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features
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support

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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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

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 BigQuery
Google Cloud Platform
IBM Db2
OpenText Analytics Database (Vertica)
Oracle Cloud Infrastructure
PostgreSQL
Snowflake

Integrations

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 BigQuery
Google Cloud Platform
IBM Db2
OpenText Analytics Database (Vertica)
Oracle Cloud Infrastructure
PostgreSQL
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

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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