Alternatives
Products that do what opti-pipe does
Stop guessing Spark/dbt config values
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I’ve found that I don’t have any context about the data in my pipelines only know if the pipeline is successful or not. So I built panda-patrol which allows you to monitor each node in your DAG, use AI to generate data tests for your data, store data profiles, and more. All with this comes with dashboards and alerts. You can easily drop it into your Python-based data pipeline (i.e. Airflow, Dagster, Prefect, etc.) and just run your pipelines are you normally would — but with monitoring and more context. Hope its valuable to some people
2023 · panda-patrol.vercel.app
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2015 · blog.memsql.com
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Shameless plug for the functionality my team shipped to beta just before Christmas. For context, Forge is Atlassian's product extensibility framework that lets you write your own plugins (for lack of a better word) for our cloud SaaS products: https://developer.atlassian.com/platform/forge/ Coming up in a few weeks from another of my teams will be a feature we call "Dynamic Pipelines" which will let you use a similar Forge lambda function to mutate/generate Bitbucket Pipelines workflows at runtime.
2024 · bitbucket.org
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Hi HN, we’re Anant and Atishay, the co-founders of Zingle, an AI code reviewer for data teams. It automatically checks SQL, dbt, Airflow, and Spark code changes in github PRs for cost regressions, logic issues, data-quality gaps, and downstream breakages before they merge into the production. Here's a demo - https://youtu.be/dS0NnBjG2p4 You can try it on top 100 PRs for free at: https://getzingle.com We built this after managing 60+ dbt PRs per week for an enterprise client. Senior data engineers had very limited time to review PRs, and with AI-assisted coding the…
Nov 2025
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