Search Results for "mysql from delphi"

...Mongo JavaScript editor, execute Mongo script (with NodeJs syntax). Redis tree view, generate script from keys, run Redis script. Runs as an application for Windows, Linux and Mac. Or in Docker container on the server and in a web browser on the client. Import, export from/to CSV, Excel, JSON, XML. Free table editor - quick table data editing (cleanup data after import/before export, prototype tables, etc.) Archives - back up your data in JSON files on local filesystem (or on DbGate server, when using web application) Charts, export chart to HTML page.

Simple SQL Client for lightweight data analysis. You can share the result with gist. Supports MySQL, PostgreSQL (Amazon Redshift), SQLite3, Google BigQuery, Treasure Data, Amazon Athena. You can download and install from Web Site or Releases.

Kysely (pronounce “Key-Seh-Lee”) is a type-safe and autocompletion-friendly typescript SQL query builder. Inspired by knex. Mainly developed for node.js but also runs on deno and in the browser. Kysely makes sure you only refer to tables and columns that are visible to the part of the query you're writing. The result type only has the selected columns with correct types and aliases. As an added bonus you get autocompletion for all that stuff. As shown in the gif above, through the pure magic...

ElectroCRUD is an open source database CRUD (create, read, update, delete) Software. No code needed. Just in a few clicks, you can create a database admin/dashboard/whatever. Its open source and free. After a failed search for a basic admin panel that does not involve writing code or installs web-based solutions, I came up with ElectroCRUD idea. The ElectroCRUD v1 was born in 2016. An Electron application that made it possible to create a friendly dashboard with data tables, search, widgets,...

...The only change on your side is to add an _id field to your models. Models represent tables in your database. Each model should link to one of your database's tables. Every field should also match the name from your database. Creating models is very easy. Import Model from the library and create a class based on what you plan to modelize. The name we call our model might differ from the table name in our database.

...Easily fetch your data, wherever it is: 18 SQL and non-SQL databases, files, HTTP server. Over 20 supported databases out of the box including: PostgreSQL, MySQL, MariaDB, SQLite, SQL Server, Oracle, ClickHouse, Influx 1 (InfluxQL), Influx 2 (Flux), Prometheus, Elasticsearch, AWS Athena, Google BigQuery, Snowflake, Cassandra, Scylla, TimescaleDB, YugabyteDB, CockroachDB, CrateDB, QuestDB, and Airtable.