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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 Atlan?

Welcome to the modern data workspace, where discovering all your data assets, from tables to business intelligence reports, is made incredibly easy. Our sophisticated search technology, combined with an intuitive browsing interface, guarantees that finding the correct asset is straightforward. Atlan enhances the process of identifying low-quality data by automatically creating data quality profiles, which help users quickly recognize any existing issues. With capabilities such as automatic detection of variable types, analysis of frequency distributions, identification of missing values, and detection of outliers, Atlan addresses every facet of data quality management comprehensively. This platform streamlines the complexities associated with effectively governing and managing your data ecosystem. Furthermore, Atlan’s smart bots scrutinize SQL query histories to create data lineage maps and pinpoint personally identifiable information (PII), facilitating the development of dynamic access policies and ensuring robust governance. In addition, those who lack a technical background can easily conduct queries across multiple data lakes, warehouses, and databases thanks to our user-friendly, Excel-like query builder. Not only that, but seamless integrations with popular tools like Tableau and Jupyter also enhance collaboration around data, significantly changing the way teams collaborate and share insights. This comprehensive strategy not only empowers users but also cultivates a more data-driven culture across organizations, encouraging informed decision-making at every level. Ultimately, Atlan revolutionizes the way organizations interact with their data, paving the way for greater innovation and efficiency.

Media

Media

Integrations Supported

Amazon Redshift
Amazon S3
Apache Airflow
Apache Druid
Apache Pinot
Azure SQL Database
CockroachDB
Dagster
Delta Lake
Elasticsearch
Fivetran
Looker
MariaDB
Metabase
Microsoft Power BI
MongoDB
Spline
Tableau

Integrations Supported

Anomalo
Colrows

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

OpenMetadata

Date Founded

2021

Company Location

United States

Company Website

open-metadata.org

Company Facts

Organization Name

Atlan

Date Founded

2018

Company Location

India

Company Website

atlan.com

Categories and Features

Metadata Management

Not specified

Categories and Features

Big Data

Collaboration
High Volume Processing

Data Collaboration

Not specified

Data Contract

Not specified

Data Discovery

Contextual Search
Data Classification
Data Matching
Self Service Data Preparation
Sensitive Data Identification

Data Fabric

Not specified

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Policy Management
Roles Management

Data Lineage

Not specified

Data Management

Data Quality Control
Information Governance
Master Data Management

Data Quality

Data Discovery
Data Profililng
Master Data Management
Metadata Management

ETL

Data Quality Control
Job Scheduling
Metadata Management
Version Control

Master Data Management

Data Governance
Data Masking
Data Source Integrations

Metadata Management

Not specified

PIM

Data Quality Control
Documentation Management
Version Control

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