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BaseDash
ByBaseDashBaseDash

BaseDash

#247in Databases
Discussions8
Followers33
OverviewDiscussions8

What is BaseDash?

Edit your database with the ease of a spreadsheet. Use it to manage users, provide customer support, or export raw data for analysis. It's like Airtable but for your product’s actual database.

BaseDash is a tool in the Databases category of a tech stack.

Key Features

Filter & sortSchema managementReal-time collaborationDark modeEdit historyUndo editsShared SQL queriesData visualization

BaseDash Pros & Cons

Pros of BaseDash

  • ✓Beautiful interface
  • ✓Easy to use
  • ✓Edit history
  • ✓Great database support
  • ✓Powerful filtering

Cons of BaseDash

No cons listed yet.

BaseDash Alternatives & Comparisons

What are some alternatives to BaseDash?

Slick

Slick

It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred.

Spring Data

Spring Data

It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database.

DataGrip

DataGrip

A cross-platform IDE that is aimed at DBAs and developers working with SQL databases.

DBeaver

DBeaver

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

DB

DB

With DB you can very easily save, restore, and archive snapshots of your database from the command line. It supports connecting to different database servers (for example a local development server and a staging or production server) and allows you to load a database dump from one environment into another environment.

dbt

dbt

dbt is a transformation workflow that lets teams deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone who knows SQL can build production-grade data pipelines.

BaseDash Integrations

Amazon Redshift, MariaDB, PostgreSQL, MySQL, Microsoft SQL Server and 1 more are some of the popular tools that integrate with BaseDash. Here's a list of all 6 tools that integrate with BaseDash.

Amazon Redshift
Amazon Redshift
MariaDB
MariaDB
PostgreSQL
PostgreSQL
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server
Supabase
Supabase

Try It

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Adoption

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BaseDash Discussions

Discover why developers choose BaseDash. Read real-world technical decisions and stack choices from the StackShare community.

Max Musing
Max Musing

Founder & CEO at BaseDash

May 6, 2020

Needs adviceonPostgreSQLPostgreSQLBaseDashBaseDashMongoDBMongoDB

How are you managing your PostgreSQL schema? It doesn't have to be hard to add or remove fields. We're working on a SQL database client at BaseDash that lets you add/remove columns in a couple clicks.

If you decide to migrate some of your data to MongoDB, you can definitely manage the two databases in parallel. For any records that need to be linked, you can treat it just like a foreign key by creating a column that points to an ID in the other database. For example, you might store user settings in MongoDB, and include a UserId field that points to your User record in your Postgres database.

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Max Musing
Max Musing

Founder & CEO at BaseDash

May 5, 2020

Needs adviceonNode.jsNode.jsExpressJSExpressJSBaseDashBaseDash

Node.js and ExpressJS is a good choice for backend, the stack makes it really easy to build a REST API.

I'm not exactly sure what you mean by using ExpressJS as an admin panel. Express is a lightweight backend framework for Node.js that lets you build your endpoints quickly and with minimal code. If you're looking for an admin panel to manage the data on your mobile app, check out BaseDash. It lets you view and edit data from your SQL database with the simplicity of Airtable.

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Max Musing
Max Musing

Founder & CEO at BaseDash

May 4, 2020

Needs adviceonSocket.IOSocket.IOBaseDashBaseDashNode.jsNode.js

Socket.IO is great for building real-time systems like chat. It's effectively a nice wrapper around WebSockets, with the ability to fallback to other methods for browsers that don't support it. We just used it to implement real-time collaboration at BaseDash, including a chat system like you're looking to build.

Node.js is probably the correct choice, especially if you're already familiar with it You'll probably still need to build an API to send requests to your server, and then use Socket.IO to push messages to your clients. This will let you authenticate users and store messages on your database so you can retrieve them later. PostgreSQL and MongoDB are good options for your database, you should be fine either way. Don't worry about speed, they'll both be sufficient.

React on the front end makes it really simple to handle real-time updating data. Again, even better since you're already familiar.

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Max Musing
Max Musing

Founder & CEO at BaseDash

Apr 6, 2020

Needs adviceonNode.jsNode.jsSocket.IOSocket.IOPostgreSQLPostgreSQL

Node.js is a great option for real-time applications, especially in conjunction with Socket.IO.

In terms of databases, I'd go with PostgreSQL. MongoDB has its benefits (schema-less, sharding, map-reduce), but for most CRUD-based apps, it makes sense to store the bulk of your data in a relational database (of which PostgreSQL is the best IMO). You can throw in MongoDB if you have a specific need for it. There's certainly no need to use both MySQL and PostgreSQL.

As for GraphQL, it can be nice to work with since you don't need to predefine specific data endpoints on your backend, instead shifting the power to your frontend in requesting the data it needs. It's also useful for public APIs, when you don't know what data users want (see Github's API). It can be useful at the early stage when you're prototyping and want to be able to fetch data quickly, but certainly isn't necessary.

At BaseDash we use Node.js, ExpressJS, Socket.IO, PostgreSQL, and Sequelize to fit our use case of database management and real-time operations.

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Max Musing
Max Musing

Founder & CEO

Apr 4, 2020

Needs adviceonBaseDashBaseDash

You're right that there isn't a great way to join tables with Airtable's API. The closest you can get is to use a linked record field, which acts as a pointer to another record. You still end up with the problem you mentioned of having to run another query on the second table separately.

Your best bet is to stick with an actual SQL database. Using an ORM should make your life significantly easier so you don't actually have to write raw SQL. If you still want a graphical interface to your data, BaseDash lets you view and edit SQL databases just like Airtable. A full API with join support is coming soon, so that could be your perfect solution to this problem.

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