TAGGED BLOG LIST
All Posts With Tag: Hydrolix overview
Clean your data quickly
Data are complicated, Hydrolix helps clean up your data before ingesting it.
Monitoring query performance
In the previous blog post eating our own logs we saw how Hydrolix cluster is indexing its own logs. Our logs contains lots of very useful information, in this blog… Continue reading Monitoring query performance
Eating our own logs
Monitoring complex application deployed via Kubernetes can be a challenge especially when the application uses a large number of components. The Hydrolix platform is designed to make log processing and… Continue reading Eating our own logs
When Append-Only Doesn’t Cut It
Alter is a new mechanism at Hydrolix allowing user to modify and delete indexed data.
When alter is running it has no impact on performance for users with our decouple approach.
Alter is safer than any other approach as we can rollback or commit the change in an atomic way with our cloud storage approach creating new partition is free.
Using Hydrolix with VSCode
On top of being a great code editor, Visual Studio Code (VSCode) has a great ecosystem with various plugins allowing users to automate many different tasks. Hydrolix being a fully… Continue reading Using Hydrolix with VSCode
Hydrolix from Zero to Ingest
As I recently joined Hydrolix, literally three days ago, I wanted to share my experience from not knowing the product to starting to use it very quickly. Step 1: Understand… Continue reading Hydrolix from Zero to Ingest
Hydrolix 18x Faster than Elasticsearch
Mark Litwintschik, consultant, tech author and prolific benchmarker of databases, ran Hydrolix through its paces recently and published the results on his blog. Starting with a data set of 1.1… Continue reading Hydrolix 18x Faster than Elasticsearch
Hydrolix: a Low Cost, High- Performance Data Lakehouse
At our last company, my co-founder and I saw our data volumes grow to over 15 billion transaction logs a day. As our infrastructure costs went through the roof, we… Continue reading Hydrolix: a Low Cost, High- Performance Data Lakehouse