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In S3 simplicity is table stakes
From simple object storage to sophisticated table management, builders have always shaped S3's evolution. Andy Warfield discusses why making complex systems simple remains our north star at AWS.
Topics /
Databases & Data
The most popular blog posts about databases & data on Hacker News. 4,224 posts.
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The end of big data
Databricks, Snowflake, and the end of an overhyped era.
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Scaling our observability platform by embracing wide events and replacing OTel
Read how we scaled our observability platform from 19PB to 100PB and 500 trillion rows by replacing OpenTelemetry with a native ClickHouse-to-ClickHouse pipeline, embracing wide events and cutting CPU usage by 90%.
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The False Allure of Hashing for Anonymization
Why using cryptographic hashes doesn't make data anonymous.
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Please stop calling databases CP or AP
This blog post has been translated into Russian , Japanese , Chinese , and Chinese again . For more detail on problems with CAP, and a proposal for an alternative, please see my paper A Critique of the CAP Theorem .
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Timescale Cloud: Multi-cloud, fully-managed time-series in AWS, Azure, and GCP
Fully managed PostgreSQL from the creators of TimescaleDB. 99.9% uptime SLA, 10,000+ IOPS, columnar compression up to 95%, and built-in search. Try it free.
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What Is a Knowledge Graph?
What is a knowledge graph? Learn about nodes, relationships, organizing principles, and ontologies, which comprise a knowledge graph.
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Hash indexes are faster than btree indexes?
PostgreSQL have supported Hash Index for a long time, but they are not much used in production mainly because they are not durable. Now, ...
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MySQL Challenge: 100k Connections
It's not beyond possibility to set up MySQL to achieve 100,000 concurrent connections if you balance network config and use thread pools. By Vadim Tkachenko
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Natural Language Processing: The Age of Transformers
This article is the first installment of a two-post series on Building a machine reading comprehension system using the latest advances in deep learning for NLP.
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Redict 7.3.0, a copyleft fork of Redis, is now available
The Redict community is pleased to announce the release of Redict 7.3.0, the first stable version of our copyleft fork of Redis® OSS 7.2.4.1 You can download the release on Codeberg, or download one of our official container images from registry.redict.io. We have written comprehensive documentation detailing our…
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Implementing State Machines in PostgreSQL
Finite-state machine (FSM) is a wonderful model of computation that has many practical applications. One of my favorites is turning business logic into simple FSMs. For example consider the following requirements for an order management system:
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Amazon S3 now supports the ability to append data to an object
Discover more about what's new at AWS with Amazon S3 Express One Zone now supports the ability to append data to an object
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Averages Can Be Misleading: Try a Percentile (2014)
With the release of Elasticsearch 1.1.0, there is a new metric aggregation available to users: the Percentile metric. Percentiles tell you the value at which a certain percentage of your data is incl...
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Shareable Jupyter Notebooks That Run on Free Cloud GPUs
Gradient Community Notebooks provide free GPUs with pre-configured environments for machine learning and deep learning projects.
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Machine Learning in Google Bigquery
Posted by Umar Syed and Sergei Vassilvitskii, Research Scientists, Google AI, NYC Google BigQuery allows interactive analysis of large datasets, ma...
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Supabase Vault
Today we're announcing Vault, a Postgres extension for managing secrets and encryption inside your database.
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Loading CSV File at the Speed Limit of the NVMe Storage
I plan to write a series of articles to discuss some simple but not embarrassingly parallel algorithms. These will have practical usages and would most likely be on many-core CPUs or CUDA GPUs. Today’s is the first one to discuss a parallel algorithm implementation for CSV file parser.
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How We Built a Cost-Based SQL Optimizer
CockroachDB 2.1 includes a brand-new, built-from-scratch, cost-based SQL optimizer. This post explains what a cost-based SQL optimizer is, and tells the story of how we decided we really, really needed one.
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Python Polars Cheatsheet (based on our O'Reilly book)
Quick reference guide for transforming, analyzing, and visualizing data with Python Polars.
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