DbSchema

DbSchema

Wise Coders
python-sql

python-sql

Python Software Foundation

About

DbSchema is for visual designing the schema in a team, deploy and document the schema. Other integrated features like data explorer, visual query editor, data generator, etc., makes DbSchema an every-day tool for everybody who interacts with databases. DbSchema supports all relational and No-SQL databases, including MySQL, PostgreSQL, SQLite, Microsoft SQL Server, MongoDB, MariaDB, Redshift, Snowflake, Google and more. DbSchema is reverse-engineering the database schema from the database and visualize it as diagrams. You will interact with the database using diagrams and visual tools. DbSchema model is using its copy of schema structure, independent from the database. This allows the schema deployment on multiple databases, save the design model to file, store it in GIT and design the schema in a team, design the schema without database connectivity, compare different versions of the schema and generate SQL migration scripts.

About

Hackolade Studio is a powerful data modeling platform that supports a wide range of technologies including relational SQL and NoSQL databases, cloud data warehouses, APIs, streaming platforms, and data exchange formats. Designed for modern data architecture, it enables users to visually design, document, and evolve schemas across systems like Oracle, PostgreSQL, Databricks, Snowflake, MongoDB, Cassandra, DynamoDB, Neo4j, Kafka (with Confluent Schema Registry), OpenAPI, GraphQL, and more. Hackolade Studio offers forward and reverse engineering, schema versioning, model validation, and integration with metadata catalogs such as Unity Catalog and Collibra. It empowers data architects, engineers, and governance teams to collaborate on consistent, governed, and scalable data models. Whether building data products, managing API contracts, or ensuring regulatory compliance, Hackolade Studio streamlines the process in one unified interface.

About

Reindeer is an AI-powered IDE for database developers that reads your database schema, generates production-ready SQL in seconds, provides inline autocomplete and refactoring suggestions, and enables you to stay entirely within your development environment rather than switching between tools. It supports key features such as schema-aware SQL generation tailored to your tables and relationships, autocomplete and fix suggestions for existing queries, and a safe workflow where suggestions are reviewed by you and not executed automatically, so you retain full control. It launches with support for PostgreSQL and promises support for additional database systems. It is designed to significantly boost productivity for those who write SQL by cutting context switching, reducing repetitive query work, and accelerating development of complex joins, filters, and transformations, all without requiring you to leave your IDE or manually switch between schema viewers and query editors.

About

python-sql is a library to write SQL queries in a pythonic way. Simple selects, select with where condition. Select with join or select with multiple joins. Select with group_by and select with output name. Select with order_by, or select with sub-select. Select on other schema and insert query with default values. Insert query with values, and insert query with query. Update query with values. Update query with where condition. Update query with from the list. Delete query with where condition, and delete query with sub-query. Provides limit style, qmark style, and numeric style.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Database administrators, developers, data architects, and teams who need a visual, collaborative tool for designing, managing, and documenting databases across various environments

Audience

Data architects, data modelers, data engineers - across all industries and organization sizes

Audience

SQL and database engineers wanting a tool to write, autocomplete, refactor and validate SQL faster and with fewer errors

Audience

Developers searching for a solution offering a library to write SQL queries

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

$63 one time payment
Free Version
Free Trial

Pricing

€175 per month
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 4.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Wise Coders
Founded: 2019
Germany
dbschema.com

Company Information

Hackolade
Founded: 2016
Belgium
hackolade.com

Company Information

Reindeer
United States
www.tryreindeer.com

Company Information

Python Software Foundation
United States
pypi.org/project/python-sql/

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Categories

Categories

Categories

Categories

Database Features

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Integrations

Alation
AllegroGraph
Amazon DocumentDB
Amazon DynamoDB
Apache Kafka
Azure Databricks
Azure Repos
BigID
Bitbucket
Databricks Data Intelligence Platform
Domino Enterprise MLOps Platform
Firebase
MariaDB
MarkLogic
MySQL
Python
SQL Server
SQLite
TigerGraph
Unity Catalog

Integrations

Alation
AllegroGraph
Amazon DocumentDB
Amazon DynamoDB
Apache Kafka
Azure Databricks
Azure Repos
BigID
Bitbucket
Databricks Data Intelligence Platform
Domino Enterprise MLOps Platform
Firebase
MariaDB
MarkLogic
MySQL
Python
SQL Server
SQLite
TigerGraph
Unity Catalog

Integrations

Alation
AllegroGraph
Amazon DocumentDB
Amazon DynamoDB
Apache Kafka
Azure Databricks
Azure Repos
BigID
Bitbucket
Databricks Data Intelligence Platform
Domino Enterprise MLOps Platform
Firebase
MariaDB
MarkLogic
MySQL
Python
SQL Server
SQLite
TigerGraph
Unity Catalog

Integrations

Alation
AllegroGraph
Amazon DocumentDB
Amazon DynamoDB
Apache Kafka
Azure Databricks
Azure Repos
BigID
Bitbucket
Databricks Data Intelligence Platform
Domino Enterprise MLOps Platform
Firebase
MariaDB
MarkLogic
MySQL
Python
SQL Server
SQLite
TigerGraph
Unity Catalog
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