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features
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support

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Write a Review

Description

Uncover and rely on data for your analyses and models while enhancing productivity by dismantling silos. Gain instant insights into data usage by others and locate data within your organization effortlessly through a straightforward text search. Utilizing a PageRank-inspired algorithm, the system suggests results based on names, descriptions, tags, and user activity associated with tables or dashboards. Foster confidence in your data with automated and curated metadata that includes detailed information on tables and columns, highlights frequent users, indicates the last update, provides statistics, and offers data previews when authorized. Streamline the process by linking the ETL jobs and the code that generated the data, making it easier to manage table and column descriptions while minimizing confusion about which tables to utilize and their contents. Additionally, observe which data sets are commonly accessed, owned, or marked by your colleagues, and discover the most frequent queries for any table by reviewing the dashboards that leverage that specific data. This comprehensive approach not only enhances collaboration but also drives informed decision-making across teams.

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

SQL Server Yes 
AWS Glue Yes 
Amazon Athena Yes 
Amazon Redshift Yes 
Apache Cassandra Yes 
Apache Druid Yes 
Apache Spark Yes 
Azure DevOps Labs No 
Datafold Yes 
Delta Lake Yes 
Elasticsearch Yes 
Google Cloud BigQuery Yes 
Google Cloud Platform Yes 
IBM Db2 Yes 
MySQL Yes 
OpenMetadata Yes 
Oracle Cloud Infrastructure Yes 
PostgreSQL Yes 
Snowflake Yes 
Vertica Yes 

Integrations

SQL Server Yes 
AWS Glue No 
Amazon Athena No 
Amazon Redshift No 
Apache Cassandra No 
Apache Druid No 
Apache Spark No 
Azure DevOps Labs Yes 
Datafold No 
Delta Lake No 
Elasticsearch No 
Google Cloud BigQuery No 
Google Cloud Platform No 
IBM Db2 No 
MySQL No 
OpenMetadata No 
Oracle Cloud Infrastructure No 
PostgreSQL No 
Snowflake No 
Vertica No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

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) No 
Online Support Yes 

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Amundsen

Country

United States

Website

www.amundsen.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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