Published on: 2025-06-12 12:50:48
CatBench is a Postgres + PgVector demo application that uses 25k pet photos from a Kaggle dataset for demonstrating how the similarity search features work together with the rest of your application code & schema in the backend (HammerDB Order Entry). The latest version of CatBench has Postgres instance-wide throughput and average query execution latency charts built in now. Previously you were able to navigate around the recommendation engine for Cat Purchases UI, click on cat photos and find
Keywords: activity cat charts plan queries
Find related items on AmazonPublished on: 2025-06-22 03:55:49
PgDog is a transaction pooler and logical replication manager that can shard PostgreSQL. Written in Rust, PgDog is fast, secure and can manage hundreds of databases and hundreds of thousands of connections. Documentation 📘 PgDog documentation can be found here. Any questions? Join our Discord. Quick start Kubernetes Helm chart is here. To install it, run: git clone https://github.com/pgdogdev/helm && \ cd helm && \ helm install -f values.yaml pgdog ./ Docker You can try PgDog quickly usi
Keywords: database databases pgdog postgresql queries
Find related items on AmazonPublished on: 2025-07-01 04:47:19
Google is rolling out its AI Mode search experience to everyone in the US starting today. The chatbot-style addition to the company’s search engine results page is designed to answer longer queries and uses Google’s AI model to generate full responses based on—and linking back to—indexed websites on the open web. AI Mode is Google’s direct response to the release of search engines from Silicon Valley startups like OpenAI and Perplexity, which provide chatbot-style answers to questions and queri
Keywords: ai google mode queries search
Find related items on AmazonPublished on: 2025-07-19 05:32:15
Introducing QueryHub We're excited to unveil QueryHub, an innovative AI-powered platform designed to transform how you interact with your databases and skyrocket productivity. 🚀 The Challenge We're Addressing In today's data-driven world, developers and businesses face several hurdles: Complex SQL query writing Time-consuming database analysis Difficulty extracting meaningful insights from data Limited access to database expertise QueryHub tackles these challenges head-on, offering a sop
Keywords: ai data database queries queryhub
Find related items on AmazonPublished on: 2025-08-10 10:04:41
This is the second part of the series. Here's more of what I've learned from operating petabyte-scale ClickHouse clusters for the last 5+ years. This is the second part of this series. You can read the first one here . Handling load This section is mostly about reads. I talked about ingestion in the previous post, and while reads and writes could use the same resources, I'm going to focus on reads in isolation, as if you only had reads. Well, I lied. Because I'm going to start by telling you
Keywords: need queries query table use
Find related items on AmazonPublished on: 2025-10-22 07:04:19
With so much traffic on the global Internet day after day, it’s not always easy to spot the occasional irregularity. After all, there are numerous layers of complexity that go into the serving of webpages, with multiple companies, agencies, and organizations each playing a role. That’s why when something does catch our attention, it’s important that various entities work together to explore the cause and, more importantly, try to identify whether it’s a malicious actor at work, a glitch in the
Keywords: com names queries query root
Find related items on AmazonPublished on: 2025-10-26 04:57:46
1. The DataFrame scale gap When I started working on Polars, I was surprised how much DataFrame implementations differed from SQL and databases. SQL could run anywhere 1. It could run embedded, on a client server model, or on full OLAP data warehouses. Whereas for dataframes, the API was different per use case and performance was drastically lacking behind SQL solutions. Locally, pandas was dominant, and remotely/distributed, it was PySpark. For end-users, pandas was very easy to get up and ru
Keywords: cloud polars queries query run
Find related items on AmazonPublished on: 2025-11-07 18:16:54
Edgar Cervantes / Android Authority TL;DR Google is adding an AI-powered feature to the Play Store that can answer your app-related queries. The feature adds a new section to app listings with a text field for custom queries and several sample queries. It’s currently available for a few users and only appears on select app listings. Google is implementing a cool new feature on the Play Store that uses AI to answer any questions you may have about an app. We first spotted the in-development f
Keywords: app feature listings play queries
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