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Postgres

Adopt

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An open-source relational database used to persist scan results.

Why it's here

Placed in Adopt: 27 article(s) of evidence from 6 source(s), led by research-stage coverage, with 15 in the last 30 days. Confidence 100%.

Evidence (20)

  • 5Simon Willison·8/12/2026open_source
    Alchemy Utils 0.1a0 brings SQLite-utils style APIs to multiple databases

    Simon Willison released an alpha of alchemy-utils, a new database-agnostic library and CLI inspired by sqlite-utils. The project uses SQLAlchemy to support multiple engines, including PostgreSQL, SQLite, and DuckDB, while preserving familiar methods such as insert, upsert, create, update, and table introspection.

  • 7The New Stack·8/11/2026funding
    Databricks acquires Electric to add per-agent Postgres databases

    Databricks is acquiring Electric, the company behind PGlite and the Electric sync engine, to support agentic applications that create and branch databases more frequently. Electric’s open-source projects will remain open source, but its hosted Electric Cloud service is being wound down and customers will need to self-host or switch providers.

  • 6Hacker News·8/10/2026open_source
    How CDC Was Pushed into Postgres

    The article describes a technical approach for implementing change data capture (CDC) directly with PostgreSQL. It focuses on how the system was adapted to stream database changes efficiently without relying on an external CDC pipeline.

  • 8Hacker News·8/7/2026breakthrough
    pgrust claims major analytics speedups with batching and SIMD

    The pgrust team released version 0.2 and says it is 10x faster than the previous release, with up to 300x faster results than Postgres on Clickbench. The post attributes much of the gain to a redesigned query engine using batching, operator fusion, and SIMD to reduce CPU and memory overhead.

  • 6The New Stack·8/4/2026product_launch
    YugabyteDB AMP targets AI agent database sprawl

    Yugabyte has launched YugabyteDB AMP, a serverless PostgreSQL tier built for environments where hundreds or thousands of AI agents may each need their own isolated database. The product combines multitenancy, zero-scale idle behavior, and built-in agents for provisioning, migration, performance diagnosis, and ecosystem integration.

  • 6Hacker News·8/3/2026research
    Andy Pavlo joins ClickHouse to launch ClickHouse Labs

    Database researcher Andy Pavlo is joining ClickHouse to create and lead a new research group, ClickHouse Labs. The team will work closely with ClickHouse engineering and PostgreSQL efforts to advance database research and turn validated ideas into production technology.

  • 6The New Stack·7/29/2026funding
    Modus exits stealth with context warehouse for AI agents

    Modus has exited stealth with $10 million in funding and a product it describes as a context warehouse for AI agents. The system continuously crawls company tools and data sources, then generates task-specific context so agents receive only the relevant information they need, helping reduce token usage and keep context current as the business changes.

  • 3Hacker News·7/27/2026open_source
    PGSimCity visualizes how PostgreSQL works

    PGSimCity is an early prototype that models the PostgreSQL engine as a city-like simulation to explain how it works. The project is explicitly unreviewed and may contain inaccuracies, and it invites users to report issues or contribute fixes.

  • 6Hacker News·7/24/2026research
    Postgres LISTEN/NOTIFY can scale with the right design

    A blog post argues that Postgres LISTEN/NOTIFY is often misunderstood: its poor reputation comes from a global lock and commit-order guarantees, not from an inherent inability to scale. By changing the stream design, the author reports reaching 60K writes per second on a single Postgres server with millisecond latency.

  • 4Hacker News·7/22/2026research
    Startup Postgres Survival Guide

    This article is an internal-to-public guide on running Postgres reliably in a startup environment, covering schema design, read and write query patterns, joins, indexes, migrations, connection management, autovacuum, and advanced operations like FOR UPDATE SKIP LOCKED and partitioning. It emphasizes practical lessons learned from production incidents and tradeoffs that become important as data volume grows.

  • 3Hacker News·7/22/2026product_launch
    Late.sh: a command-line clubhouse for developers

    Late.sh is a community platform accessed over SSH that combines chat, profiles, shared art, games, and live demo browsing in a terminal-first experience. It uses SSH keys for identity instead of passwords or OAuth, and stores only key fingerprints for privacy.

  • 4The New Stack·7/21/2026framework_update
    Kubernetes Makes App Deployment Easier, but Databases Remain Hard to Operate

    The article argues that Kubernetes has simplified application deployment, but database operations still require specialized expertise that most application teams should not be expected to handle directly. It highlights the need for platform engineering and automation to manage provisioning, backups, patching, monitoring, and failover for services like Postgres, Redis, and OpenSearch.

  • 4Hacker News·7/16/2026open_source
    Homescale aims to clone PlanetScale-style database branching at home

    The article introduces Homescale, an open-source project that creates writable database instances and point-in-time branches from immutable snapshots without copying the full database. It borrows a Docker-like image/container model and starts with Postgres, while keeping the storage layer abstract enough to support other engines through adapters.

  • 6Hacker News·7/16/2026research
    How 768 servers can appear as one database

    The article explains how relational databases such as Postgres can scale from a single server to hundreds of servers by using read replicas and, ultimately, database sharding. It highlights the main limits of vertical scaling and replication, especially write bottlenecks and data capacity constraints, and describes sharding as the path to handling petabyte-scale workloads.

  • 6InfoQ·7/15/2026research
    Using PostgreSQL as the Foundation for Enterprise AI Agents

    Gwen Shapira describes how teams are using PostgreSQL to support production AI features in mission-critical applications. The presentation highlights multi-modal patterns such as JSONB parsing, HNSW vector indexing, vector quantization, and agent memory management to provide both deterministic and semantic context to LLMs.

  • 7Hacker News·7/11/2026research
    PgBouncer fleet scales Postgres pooling to 4x throughput

    ClickHouse Managed Postgres describes running multiple PgBouncer processes behind one endpoint using so_reuseport and peering to spread connection pooling across CPU cores. In identical EC2 tests, the multi-process setup reached about 4x the throughput of a single PgBouncer process while preserving query cancellation and connection limits.

  • 8Hacker News·7/9/2026open_source
    Rust Reimplementation of Postgres Passes All Regression Tests

    A project on GitHub reports a Postgres reimplementation written in Rust that now passes 100% of the PostgreSQL regression test suite. The milestone suggests substantial functional compatibility, though it does not by itself establish production readiness or performance parity with upstream PostgreSQL.

  • 5InfoQ·7/7/2026breakthrough
    Momentic Moves Caching from PostgreSQL to ClickHouse

    Momentic reworked its caching architecture for an AI-driven software testing platform to support more than 2 million queries per day across 20 billion entries. The company switched from PostgreSQL to ClickHouse to improve performance and scalability while keeping average response latency around 250 ms.

  • 6Hacker News·7/7/2026open_source
    PgDog adds Postgres pooling that preserves session features

    PgDog, a proxy for scaling Postgres, introduces connection pooling designed to reduce the usual trade-offs of poolers like PgBouncer and RDS Proxy. It can detect and replay SET state, and it also supports LISTEN/NOTIFY across clients and multiple PgDog processes while preserving Postgres semantics.

  • 4Hacker News·7/6/2026open_source
    Why some teams can stay on Postgres

    The article argues that many applications add Redis, Elasticsearch, Kafka, MongoDB, and other systems before proving Postgres is insufficient. It recommends using Postgres features such as JSONB, tsvector, SKIP LOCKED, pgvector, and PostGIS first, and adding specialized infrastructure only when the operational tradeoff is justified.