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What is OpenMetadata?

OpenMetadata functions as a holistic, open platform designed to integrate metadata, enhancing data discovery, observability, and governance through a unified interface. Leveraging a Unified Metadata Graph and over 80 pre-built connectors, it consolidates metadata from diverse sources including databases, pipelines, BI tools, and ML systems, which provides teams with a rich context to efficiently search, filter, and visualize their organizational assets. The platform is constructed on an API- and schema-first framework that enables flexible customization of metadata entities and relationships, allowing businesses to define their metadata architecture with accuracy. With just four core system components, OpenMetadata is designed for easy installation and operation, delivering scalable performance that allows both technical and non-technical users to collaborate effectively on tasks related to discovery, lineage tracking, quality assurance, observability, collaboration, and governance without requiring complex infrastructure. This adaptability positions it as an essential asset for organizations striving to maximize the potential of their data resources. Moreover, its user-friendly design fosters a collaborative environment where diverse teams can engage with data insights more intuitively.

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 Athena
Amazon Redshift
Amazon S3
Amazon SageMaker
Apache Airflow
Apache Druid
Apache Kafka
Apache NiFi
Apache Superset
ClickHouse
Databricks
Delta Lake
Elasticsearch
MariaDB
Microsoft Power BI
Redash
SQLAlchemy
Salesforce
Tableau
Vertica

Integrations Supported

Amazon Athena
Amazon Redshift
Amazon S3
Amazon SageMaker
Apache Airflow
Apache Druid
Apache Kafka
Apache NiFi
Apache Superset
ClickHouse
Databricks
Delta Lake
Elasticsearch
MariaDB
Microsoft Power BI
Redash
SQLAlchemy
Salesforce
Tableau
Vertica

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

OpenMetadata

Date Founded

2021

Company Location

United States

Company Website

open-metadata.org

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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