There's been much focus on MongoDB, Elastic and Redis in terms of data exposure on the Internet due to their general popularity in the developer community. However, in terms of data volume it turns out that HDFS is the real juggernaut. To give you a better idea here's a quick
Data science as a cargo cult
Because Citus is an extension to PostgreSQL and not a fork, the effort required to remain compatible with the latest versions of the open source PostgreSQL database has been dramatically reduced. After a new PostgreSQL version is released, Citus packages are often updated and in sync within days.
Safety gives security teams real-time visibility and governance over every AI tool, package, MCP server, and IDE extension across their developer fleet.
Prior to the release of the Mozilla Observatory a year ago, I ran a scan of the Alexa Top 1M websites. Despite being available for years, the usage rates of ...
Distributed transactions are one of the meanest, baddest problems in relational databases. This post explains why distributed transactions are hard and how the Citus database supports distributed transactions by employing features like distributed deadlock detection, 2PC, and streaming replication in Postgres.
Summary: This post addresses some high-level questions like: Longer term, how much of the verification of Intelligent Autonomous Systems can be done with just Machine Learning (ML)? Should most req…
In the TrueNAS blog, discover the latest in scalable data storage solutions. Stay updated on the latest innovations in TrueNAS technology.
Mapillary Vistas, the world’s largest and most diverse publicly available, pixel-accurately and instance-specifically annotated street-level imagery dataset, will empower autonomous mobility and transport at the global scale.
Making decision despite missing SQL data (NULL): How to avoid OR…IS NULL in the WHERE clause.
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This blog post outlines how CockroachDB executes queries and shares Cockroach Labs' vision for future work on distributed processing.
Hi. I’m a former developer who’s moved into database administration, and here’s what I wish somebody would have told me when I got started. 7. SQL functions rarely perform well. Good developers like to reuse code by putting it into functions, and then calling those functions from multiple places. That’s a great…
At Citus we make it simple to shard PostgreSQL. So we’ve thought a lot about different data models for sharding. This post covers 5 different data models for sharding, from sharding by tenant (multi-tenant data models), sharding by geography, sharding by entity id, sharding a graph, and time-based partitioning.
Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More...
Note: This post and our new engineering blog can be found at lumi.dev
This blog post is about the ACL 2017 paper Get To The Point: Summarization with Pointer-Generator Networks by Abigail See, Peter J Liu, and Christopher Manni...
The PostgreSQL Global Development Group announces today that the fourth beta release of PostgreSQL 10 is available for download. This …
A San Diego State journalism professor shares her experience with “First Python Notebook”
In this post, I’m going to show benchmark results of the recently released PostgreSQL 10.1. I’ve benchmarked the DB on these OSes (all are 64-bit):
As such, there’s really no “standard” benchmark that will inform you about the best technology to use for your application. Only your requirements, your data, and your infrastructure can tell you what you need to know.
