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BigQuery is 5x bigger than Snowflake and Databricks: What Google is doing to make it even better

Source: venturebeat.com | By Sean Michael Kerner

Published on: 2025-04-21 15:37:56

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Google Cloud announced a significant number of new features at its Google Cloud Next event last week, with at least 229 new announcements. Buried in that mountain of news, which included new AI chips and agentic AI capabilities, as well as database updates, Google Cloud also made some big moves with its BigQuery data warehouse service. Among the new capabilities is Big

Keywords: ai bigquery business data google

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Query Engines: Push vs. Pull (2021)

Source: news.ycombinator.com | By Unknown

Published on: 2025-04-21 03:15:59

Query Engines: Push vs. Pull 26 Apr 2021 People talk a lot about “pull” vs. “push” based query engines, and it’s pretty obvious what that means colloquially, but some of the details can be a bit hard to figure out. Important people clearly have thought hard about this distinction, judging by this paragraph from Snowflake’s Sigmod paper: Push-based execution refers to the fact that relational operators push their results to their downstream operators, rather than waiting for these operators t

Keywords: balance based firstname push query

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The API Churn/Security Trade-Off (2016)

Source: news.ycombinator.com | By Carson Gross

Published on: 2025-04-22 06:25:25

TLDR: Heavy client-side logic requires a trade off between API churn or an increasingly complex security model The Problem A recent article by Jean-Jacques Dubray, Why I No Longer Use MVC Frameworks sparked a long and interesting discussion on HackerNews which crystallized a fundamental problem I see with the current trend towards heavy client-side logic in web applications. Here is the start from that article, where Jean-Jacques lays out the problem: The worst part of my job these days is d

Keywords: api client end problem query

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Hacking the Postgres wire protocol

Source: news.ycombinator.com | By Unknown

Published on: 2025-04-26 10:33:10

Hacking the Postgres wire protocol Apr 14th, 2025 Lev Kokotov PgDog is a network proxy and it can see every byte sent between Postgres and the clients. It understands SQL and can infer where queries should go, without requiring changes to application code. In this article, we discuss how we handle the Postgres wire protocol and manipulate it to serve queries to multiple databases at the same time. Protocol basics Postgres has two ways to send queries over the network: Simple protocol Ext

Keywords: data message pgdog postgres query

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Hacking the Postgres Wire Protocol

Source: news.ycombinator.com | By Unknown

Published on: 2025-04-27 11:33:10

Hacking the Postgres wire protocol Apr 14th, 2025 Lev Kokotov PgDog is a network proxy and it can see every byte sent between Postgres and the clients. It understands SQL and can infer where queries should go, without requiring changes to application code. In this article, we discuss how we handle the Postgres wire protocol and manipulate it to serve queries to multiple databases at the same time. Protocol basics Postgres has two ways to send queries over the network: Simple protocol Ext

Keywords: data messages pgdog postgres query

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An LLM Query Understanding Service

Source: news.ycombinator.com | By Doug Turnbull

Published on: 2025-05-06 09:46:59

We need to be cheating at search with LLMs. Indeed I’m teaching a whole course on this in July. With an LLM we can implement in days what previously took months. We can take apart a query like “brown leather sofa” into the important dimensions of intent — “color: brown, material: leather, category:couches” etc. With this power all search is structured now. Even better we can do this all without calling out to OpenAI/Gemini/…. We can use simple LLMs running in our infrastructure making it faste

Keywords: llm prompt query red response

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You're protecting your data wrong – Introducing the Protected Query Pattern

Source: news.ycombinator.com | By Authorization Directly In The Query

Published on: 2025-05-15 11:33:04

Securing modern full-stack applications can be complex. You have to manage authorizations in many different contexts from UI to data mutation functions. In all of these contexts, you are required to query data and authorize access to it, maybe even conditionally redact and filter parts of it. This problem seems simple initially, but may quickly grow into a difficult beast to maintain and understand in real production applications with complex and ever changing requirements. This guide introdu

Keywords: data document id query user

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Perplexity AI CEO Denies Rumors Company Is Disintegrating Behind the Scenes

Source: futurism.com | By Unknown

Published on: 2025-05-20 19:35:37

The CEO of Perplexity AI insists that his company is doing just fine, thank you very much. Responding to a user theory suggesting that the company is suffering glitches because it's "doing horribly financially," CEO Aravind Srinivas took to his haters' home turf — that is, the r/Perplexity_AI subreddit — to set the record straight. In the original trash-talking post, user "nothingeverhappen" alleged, per a "campus strategist" they know, that Perplexity had "paused all funding for marketing and

Keywords: ai company perplexity query user

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It's Time to Stop Building KV Databases

Source: news.ycombinator.com | By Unknown

Published on: 2025-05-31 18:31:36

March 24, 2025 It's Time to Stop Building KV Databases I'm so sick of Key-Value. The most unopinionated, uninspired data model that is a pain to use for anything. They're very popular! Among database vendors. Or, specifically, storage engine vendors. They love to offer you a byte array to byte array map, and if they are feeling particularly generous, it might even be ordered so that you can do range scans. The problem is that the only thing that a KV interface is good for is as a building bl

Keywords: data database physical query schema

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Building AI agents to query your databases

Source: news.ycombinator.com | By Unknown

Published on: 2025-06-08 06:51:01

In the world of AI agents, the ability to understand and analyze structured data is a game-changer. While large language models excel at understanding natural language, they struggle with quantitative analysis when data is presented as unstructured text. This is where Query Tables comes in – a powerful feature that enables agents to execute SQL queries on structured data, providing precise answers to analytical questions. At Dust, we've been on a journey to build and evolve our Query Table agen

Keywords: data database query salesforce tables

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More mysterious DNS root query traffic from a large cloud/DNS operator (2022)

Source: news.ycombinator.com | By Duane Wessels

Published on: 2025-06-22 10:04:19

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

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Polars Cloud: The Distributed Cloud Architecture to Run Polars Anywhere

Source: news.ycombinator.com | By Unknown

Published on: 2025-06-26 07:57:46

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

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An illustrated guide to the Kaminsky DNS vulnerability (2008)

Source: news.ycombinator.com | By Unknown

Published on: 2025-07-05 12:54:37

Steve Friedl's Unixwiz.net Tech Tips An Illustrated Guide to the Kaminsky DNS Vulnerability The big security news of Summer 2008 has been Dan Kaminsky's discovery of a serious vulnerability in DNS. This vulnerability could allow an attacker to redirect network clients to alternate servers of his own choosing, presumably for ill ends. This all led to a mad dash to patch DNS servers worldwide, and though there have been many writeups of just how the vulnerability manifests itself, we felt the ne

Keywords: answer dns nameserver net query

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An Illustrated Guide to the Kaminsky DNS Vulnerability

Source: news.ycombinator.com | By Unknown

Published on: 2025-07-05 22:54:37

Steve Friedl's Unixwiz.net Tech Tips An Illustrated Guide to the Kaminsky DNS Vulnerability The big security news of Summer 2008 has been Dan Kaminsky's discovery of a serious vulnerability in DNS. This vulnerability could allow an attacker to redirect network clients to alternate servers of his own choosing, presumably for ill ends. This all led to a mad dash to patch DNS servers worldwide, and though there have been many writeups of just how the vulnerability manifests itself, we felt the ne

Keywords: answer dns nameserver net query

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DeepSearcher: A local open-source Deep Research

Source: news.ycombinator.com | By Stefan Webb

Published on: 2025-07-15 06:33:42

deep researcher.gif In the previous post, “I Built a Deep Research with Open Source—and So Can You!”, we explained some of the principles underlying research agents and constructed a simple prototype that generates detailed reports on a given topic or question. The article and corresponding notebook demonstrated the fundamental concepts of tool use, query decomposition, reasoning, and reflection. The example in our previous post, in contrast to OpenAI’s Deep Research, ran locally, using only op

Keywords: deepsearcher previous query question research

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DeepSearcher: A Local open-source Deep Research

Source: news.ycombinator.com | By Stefan Webb

Published on: 2025-07-15 06:33:42

deep researcher.gif In the previous post, “I Built a Deep Research with Open Source—and So Can You!”, we explained some of the principles underlying research agents and constructed a simple prototype that generates detailed reports on a given topic or question. The article and corresponding notebook demonstrated the fundamental concepts of tool use, query decomposition, reasoning, and reflection. The example in our previous post, in contrast to OpenAI’s Deep Research, ran locally, using only op

Keywords: deepsearcher previous query question research

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