What is ERBuilder?
It allows developers to graphically design databases by using entity relationship diagrams and automatically generates the most popular SQL databases. It also allows developers to easily deploy databases by offering a sophisticated visual data modeling environment. The software reduces errors in database development while improving productivity and simplifying data modeling. Developers can visualize physical model structures to understand their databases, create new tables, modify, analyze and optimize the solution.
ERBuilder is a tool in the Database Tools category of a tech stack.
Who uses ERBuilder?
ERBuilder Integrations
MySQL, PostgreSQL, Microsoft SQL Server, SQLite, and MariaDB are some of the popular tools that integrate with ERBuilder. Here's a list of all 9 tools that integrate with ERBuilder.
ERBuilder's Features
- Generation of physical data models
- DBMS specific data models
- Creation of entities, attributes, relationships, views, domains, indexes, sequences, triggers and stored procedures
- Work with virtual data to validate a data model
- Comparison between models and/or databases
- Generate comparison models /databases HTML report
- Generate HTML templates (GUI from a data model)
- Change the data model from one DBMS to another
- Large model management
- Model checking
- Version management with possibility to archive or restore a version
- Rich visual data modeling
- Model browsers (Treeview)
- Generation of test data using multiple available generators
- Add custom dictionaries generators
- Generation of unlimited rows per table
- Generation of data from virtual data or generators
ERBuilder Alternatives & Comparisons
What are some alternatives to ERBuilder?
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
