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Dbt Labs acquires SDF Labs
dbt Labs has acquired SDF Labs to enhance analytics engineering solutions. Learn how this partnership strengthens the modern data stack.
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Selective async commits in PostgreSQL – balancing durability and performance
Safely leverage PostgreSQL's asynchronous commit for significant performance gains
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Data engineering and software engineering are converging
The official JS client for connecting to ClickHouse.
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I solved a distributed queue problem after 15 years
Learn how queues make horizontal scaling, scheduling, and flow control easier in cloud systems, and how to make them durable and observable.
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Representing Python notebooks as dataflow graphs
How and why marimo represents notebooks as dataflow graphs
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OpenTelemetry protocol with Apache Arrow
We are excited to announce the next phase of the OpenTelemetry Protocol with Apache Arrow project (OTel-Arrow). We began this project several years ago with the goal of bridging between OpenTelemetry data and the Apache Arrow ecosystem. Apache Arrow is a framework designed for zero-copy exchange of structured data…
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How NASA Is Using Graph Technology and LLMs to Build a People Knowledge Graph
Missed NASA’s People Graph webinar? Catch the recap and see how graph technology and AI are shaping the future of workforce intelligence.
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SQLite (with WAL) doesn't do `fsync` on each commit under default settings
SQLite doesn’t do fsync unless specified.
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The Evaporative Cooling Effect in Social Networks (2010)
http://blog.bumblebeelabs.com/social-software-sundays-2-the-evaporative-cooling-effect/
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Keeping our free tier sustainable by preventing abuse
A free tier allows people to try a SaaS without paying first, but it opens up the service to bad actors. Here's how we balance preventing bad actors while still supporting legitimate users.
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ClickHouse vs PostgreSQL UPDATE performance comparison
See how ClickHouse’s update speed stacks up against PostgreSQL on the same data and hardware.
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MySQL at Uber
At Uber, our MySQL® fleet is the backbone of our data infrastructure, supporting a vast array of operations critical to our platform. Uber operates an extensive MySQL fleet, consisting of over 2,300 independent clusters. Building a control plane to manage this fleet at such a massive scale, while ensuring zero…
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Replacing EBS and Rethinking Postgres Storage from First Principles
Fluid Storage reimagines block storage like EBS with zero-copy forks, true elasticity, and sync replication. Built for the age of agents.
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Derivation and Intuition behind Poisson distribution
Made in Notion, the connected workspace where AI agents and teams organize docs, projects and knowledge together.
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Apache Iceberg now supports geospatial data types natively
Apache Iceberg and Parquet now support native geospatial types, connecting Wherobots, PostGIS, Sedona, Databricks, and Snowflake to one table format.
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Weighting an average to minimize variance
How would you allocate money to a set of independent assets with to minimize volatility if some assets are more volatile than others?
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Using the expand and contract pattern for schema changes
In this article, we introduce the expand and contract pattern to help migrate data and clients to a new schema.
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Extending That XOR Trick to Billions of Rows
Learn how to extend the classic XOR trick to find thousands of missing values using Invertible Bloom Filters
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SQLite transactions and virtual tables
In my previous post I introduced SQL virtual tables and how to use them in Go—registering modules per connection, defining schemas, and querying external sources as regular tables.
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Wrong ways to use the databases, when the pendulum swung too far
Disclaimer: This story took place when I was a junior developer for a previous employer ages ago. Some details might be fuzzy, and goes without saying this is entirely from my own POV so take everything here with humor and a grain of salt.
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Tracing Military Command Chains Through Time and Location
Case Study ⸺ Using novel technology to analyze groundbreaking chain of command research
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Building agents using streaming SQL queries
Table of Contents Agents Need to Interact With LLMs Agents Should Be Event-Driven Agents Need Context Agents Require Memory When SQL Is Not Enough Parting Thoughts AI Agents have improved in leaps …
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How/why to sweep async tasks under a Postgres table
I like slim and stupid servers, where each endpoint wraps a very dumb DB query. Dumb queries are fast. Fast queries make websites smooth and snappy. Keep those click/render loops sacred. Sweep complexity under a task table.
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Using watermarks to coordinate change data capture in Postgres
Explore the challenges of building a change data capture (CDC) pipeline for Postgres. And see how Sequin used a watermark design inspired by Netflix's DBLog.
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Writing a storage engine for Postgres: An in-memory table access method (2023)
Writing a storage engine for Postgres: an in-memory Table Access Method
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AA-Omniscience v1.1: Knowledge and Hallucination Benchmark
Compare AI model performance on AA-Omniscience v1.1: Knowledge and Hallucination Benchmark. A benchmark measuring factual recall and hallucination across various economically relevant domains.