering and because of their scalable event ingestion framework. There are other open source options to consider including Jitsu and RudderStack or closed source options like Segment. Since we started building our product with just a CLI offering, we didn’t need a full CDP solution so we chose Snowplow.

Ingestion / Extraction: Airbyte, Singer, Jitsu

Ingestion / ETL: Airbyte, Singer, Jitsu Transformation: dbt Orchestration: Airflow, Dagster Testing: GreatExpectations Observability: Monosi Reverse ETL: Grouparoo, Castled Visualization: Lightdash, Superset

I’m just saying this is better:

We are building Jitsu, (https://github.com/jitsucom/jitsu, https://jitsu.com/) We help companies collect events from their apps, websites, and APIs and send them to databases.

Think of us as an open-source Segment alternative.