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What is erwin Data Catalog?

Quest's erwin Data Catalog serves as an influential asset for metadata management, aiding organizations in comprehensively understanding both the nature and location of their data assets, which includes both static and dynamic datasets. This tool offers valuable insights into the data and associated metadata relevant to specific subjects, allowing users to efficiently identify pertinent sources and resources for thorough analysis and sound decision-making. By automating the processes of gathering, integrating, activating, and governing enterprise data according to business requirements, the erwin Data Catalog not only boosts accuracy but also accelerates the benefits gained from data governance efforts and digital transformation initiatives, which may include projects related to data warehouses, data lakes, data vaults, and cloud migrations. Proper management of metadata is vital for achieving long-term data governance success and is fundamental for any initiative that relies on data to achieve favorable results. The erwin Data Catalog enhances a variety of functions, such as enterprise metadata management, data mapping, cataloging, code generation, data profiling, and tracking data lineage, ultimately leading to improved efficiency in overall data management practices. Consequently, organizations are empowered to leverage their data more effectively, paving the way for strategic advantages and superior operational performance, thereby setting the stage for future growth and innovation.

What is Acryl Data?

Address the challenge of neglected data catalogs with Acryl Cloud, which enhances the realization of value through Shift Left strategies tailored for data creators while providing an intuitive interface for users. This platform allows for the immediate identification of data quality concerns, automates anomaly detection to prevent future complications, and supports quick resolutions when issues do crop up. Acryl Cloud supports both push and pull methods for ingesting metadata, simplifying upkeep while ensuring the information remains trustworthy, up-to-date, and thorough. For smooth operations, data should work effortlessly. Go beyond basic visibility by utilizing automated Metadata Tests that continually uncover insights and highlight new avenues for improvement. By establishing clear asset ownership and applying automatic detection, efficient notifications, and temporal lineage for tracing the origins of issues, organizations can reduce confusion and shorten resolution times. Consequently, this leads to a more streamlined and productive data management framework, fostering a culture of continuous improvement and adaptability.

Media

Media

Integrations Supported

Amazon Redshift
Amazon SageMaker
Apache Airflow
Apache Hive
Apache Kafka
DataHawk
Google Cloud BigQuery
IRI Voracity
JSON
Looker
Metabase
MongoDB
Okta
Oracle Database
Redash
SQL Server
Slack
Snowflake
Vertica
dbt

Integrations Supported

Amazon Redshift
Amazon SageMaker
Apache Airflow
Apache Hive
Apache Kafka
DataHawk
Google Cloud BigQuery
IRI Voracity
JSON
Looker
Metabase
MongoDB
Okta
Oracle Database
Redash
SQL Server
Slack
Snowflake
Vertica
dbt

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Quest Software

Date Founded

1987

Company Location

United States

Company Website

www.erwin.com/products/erwin-data-catalog/

Company Facts

Organization Name

Acryl Data

Date Founded

2021

Company Website

www.acryldata.io

Categories and Features

Categories and Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

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