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Dev tools · July 13, 2021

StreamSets

A single DataOps platform for data engineering

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What it does

Spend your time building data pipelines, enabling self-service, and scaling your business. StreamSets' smart data pipelines eliminate 90% of your break-fix & maintenance time by being resilient to data drift & offering portability without rewrites.

Does the same job

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  • IB
    I built an open-source data pipeline tool in Go2024 · github.com · ▲200

    Every data pipeline job I had to tackle required quite a few components to set up: - One tool to ingest data - Another one to transform it - If you wanted to run Python, set up an orchestrator - If you need to check the data, a data quality tool Let alone this being hard to set up and taking time, it is also pretty high-maintenance. I had to do a lot of infra work, and while this being billable hours for me I didn’t enjoy the work at all. For some parts of it, there were nice solutions like dbt, but in the end for an end-to-end workflow, it didn’t work. That’s why I decided to build an…

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  • BR
    Build Real-Time Data Pipelines with Spark Streamliner2015 · blog.memsql.com · ▲20
  • ST
    SQLMesh – The Future of DataOps2023 · github.com · ▲29

    Hey Show HN! I’m Toby and over the last few months, I’ve been working with a team of engineers from Airbnb, Apple, Google, and Netflix, to simplify developing data pipelines with SQLMesh (https://github.com/TobikoData/sqlmesh). We’re tired of fragile pipelines, untested SQL queries, and expensive staging environments for data. Software engineers have reaped the benefits of DevOps through unit tests, continuous integration, and continuous deployment for years. We felt like it was time for data teams to have the same confidence and efficiency in development as their peers.…

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