Infoworks eliminates big data complexity by automating data engineering through the company’s Autonomous Data Engine, which has been adopted by some of the largest enterprises in the world. Using a code-free environment, Infoworks allows organizations to quickly create and manage data use cases from source to consumption. Customers deploy projects to production within days, dramatically increasing analytics agility and time to value.
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Based on our record, Meltano should be more popular than Infoworks.io. It has been mentiond 26 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
You should check out infoworks.io - they have this concept of domains which can restrict data sets and the users that can do any transformations on it. They have a full airflow based visual orchestration engine as well as scheduler, transformation engine, ingestion, cataloging, etc. It's an end to end unified data engineering product. Source: over 2 years ago
For a simpler no-code visual config-driven (data ingest+ ELT+ airflow-based orchestration), all in a single unified platform, you may consider infoworks.io. It will even auto create a metadata catalog for you and give you lineage, audit capabilities. Source: almost 3 years ago
As long as you're truly after a lo/no-code solution that can automate your data onboarding (beyond ingestion), you'd be amiss to not try infoworks.io. Source: almost 3 years ago
I'm alerted to another vendor, infoworks.io, that offers a unified data engineering solution. I took their free personal testdrive. I learned that they have large number of source connectors (I think I read 200+), Spark based transformation engine, and visual workflow based on airflow. Source: almost 3 years ago
Hey HN, Arch CEO here! Our team has been working at the intersection of data engineering and software engineering for a few years now with Meltano (https://meltano.com), and this year, the rise in Generative AI has made it clear that the bottleneck in unlocking the potential value of data has shifted from data integration on data teams to data engineering on software teams, so we’ve decided to do something about... - Source: Hacker News / 6 months ago
We use Meltano for (EL) and Prefect for scheduling. Is not click-ops, but works very well for us! Behind the scenes Meltano wraps up Singer spec similarly like Airbyte does with its connectors. Before that we tried Airbyte (~5 months ago?) and it was so bad.. We could not choose the columns to replicate and the connectors were unstable i.e. Skipping data, all sort of odd errors and so on.. Source: 11 months ago
Meltano's all-remote team and community of thousands are on a mission to enable everyone to realize the full potential of their data. To this end, we are bringing software engineering best practices to data teams in the form of an open-source DataOps platform that we envision becoming the foundation of every team's ideal data stack. Our public company handbook (https://handbook.meltano.com/) has all the details on... - Source: Hacker News / 12 months ago
Meltano | Full-Time | Remote | https://meltano.com Meltano's all-remote team and community of thousands are on a mission to enable everyone to realize the full potential of their data. To this end, we are bringing software engineering best practices to data teams in the form of an open-source DataOps platform that we envision becoming the foundation of every team's ideal data stack. Our public company handbook... - Source: Hacker News / about 1 year ago
We switched from AWS Glue to Meltano for the EL part of ELT and it's been a joy to use. We're moving so much faster now. Source: about 1 year ago
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