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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Creating and overseeing a thoroughly documented data project requires significant time and extensive manual coding, but that is no longer the case. We are confident in our ability to help you improve data transformation efficiency, and we can back that promise with results. Our column-aware architecture facilitates the reuse of data patterns and efficient change management on a large scale. By enhancing visibility around change management and impact analysis, we ensure safer and more predictable data operations. Coalesce offers specially curated packages containing best-practice templates that can automatically generate native-SQL for Snowflake™. If you have specific requirements, rest assured that our templates are fully customizable to suit your needs. Navigating through your data pipeline is a breeze with Coalesce, as every screen and button has been thoughtfully designed for easy access to all necessary tools. With Coalesce, your data team gains enhanced control over projects, allowing for features like side-by-side code comparison and immediate visibility into project and audit histories. Additionally, we guarantee that table-level and column-level lineage information is continuously updated and readily available, ensuring that your data remains accurate and reliable. Ultimately, Coalesce empowers your team to optimize workflows and focus on delivering insights rather than getting bogged down in administrative tasks.

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

Screenshots View All

Screenshots View All

Integrations

Azure DevOps Labs
Git
Orchestra
SQL Server
Snowflake

Integrations

Azure DevOps Labs
Git
Orchestra
SQL Server
Snowflake

Pricing Details

No price information available.
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

Coalesce.io

Founded

2020

Country

United States

Website

coalesce.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

Data Lineage

Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Product Features

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Catalog

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