Every blog post that took off on Hacker News, ranked by the votes of its best submission. 4,225 posts.
Every monitoring system has to deal with three kinds of performance-related challenges. Firstly, a good monitoring system must receive, process and record incoming data very quickly. Every microsecond counts here. This may not seem obvious from the start but when your system becomes large enough all the tiny fractions…
Citus gives you all the greatness of Postgres plus the superpowers of distributed tables. By distributing your data and queries, your application gets high performance—at any scale. The Citus database is available as open source and as a managed service on Azure.
In a previous post, I showed how Kafka can be used as the persistent storage for an embedded key-value store, called KCache. Once you have a key-value store, it can be used as the basis for other m…
While Full-text-search is famous for search through documents at a faster rate, there are other interesting ways in which these systems handle scale, synonyms, abbreviations, misspellings etc., we will
Read the post on "Introducing Irmin: Git-like distributed, branchable storage" from our blog.
Kristoffer over at rpsychologist.com wrote a really nice tutorial on getting up to speed with maps in R. It looked something like this.
Today we are announcing the preview release of Queryable Encryption which allows customers to encrypt sensitive data from the client side, store it as fully randomized encrypted data on the database server side, and run expressive queries on the encrypted data. Learn more.
After a decade in observability, one question kept coming back: how much of your data is waste?
CQRS (Command Query Responsibility Segregation) is the notion that you can use a different model to update information than the model you use to read information
Introduction Readyset is designed to serve queries from cached views with sub-millisecond latency. This post focuses on the cold path—cases where a cache miss forces execution against the base tables. In these scenari...
Recapping the criticisms made about MongoDB.
Cloudera Blog is your source for expert guidance on the latest data and AI trends, technology innovation, best practices, success stories, and more.
Citus gives you all the greatness of Postgres plus the superpowers of distributed tables. By distributing your data and queries, your application gets high performance—at any scale. The Citus database is available as open source and as a managed service on Azure.
Databases shed important RDMS features as they get big. Examining why this tends to be the case, and some ideas for preventing it.
Confluent is building the foundational platform for data in motion so any organization can innovate and win in a digital-first world.
No single cloud fits all. Explore how we build a more flexible future with hybrid cloud.
I recommend using Python for data analysis, and I recommend Wes McKinney's book Python for Data Analysis. I prefer Python to R for mathematical computing because mathematical computing doesn't exist in a vacuum; there's always other stuff to do. I find doing mathematical programming in a general-purpose language is…
How we built a 40x faster hash joiner using vectorized execution.
PostgreSQL always allowed, by default, any user to connect to any database, and create new tables (and views, and so on) in “public" schema. The one that is created by default.
Actionable steps on how to improve your Postgres database performance.
Three common ways data visualizations can mislead.
When I joined CloudFlare about 18 months ago, we had just started to build out our new Data Platform. At that point, the log processing and analytics pipeline built in the early days of the company had reached its limits.
There is a better way to explore and analyze time-series data with PostgreSQL: hyperfunctions. Learn how to ease your workload with faster and simpler data.
Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More...
