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Description
Impler is an innovative open-source infrastructure for data importation, crafted to assist engineering teams in creating comprehensive data import solutions without the need to repeatedly start from scratch. It features an intuitive guided importer that leads users through seamless data upload processes, along with intelligent auto-mapping capabilities that match user file headers to designated columns, thereby minimizing the likelihood of errors. Additionally, it incorporates thorough validation checks to confirm that each cell conforms to established schemas and custom criteria. The platform includes validation hooks that empower developers to implement custom JavaScript for validating data against external databases, and it also boasts an Excel template generator that produces personalized templates tailored to specified columns. Furthermore, Impler facilitates the import of data accompanied by images, allowing users to seamlessly upload visual content alongside their data entries, while also providing an auto-import functionality that can automatically retrieve and import data on a pre-set schedule. This combination of features makes Impler a powerful tool for enhancing data import processes across various projects.
Description
It can quickly generate data based on table names, column specifications, field sizes, data types, and other predefined constraints. These generators can easily be tailored to suit your specific needs. You can produce substantial amounts of data within just a few clicks in SQL Server Management Studio. The system allows for column-aware data generation, enabling the creation of data in one column that depends on the values in another. Users benefit from enhanced flexibility and manual oversight when crafting foreign key data. Custom generators that can be shared with your team are also available, allowing you to save regular expressions and SQL statement generators for collaborative use. Furthermore, you can write your own generators in Python, giving you the ability to create any additional data required. With seeded random data generation, you can ensure that the same dataset is produced consistently each time. Moreover, foreign key support helps maintain data consistency across various tables, making the process even more efficient and reliable. This versatility in data generation significantly streamlines workflows and enhances productivity for database management tasks.
API Access
Has API
API Access
Has API
Integrations
Angular
Azure DevOps Labs
Bubble
Google Sheets
HTML
JSON
JavaScript
Microsoft Excel
React
SQL Server
Integrations
Angular
Azure DevOps Labs
Bubble
Google Sheets
HTML
JSON
JavaScript
Microsoft Excel
React
SQL Server
Pricing Details
$35 per month
Free Trial
Free Version
Pricing Details
$405 per user per year
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Impler
Founded
2023
Country
India
Website
impler.io
Vendor Details
Company Name
Redgate Software
Founded
1999
Country
United Kingdom
Website
www.red-gate.com/products/sql-development/sql-data-generator/