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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Angular Yes 
Azure DevOps Labs No 
Bubble Yes 
Google Sheets Yes 
HTML Yes 
JSON Yes 
JavaScript Yes 
Microsoft Excel Yes 
React Yes 
SQL Server No 
XML Yes 

Integrations

Angular No 
Azure DevOps Labs Yes 
Bubble No 
Google Sheets No 
HTML No 
JSON No 
JavaScript No 
Microsoft Excel No 
React No 
SQL Server Yes 
XML No 

Pricing Details

$35 per month
Free Trial No 
Free Version Yes 

Pricing Details

$405 per user per year
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

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/

Product Features

Product Features

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