What is BedquiltDB?
BedquiltDB is an open-source PostgreSQL extension and set of code libraries, which wraps the PostgreSQL jsonb data type in a slick programmatic API inspired by NoSQL document stores.
BedquiltDB is a tool in the Database Tools category of a tech stack.
BedquiltDB is an open source tool with 256 GitHub stars and 14 GitHub forks. Here’s a link to BedquiltDB's open source repository on GitHub
Who uses BedquiltDB?
Developers
BedquiltDB Integrations
BedquiltDB's Features
- Simple, developer-friendly programmatic API
- Easy to write clients in any programming language, as all the "smarts" are in the PostgreSQL extension
- All the power of a SQL database, including Constraints and Transactions
- Easy migration path from "loose schema" to "well defined schema" without needing to change database platform
BedquiltDB Alternatives & Comparisons
What are some alternatives to BedquiltDB?
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
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
A cross-platform IDE that is aimed at DBAs and developers working with SQL databases.
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.
Microsoft SQL Server Management Studio
It is an integrated environment for managing any SQL infrastructure, from SQL Server to Azure SQL Database. It provides tools to configure, monitor, and administer instances of SQL Server and databases. Use it to deploy, monitor, and upgrade the data-tier components used by your applications, as well as build queries and scripts.
