DbSchema

DbSchema

Wise Coders
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About

CSV Buddy helps users prepare CSV files for import into various software, allowing them to load, save, and export files with different delimiters and customizable options. It offers a redesigned user interface with adjustable font sizes and screen scaling, the ability to merge columns using templates, and automation through scripting. CSV Buddy includes undo features, alerts for unsaved changes, and improved error messages. Its companion tool, CSV Messenger, enables scripting commands, providing advanced automation for CSV file manipulation. You can create merged fields using the application. But you can also create them as you load a CSV file, reusing the content of previous fields in each row. You can sort rows by clicking on column headers. To load a file from the command-line, add the CSV file name as the first command parameter.

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.

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

Data analysts needing a simple tool to manage, edit, and automate CSV files efficiently

Audience

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

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

$63 one time payment
Free Version
Free Trial

Reviews/Ratings

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

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Reviews/Ratings

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

Pros & Cons from Real Users

Pros

  • Supports multiple databases. Synchronize between database and model, forward and reverse engineer. Simple and intuitive. Attractive design. Generate important documentation from the tool.

Cons

  • Free version is really only for evaluation purposes.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

CSV Buddy
csvbuddy.quickaccesspopup.com

Company Information

Wise Coders
Founded: 2019
Germany
dbschema.com

Alternatives

Modern CSV

Modern CSV

Gallium Digital

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Luna Modeler

Ideamerit
CSViewer

CSViewer

EasyMorph
Aqua Data Studio

Aqua Data Studio

AquaFold, an Idera, Inc. company
CSVpad

CSVpad

TrustFm
DBeaver Community

DBeaver Community

DBeaver Corp.

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

Amazon Redshift
Apache Cassandra
Azure SQL Database
Google Sheets
HTML
IBM Db2
MariaDB
Microsoft Excel
MongoDB
MySQL
PostgreSQL
Redis
SQL Server
SQLite
Snowflake

Integrations

Amazon Redshift
Apache Cassandra
Azure SQL Database
Google Sheets
HTML
IBM Db2
MariaDB
Microsoft Excel
MongoDB
MySQL
PostgreSQL
Redis
SQL Server
SQLite
Snowflake
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