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, Infoworks.io should be more popular than Qlik. It has been mentiond 4 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: almost 3 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
All files was pulled into a program called : QLIK, qlik.com is the company and my company uses it for our reporting and our customer's reporting needs. Source: about 3 years ago
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