並び順

ブックマーク数

期間指定

  • から
  • まで

161 - 200 件 / 541件

新着順 人気順

.databaseの検索結果161 - 200 件 / 541件

  • AlphaFold Protein Structure Database

    AlphaFold Protein Structure Database

    • GitHub - mathaou/termdbms: A TUI for viewing and editing database files.

      You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert

        GitHub - mathaou/termdbms: A TUI for viewing and editing database files.
      • GitHub - milvus-io/milvus: A cloud-native vector database, storage for next generation AI applications

        Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment. Milvus 2.0 is a cloud-native vector database with storage and computation separated by design. All components in this refactored version of Milvus are state

          GitHub - milvus-io/milvus: A cloud-native vector database, storage for next generation AI applications
        • Database CI/CD | Database DevOps | Schema Migration | Bytebase

          Change databaseStandardize database schema migrations and data changes with review, lint, and GitOps. Learn more Query dataRun ad-hoc SQL queries with built-in data privacy protection via web-based IDE. Learn more

            Database CI/CD | Database DevOps | Schema Migration | Bytebase
          • GitHub - multiprocessio/datastation: App to easily query, script, and visualize data from every database, file, and API.

            You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert

              GitHub - multiprocessio/datastation: App to easily query, script, and visualize data from every database, file, and API.
            • drawDB | Online database diagram editor and SQL generator

              Online database entity-realtionship diagram editor, data modeler, and SQL generator. Design, visualize, and export scripts without an account and completely free of charge.

                drawDB | Online database diagram editor and SQL generator
              • オラクル、シャーディングを利用したグローバルな分散DBの新サービス「Oracle Globally Distributed Autonomous Database」正式サービス開始

                オラクル、シャーディングを利用したグローバルな分散DBの新サービス「Oracle Globally Distributed Autonomous Database」正式サービス開始 オラクルはデータベースを複数のシャードに分割し、それぞれをグローバルに分散させつつ全体を1つの論理的なデータベースとして扱えるOracle Cloudの新サービス「Oracle Globally Distributed Autonomous Database」を正式サービスとして提供開始しました。 Find out how you can more easily address data sovereignty requirements and achieve the highest possible scale and availability with @Oracle Globally Distribute

                  オラクル、シャーディングを利用したグローバルな分散DBの新サービス「Oracle Globally Distributed Autonomous Database」正式サービス開始
                • SQLite 3.33 Released With PostgreSQL-Inspired UPDATE FROM, Database Files Up To 281 TB - Phoronix

                  SQLite 3.33 Released With PostgreSQL-Inspired UPDATE FROM, Database Files Up To 281 TB Written by Michael Larabel in Programming on 16 August 2020 at 10:11 AM EDT. 1 Comment SQLite 3.33 is out as the latest update to this widely-used, embed-friendly database library used by countless applications and other software. With SQLite 3.33 the maximum size of database files has been increased to now allo

                    SQLite 3.33 Released With PostgreSQL-Inspired UPDATE FROM, Database Files Up To 281 TB - Phoronix
                  • Postgres is eating the database world

                    PostgreSQL isn’t just a simple relational database; it’s a data management framework with the potential to engulf the entire database realm. The trend of “Using Postgres for Everything” is no longer limited to a few elite teams but is becoming a mainstream best practice. OLAP’s New Challenger In a 2016 database meetup, I argued that a significant gap in the PostgreSQL ecosystem was the lack of a s

                    • GitHub - vanna-ai/vanna: 🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.

                      You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert

                        GitHub - vanna-ai/vanna: 🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.
                      • GitHub - sabledb-io/sabledb: Ultra fast, persistent database supporting Redis API

                        You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert

                          GitHub - sabledb-io/sabledb: Ultra fast, persistent database supporting Redis API
                        • GitHub - rails/solid_queue: Database-backed Active Job backend

                          You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert

                            GitHub - rails/solid_queue: Database-backed Active Job backend
                          • YDB — an open source Distributed SQL Database

                            YDBYDB is a versatile open source Distributed SQL Database that combines high availability and scalability with strong consistency and ACID transactions. It accommodates transactional (OLTP), analytical (OLAP), and streaming workloads simultaneously.

                              YDB — an open source Distributed SQL Database
                            • Python 3系でFirebase Realtime Databaseの進化版のCloud Firestoreを触る - がじぇ

                              こんにちわ がじぇったー (@hackmylife7) | Twitter です。 PythonでRealtime DBをさわってごにょごにょしたいなぁと思い色々触って見ることにしました。 TL;DR(要約) Cloud Firestoreとは? ServiceAccountの作成 Cloud Datastoreの作成 cloud_firestore.pyの編集 データを読み取る 所感 TL;DR(要約) Cloud FirestoreはFirebase Realtime Databaseの進化版 Cloud Firestoreとは? みんな大好きFirebase Realtime Databaseの進化版です。 Firebaseの良さはそのまま引き継ぎ、弱点だった複雑で階層が深いデータ構造にも対応することができます。 Realtime Databaseはシングルリージョンでしたが、Clo

                                Python 3系でFirebase Realtime Databaseの進化版のCloud Firestoreを触る - がじぇ
                              • Welcome to the Artificial Intelligence Incident Database

                                A high school athletic director in the Baltimore area was arrested on Thursday after the police said he used artificial intelligence software to manufacture a racist and antisemitic audio clip that impersonated the school's principal. Dazho…

                                  Welcome to the Artificial Intelligence Incident Database
                                • GitHub - Dataherald/dataherald: Interact with your SQL database, Natural Language to SQL using LLMs

                                  Query your relational data in natural language. | | Docs | Homepage Dataherald is a natural language-to-SQL engine built for enterprise-level question answering over relational data. It allows you to set up an API from your database that can answer questions in plain English. You can use Dataherald to: Allow business users to get insights from the data warehouse without going through a data analys

                                    GitHub - Dataherald/dataherald: Interact with your SQL database, Natural Language to SQL using LLMs
                                  • Apache AGE, Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL.

                                    Apache AGE Graph Database for PostgreSQL Apache AGE is a PostgreSQL Graph database compatible with PostgreSQL's distributed assets and leverages graph data structures to analyze and use relationships and patterns in data. Get Started with Apache AGE Download Apache AGE Apache AGE® is a PostgreSQL that provides graph database functionality. The goal of Apache AGE® is to provide graph data processin

                                    • Write a time-series database engine from scratch

                                      Write a time-series database engine from scratch July 1, 2021 This blog post walks you through how to implement a time-series database engine based on what I’ve learned from my experience of writing a lightweight one from scratch. While it is written in Go, it mostly covers language-agnostic. Motivation I’ve been working on a couple of tools that handle a tremendous amount of time-series data. One

                                        Write a time-series database engine from scratch
                                      • GitHub - codenotary/immudb: immudb - immutable database based on zero trust, SQL/Key-Value/Document model, tamperproof, data change history

                                        Don't forget to ⭐ this repo if you like immudb! 🎉 23M pulls from docker hub! Detailed documentation can be found at https://docs.immudb.io/ immudb is a database with built-in cryptographic proof and verification. It tracks changes in sensitive data and the integrity of the history will be protected by the clients, without the need to trust the database. It can operate as a key-value store, as a d

                                          GitHub - codenotary/immudb: immudb - immutable database based on zero trust, SQL/Key-Value/Document model, tamperproof, data change history
                                        • GitHub - pressly/goose: A database migration tool. Supports SQL migrations and Go functions.

                                          github.com/pressly/goose is a fork of bitbucket.org/liamstask/goose with the following changes: No config files Default goose binary can migrate SQL files only Go migrations: We don't go build Go migrations functions on-the-fly from within the goose binary Instead, we let you create your own custom goose binary, register your Go migration functions explicitly and run complex migrations with your o

                                            GitHub - pressly/goose: A database migration tool. Supports SQL migrations and Go functions.
                                          • Best 11 ORMs for Node.js, Query Builders & Database Libraries in 2022

                                            Database tools Top 11 Node.js ORMs, query builders & database libraries in 2022 IntroductionChoosing an ORM or query builder for your Node.js app can be daunting. There are many different libraries that allow you to query and manipulate data from your JavaScript application, and each varies in its design and level of abstraction. This article is meant as a jumping-off point for choosing a library

                                              Best 11 ORMs for Node.js, Query Builders & Database Libraries in 2022
                                            • GitHub - holistics/dbml: Database Markup Language (DBML), designed to define and document database structures

                                              You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert

                                                GitHub - holistics/dbml: Database Markup Language (DBML), designed to define and document database structures
                                              • Why and how GitHub encrypts sensitive database columns using ActiveRecord::Encryption

                                                EngineeringSecurityWhy and how GitHub encrypts sensitive database columns using ActiveRecord::EncryptionYou may know that GitHub encrypts your source code at rest, but you may not have known that we encrypt sensitive database columns as well. Read about our column encryption strategy and our decision to adopt the Rails column encryption standard. You may know that GitHub encrypts your source code

                                                  Why and how GitHub encrypts sensitive database columns using ActiveRecord::Encryption
                                                • AWS、フルマネージド型台帳データベース「Amazon Quantum Ledger Database(QLDB)」一般提供開始

                                                  Amazon Web Services(AWS)は米国時間9月10日、中央集権型のフルマネージドな台帳データベース「Amazon Quantum Ledger Database(QLDB)」の一般提供(GA)を開始したと発表した。このサービスは、信頼できる中央機関が所有するイミュータブルで、暗号学的検証が可能なトランザクションログを提供する。 Amazon QLDBは2018年の「AWS re:Invent」カンファレンスで、「Amazon Managed Blockchain」とともに発表された。Amazon Managed Blockchainは、EthereumやHyperledger Fabricを使用してスケーラブルなブロックチェーンネットワークを簡単に作成、管理できるようにするものだ。Amazon Managed BlockchainのGAは4月に発表された。 顧客は中央集中型

                                                    AWS、フルマネージド型台帳データベース「Amazon Quantum Ledger Database(QLDB)」一般提供開始
                                                  • Database Internalsを輪読している話

                                                    この記事は自作DBMS Advent Calendar 2020の23日目です。このアドカレは全国100万人のDB自作勢がノウハウを共有してくれるものですが、当記事では「将来的に自分もDBを開発したい!」という方向けに(?)役立ちそうな書籍を紹介します。 Database Internalsとはどんな本か? タイトル通り、データベースの内部構造に関する本です(2020年の年末時点では翻訳版は未発売)。 著者の書籍紹介ページにあるように、データベースの基本的な概念を解説することに焦点が当てられており、DBMSの開発者や知識欲が旺盛なDBエンジニアを対象読者としています。 This book’s main intention is to introduce you to the cornerstone concepts and help you understand how databases

                                                      Database Internalsを輪読している話
                                                    • Database Design and Implementation

                                                      This textbook examines database systems from the viewpoint of a software developer. This perspective makes it possible to investigate why database systems are the way they are. It is of course important to be able to write queries, but it is equally important to know how they are processed. We e.g. don’t want to just use JDBC; we also want to know why the API contains the classes and methods that

                                                        Database Design and Implementation
                                                      • MySQL 各インデックスごとの容量を確認する - mita2 database life

                                                        お題 不要そうなインデックスを削除して、どれぐらい容量が減るのか確認したい information_schema.tables の INDEX_LENGTH では合計容量しか見えない mysql> SELECT TABLE_NAME, TABLE_ROWS, DATA_LENGTH, INDEX_LENGTH FROM information_schema.tables WHERE TABLE_NAME = 'sbtest1' \G *************************** 1. row *************************** TABLE_NAME< TABLE_ROWS: 1 DATA_LENGTH: 225132544 INDEX_LENGTH: 85295104 1 row in set, 1 warning (0.00 sec) 複数のインデックスの合

                                                          MySQL 各インデックスごとの容量を確認する - mita2 database life
                                                        • Amazon Quantum Ledger Database (QLDB) 実運用のための検証

                                                          1. 概要Amazon Quantum Ledger Database(QLDB)は、「データ整合性」「完全性」「検証可能性」が不可欠なSoR(System of Record)アプリケーションに相性の良い台帳管理専用データベースです。弊社が取り組んでいるブロックチェーン文脈においても、上記の3要素については金融文脈だけではなく、物流やサプライチェーンにおけるトレーサビリティにおいて重要であると考えています。 図1. QLDB概要図2. QLDBとブロックチェーンの違い上記の3要素を満たすような分散台帳を選ぶ際に、ethereum, Hyperledger Fabric, Corda, miyabiといったブロックチェーンを利用することが真っ先に考えられますが、その中でどのような特徴やユースケースがあるのかを検討しています。 QLDBの特徴としては下記が挙げられます。QLDBは分散台帳でも

                                                            Amazon Quantum Ledger Database (QLDB) 実運用のための検証
                                                          • ksqlDB: The database purpose-built for stream processing applications.

                                                            ksqlDB The database purpose-built for stream processing applications. Real-time Build applications that respond immediately to events. Craft materialized views over streams. Receive real-time push updates, or pull current state on demand. Kafka-native Seamlessly leverage your existing Apache Kafka® infrastructure to deploy stream-processing workloads and bring powerful new capabilities to your app

                                                            • Abstracting database/sql boilerplate with Go generics

                                                              An abstract vision of abstracting database/sql boilerplateIntroductionThis post is part of the Eureka Advent Calendar 2022. database/sql provides everything needed to work with SQL in Go, yet there’s an ever-growing list of query builders, ORMs and database utilities being developed by the community. Is database/sql really so bad? In this post we’ll explore what can be achieved using Go generics w

                                                                Abstracting database/sql boilerplate with Go generics
                                                              • GitHub - stokry/wp-sqlite: WordPress running on an SQLite database

                                                                WordPress running on an SQLite database. Easy to use WordPress implementation with SQLite database. SQLite has the following noticeable features: self-contained, serverless, zero-configuration, transactional. Because of the serverless architecture, you don’t need to “install” SQLite before using it. There is no server process that needs to be configured, started, and stopped. In addition, SQLite d

                                                                  GitHub - stokry/wp-sqlite: WordPress running on an SQLite database
                                                                • GitHub - RobertCraigie/prisma-client-py: Prisma Client Python is an auto-generated and fully type-safe database client designed for ease of use

                                                                  You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert

                                                                    GitHub - RobertCraigie/prisma-client-py: Prisma Client Python is an auto-generated and fully type-safe database client designed for ease of use
                                                                  • MySQL 複数データセンター利用する場合のレプリケーショントポロジー考察 - mita2 database life

                                                                    マスター・スレーブ構成ではマスター障害時、保持しているバイナリログが最も進んでいるスレーブから新マスターを選出する。 MySQLでは、どのスレーブが最新のログを持っているかはコントロールできない。 準同期レプリケーションを利用していたとしても、非同期スレーブのほうが先に進んでいるということがあり得る。 複数のデータセンターを利用する場合に、プライマリ側のデータセンターにマスターを固定する運用をするとしたら、 どのような構成パターンが良さそうか考えてみる。セカンダリ側のデータセンターのスレーブが最も進んでしまっている場合にどのように対処するか。 前提条件 プライマリデータセンター内にロスレス準同期スレーブが最低一台は存在している前提 サーバ障害でのデータロストは許容できない 1. 中間マスターなし 1-1. DC間フェイルオーバー有り セカンダリのデータセンターが新マスターになる可能性がある

                                                                      MySQL 複数データセンター利用する場合のレプリケーショントポロジー考察 - mita2 database life
                                                                    • Manticore Search – easy-to-use fast search database

                                                                      Manticore Search – easy-to-use open-source fast database for search 🚀 Performance you are looking forPerformance drives the development of Manticore Search. We are dedicated to achieving low response times, which are crucial for analyzing large datasets. Throughput is also a key consideration, allowing Manticore to handle a high number of queries per second. Manticore Search is the fastest open-s

                                                                        Manticore Search – easy-to-use fast search database
                                                                      • MySQL Connection Pooling と Persistent Connections はチョット違うという話 - mita2 database life

                                                                        コネクションプーリングのメリット コネクションプーリングは、一度確率したコネクションを使い回す仕組みです。TCP 3-way ハンドシェイクやDBの新規接続処理をスキップすることで、パフォーマンスを向上させる効果があります。 ただ、私の経験ではコネクションプーリングは「しても、しなくてもどっちでも良い」ケースがほとんどでした。接続処理以外の部分が占める時間やリソースの方が圧倒的に多いケースがほとんどではないでしょうか。 一部、アプリケーションサーバとDBサーバの距離が非常に長く、RTT(往復時間)が大きい場合に効果があった経験はあります*1。 Connection Pooling と Persistent Connections コネクションプーリングと似た仕組みとして、持続的データベース接続 (Persistent Connections) があります。 コネクションプーリングと持続的デ

                                                                          MySQL Connection Pooling と Persistent Connections はチョット違うという話 - mita2 database life
                                                                        • GitHub - commandprompt/pgmanage: Web tool for database management

                                                                          You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert

                                                                            GitHub - commandprompt/pgmanage: Web tool for database management
                                                                          • スロークエリログをDataDogで可視化するLambda Function を作った - mita2 database life

                                                                            MySQL 徹底入門 第4版が出ましたね! 著者の方々にサインをもらいたいところですが、Stay Homeな昨今なかなかチャンスがありそうにありません。 MySQL徹底入門 第4版 MySQL 8.0対応 作者:yoku0825,坂井 恵,鶴長 鎮一,とみたまさひろ,深町 日出海,福山 裕大,班石 悦夫,山﨑 由章発売日: 2020/07/06メディア: 単行本(ソフトカバー) 基本、オンプレ職人なのですが、最近、ちょっとだけ、AWS Auroraを触ったりしています。 Datadog で AWS Aurora のスロークエリログを可視化する Lambda Function を作りました。 Lamda 上でクエリを正規化してから、Datadog に送信しています。 正規化して、どのクエリが多くスロークエリログに出力されているか集計しやすくしています。pt-query-digest がやって

                                                                              スロークエリログをDataDogで可視化するLambda Function を作った - mita2 database life
                                                                            • DuckDB Doesn’t Need Data To Be a Database

                                                                              28 May 2024 DuckDB Doesn’t Need Data To Be a Database One of the many enjoyable things about databases is that they generally try to separate how data is represented internally (say on disk) from how it is used. To the point that it has become the norm to not even store the data on the same hardware that is running the queries. Databases have gotten so good at this, that the term is almost mislead

                                                                              • An unlikely database migration

                                                                                WireGuard is a registered trademark of Jason A. Donenfeld. Brad joins a startup When I first joined Tailscale almost a year ago, one of the first things I asked Crawshaw was, “So, what database do you use? MySQL, PostgreSQL, SQLite maybe?”, knowing that he loved SQLite. “A text file," he replied. “Huh?” “Yeah, we write out one big JSON object to a text file.” “How? When? What?” “Yeah, whenever som

                                                                                  An unlikely database migration
                                                                                • RSS Feeds for GitHub Advisory Database

                                                                                  These RSS Feeds is a collection of GitHub Advisory Database. Supported Feed types JSON Feed Atom Feed OPML Feeds(All ecosystems): https://azu.github.io/github-advisory-database-rss/index.opml COMPOSER: https://azu.github.io/github-advisory-database-rss/composer.json (atom) GO: https://azu.github.io/github-advisory-database-rss/go.json (atom) MAVEN: https://azu.github.io/github-advisory-database-rs