The fourth dimension of Relational databaseBuilding upon the idea of connecting tables in a database via joins and foriegn keys, datasquirel has added that last dimension of connecting databases.
Pure SQL basedBased on all known SQL syntax and conventions. At the core, datasquirel utilizes direct SQL mapping system, it's essentially running SQL queries through an API
Full Database ClonningClone a database and keep all properties and schema of the origin database updated in real time. This feature makes it easy to spawn a dev and a production database, and keep them in sync, while separating their indivaidual tables' content.
Realtime Tables ClonningYou can clone two tables in two different databases, and keep them in sync with any changes you make to the schema of the parent table. Like database clonning, this only applies to the table schema: field names, indexes, etc.
Powerful API integrationQuery data effortlessly from any environment using our tightly integrated, easy-to-use, secure REST API integration. All SQL syntax work seamlessly with our API directly out of the box.
Data SecurityYour data is safely stored behind the best and most efficient encryption system. Data encryption is also available for datatypes: VARCHAR and all TEXT. All encrypted data will be decrypted on demand, and is only stored in encrypted format.
Easy export and MigrationWant to take your database to another platform? You can export each database using SQL migration provisions, and run a migration script on your new platform, using SQL migration syntax.
All your data storage needs in one place
Datasquirel solves the hassle of storing data across different platforms using a centralized, easy-to-use, SQL-based cloud database administration system. Now you can have all your data in one place and retrieve from any location or environment using HTTP REST API calls and SQL queries.
Doing the basics and doing it right
The main purpose of a database is to do three main things: Create, Store, and Retrieve. Datasquirel focuses on these basic tasks and simplifies it as much as possible, then builds on them to make your data management even more robust.