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What is Redgate SQL Data Generator?

Data can be swiftly generated using table names, column definitions, field sizes, data types, and other established parameters. These data generators are highly customizable to meet your individual requirements. In SQL Server Management Studio, significant volumes of data can be created with just a few clicks. The system supports column-specific data generation, allowing the value in one column to be influenced by another's content. Users gain increased flexibility and control when generating foreign key data, which is essential for relational databases. Additionally, custom generators can be shared with your colleagues, enabling the storage of regular expressions and SQL statement generators for team collaboration. You also have the option to create your own generators using Python, which allows you to generate any extra data that may be necessary. Using seeded random data generation ensures that the same dataset is consistently produced in every run. Furthermore, foreign key support plays a crucial role in preserving data integrity across different tables, enhancing both efficiency and reliability in the process. This adaptability in data generation not only simplifies workflows but also significantly boosts productivity in database management tasks, making it a valuable tool for developers and data analysts alike. With such capabilities, your data generation process becomes both innovative and seamless.

What is Amundsen?

Unlock the potential of your data by fostering confidence for more impactful analysis and modeling. By breaking down barriers between information silos, you can significantly boost productivity. Instantly access insights into your data while also observing how your colleagues are utilizing it. Enjoy a seamless search experience for data within your organization using an intuitive text-based interface. The search functionality leverages an algorithm similar to PageRank, allowing for personalized recommendations based on various factors such as names, descriptions, tags, and user interactions with tables and dashboards. Build trust in your data by depending on automated, curated metadata, which offers comprehensive details about tables and columns, insights on frequent users, timestamps of the latest updates, relevant statistics, and, when allowed, previews of the data. Improve data management efficiency by establishing connections to the ETL jobs and code that create the datasets. Provide clear definitions for table and column descriptions to reduce unnecessary debates about which data to use and the meanings of individual columns. Identify which datasets are most frequently accessed, owned, or bookmarked by your peers, thereby enhancing collaboration. Furthermore, gain insights into popular queries linked to a specific table by examining dashboards created from that dataset, which enhances your analytical capabilities. Ultimately, this holistic strategy ensures that your data-driven choices are informed and anchored in trustworthy information, leading to more effective outcomes.

Media

Media

Integrations Supported

SQL Server
AWS Glue
Amazon Athena
Amazon Redshift
Amazon Web Services (AWS)
Apache Cassandra
Apache Druid
Apache Hive
Apache Spark
Azure DevOps Labs
Datafold
Delta Lake
Elasticsearch
Google Cloud Platform
IBM Db2
MySQL
OpenText Analytics Database (Vertica)
Oracle Cloud Infrastructure
PostgreSQL
Snowflake

Integrations Supported

SQL Server
AWS Glue
Amazon Athena
Amazon Redshift
Amazon Web Services (AWS)
Apache Cassandra
Apache Druid
Apache Hive
Apache Spark
Azure DevOps Labs
Datafold
Delta Lake
Elasticsearch
Google Cloud Platform
IBM Db2
MySQL
OpenText Analytics Database (Vertica)
Oracle Cloud Infrastructure
PostgreSQL
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

$405 per user per year
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Redgate Software

Date Founded

1999

Company Location

United Kingdom

Company Website

www.red-gate.com/products/sql-development/sql-data-generator/

Company Facts

Organization Name

Amundsen

Company Location

United States

Company Website

www.amundsen.io

Categories and Features

Categories and Features

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