Top all-time · #10955
Iguazio
Company blog · iguazio.com/blogaidata
Iguazio is the company blog at iguazio.com, writing about ai and data. Since 2017, 7 different Hacker News readers have linked it 20 times, most often “Data Science in the Post Hadoop Era”. It is still writing: the last post was on 2026-02-18, and you can follow it by feed.
Too few sampled comments (3) to say how often HN recommends it.?
Why HN links it
Company blog posts linked as bare references: a post on moving beyond Hadoop for data science, a VMware-on-AWS comparison, and a glossary entry on LLM temperature. Comments do not judge the writing.
Summarised by Claude from a sample of 3 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
The Iguazio AI platform operationalizes and de-risks ML & gen AI applications at scale. Turn your AI projects into real business impact.
Most-linked posts?
- Data Science in the Post Hadoop Era2 people · 2 mentions · first linked 2019-06-19
What Hacker News says?
Who still uses Hadoop anyway? https://spark.apache.org/ https://www.iguazio.com/data-science-post-hadoop/
Comment linking /data-science-post-hadoop/
on “The sad state of sysadmin in the age of containers (2015)”Submitted Introducing Nuclio: A scalable, open source, real-time processing platform as a story · 36 points
HN discussionHeads up: The link about Amazon & VMware should be https://www.iguazio.com/vmware-on-aws-a-scorecard-for-winner...
Comment linking /vmware-on-aws-a-scorecard-for-winners-and-losers/
on “Cutting cluster management fees on Google Kubernetes Engine”Submitted Accelerating ML Deployment in Hybrid Environments as a story · 3 points
HN discussionI suspect it has something to do with this snippet of code, which sets the amount of randomness in the output via "Temperature"[1] temperature = 0.999 [1] https://www.iguazio.com/glossary/llm-temperature
Comment linking /glossary/llm-temperature
on “Claude 3 Opus has an issue – Repeats same response over and over”Submitted Data Science in the Post Hadoop Era as a story · 3 points
HN discussionSubmitted What Are Feature Stores and Why Are They Critical for Scaling Data Science? as a story · 2 points
HN discussionSubmitted Introduction to TF Serving as a story · 2 points
HN discussionSubmitted MLOps for Python: Real-Time Feature Analysis as a story · 2 points
HN discussionSubmitted What Are Feature Stores and Why Are They Critical for Scaling Data Science? as a story · 2 points
HN discussionSubmitted Paving the Data Science Dirt Road as a story · 2 points
HN discussionSubmitted Real-Time Streaming for Data Science as a story · 2 points
HN discussionSubmitted Using Automated Model Management for CPG Trade Success as a story · 1 points
HN discussionSubmitted The Easiest Way to Track Data Science Experiments with MLRun as a story · 1 points
HN discussionSubmitted Breaking the Silos Between Data Scientists and DevOps with New MLOps Practices as a story · 1 points
HN discussionSubmitted Git-Based CI / CD for Machine Learning and MLOps as a story · 1 points
HN discussionSubmitted Data Science Solutions for Real-World Problems as a story · 1 points
HN discussionSubmitted Concept Drift and the Impact of Covid-19 on Data Science as a story · 1 points
HN discussionSubmitted Horovod for Deep Learning on a GPU Cluster as a story · 1 points
HN discussionSubmitted VMworld 2017: VMware Feeds Off OpenStack Decay as a story · 1 points
HN discussion