What is Arctype?
It is a fast, beautiful database GUI for developers and teams. With SQL autocomplete, spreadsheet-style editing, one-click visualizations, collaboration, and the best support for Postgres, MySQL, and PlanetScale - you'll finally love working with your DB.
Arctype is a tool in the Database Tools category of a tech stack.
Who uses Arctype?
Companies
Developers
4 developers on StackShare have stated that they use Arctype.
Arctype Integrations
MySQL, PostgreSQL, Linux, Windows, and macOS are some of the popular tools that integrate with Arctype. Here's a list of all 6 tools that integrate with Arctype.
Arctype's Features
- SQL client and database management tool
- Write queries –– fast
- Build beautiful charts in 2 clicks. Combine multiple charts in a Dashboard
- Bring your team in on the action with links to charts and queries
Arctype Alternatives & Comparisons
What are some alternatives to Arctype?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
Related Comparisons
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