iguazio (Cool Vendors in Data Management) solves a pervasive problem of unifying different data workloads and data types — records, streams, objects and files — all within the same high-performance engine.
iguazio (Cool Vendors in Data Management) solves a pervasive problem of unifying different data workloads and data types — records, streams, objects and files — all within the same high-performance engine.
In this episode of Conversations in the Cloud, Yaron Haviv, Founder and CTO at iguazio discusses cloud native serverless processing with continuous analytics. iguazio tackles real-time big data processing by using continuous analytics to ingest, enrich, and analyze data, while simultaneously serving it to/from the same data repository.
Sentiment around containers often sounds like: “Oh, here’s my lightweight VM that happens to be called a Docker container, and I’m going to give it volume, and I’m going to create snapshots on that volume, and all that stuff,” Haviv stated.
According to iguazio co-founder and CTO Yaron Haviv, the platform can deliver 2 million transactions per second, with an average of 100 microsecond latency on 99% of transactions.
We continue to see opportunities for iguazio driven by its ability to reduce the complexity of deploying multiple data processing technologies.
We need a new type of edge, one that is capable of processing data in real-time, rather than simply caching it. And for that processing to be effective, this edge requires ample context with richer historical data and a wider “perspective.”