Name: Atlan - Modern Data Workspace [Demo]
Uploaded: 2020-03-12T15:45:28.000Z
Duration: 3 min 1 s
Description: Atlan is the modern data workspace for the data team of the 21st century. SIgn up for a free trial now!

Help Desk

Web and Video Conferencing

Customer Support

Help Authoring

JavaScript Frameworks

Mind Mapping

Mobile App Development

Push Notifications

Software Configuration Management

Development

Business Intelligence (BI)

Collaboration

Data Discovery and Visualization

Embedded Business Intelligence (BI)

Enterprise Generative AI

Partner Relationship Management

Enterprise

Accounting

Spend Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Employee Monitoring

HR Management

Job Board

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Cloud Storage

Content Delivery Networks (CDN)

Data Quality

Data Virtualization

Distributed Denial of Service (DDoS) Protection

Extended Detection and Response (XDR)

Fraud Detection

Identity Governance and Administration

Identity Management

Infrastructure-as-Code (IaC)

Integration Platform as a Service (iPaaS)

Managed Print

Mobile Data Security

Monolithic Frame-based Disk Arrays

Network Performance Monitoring

Relational Databases

Scale-Out Storage

Secure Email Gateway

Smart Contracts

Tower Servers

Virtual Private Network (VPN)

Information Technology

A/B Testing

Ad Serving & Retargeting

Advertising Agency

All-in-One Marketing

Appointment Scheduling

Competitive Intelligence

Content Management

Direct Mail Automation

Email Marketing

Email Testing

Marketing Automation

Social Media Management

Survey & Forms Building

Text to Speech

Virtual Event

Web Analytics

Marketing

Project Management

Task Management

Professional Services

Customer Relationship Management (CRM)

Sales Intelligence

Sales

Antivirus

Security

Estate Planning

Insurance Policy Administration Systems

Insurance Underwriting and Rating

Mental Health

Public Transportation

Trucking Software

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### Data Discovery
Users generally praise Atlan for its robust data discovery capabilities. They appreciate the platform's ability to facilitate quick and efficient data understanding, aiding in onboarding new team members and enhancing DataOps processes. The integration with various tools like Snowflake and Power BI provides rich insights into analytical data assets, while the visual data lineage feature helps users trace the flow of data throughout the organization. Additionally, the powerful search capabilities and collaborative features contribute to making data assets easily discoverable and accessible across teams.

### Data Integration
Users consistently highlight Atlan's data integration capabilities as a key strength of the platform. They appreciate the ease of setting up integrations with modern data stacks and the platform's ability to seamlessly connect with various tools and technologies. Reviewers also mention the value of Atlan's native integrations with popular data platforms like Snowflake, DBT, and PowerBI, which simplifies the process of managing and analyzing data across different systems. Despite some minor concerns about pending integrations and limitations with certain technologies, users generally express satisfaction with Atlan's data integration features and the support provided by the team.

### Asset Management
Users generally believe that Atlan's data lineage capabilities are a standout feature. When it comes to asset management, reviewers appreciate Atlan's ability to provide a centralized repository for metadata, making it easier to manage data assets across various platforms such as S3, Tableau, Redshift, Snowflake, and BigQuery. The platform's emphasis on making data assets discoverable through simple and broad search capabilities has been well-received, enabling users to quickly find relevant data along with its context. Additionally, Atlan fosters collaboration and trust by consolidating tribal knowledge from different teams into one accessible location, reducing dependencies between business, analysts, and engineers. The visual lineage feature that showcases dependencies between data objects and how data flows throughout the organization has also been commended for enhancing asset management within Atlan.

### Data Governance
User consensus seems to be that Atlan excels in data governance capabilities. Reviewers appreciate the platform's ability to serve as a central repository for managing metadata, facilitating data governance, enhancing data awareness, and promoting data adoption. Users find the features intuitive and suitable for identifying required properties, with a flexible implementation process and outstanding customer experience. Atlan's emphasis on data governance, including business glossary, data dictionary, data lineage, and collaboration tools, has garnered positive feedback for its effectiveness in enabling teams to search, discover, and manage data assets efficiently.

### Data Management
Users generally praise Atlan for its robust data management capabilities. They appreciate the platform's ability to centralize metadata, provide a comprehensive data dictionary, and facilitate efficient cataloging of assets. Reviewers highlight the ease of navigating and understanding the organization's data assets, as well as the platform's role in enhancing data governance and data awareness. Atlan's features such as visual lineage, metadata management, and data documentation have been particularly lauded for streamlining data operations and promoting collaboration among teams. Despite some initial challenges reported by users, Atlan's continuous improvements and responsive customer support have contributed to its positive reputation in the realm of data management.

### Data Quality
User sentiment towards Atlan's data quality capabilities is predominantly positive, with users highlighting the platform's effectiveness in ensuring the accuracy, integrity, and reliability of their data assets. The robust data quality checks and lineage features have been commended for aiding in the identification and rectification of errors in critical business reports. Additionally, the integration with dbt and the responsive customer success team have further enhanced the overall data quality management experience for users. Atlan's ability to centralize metadata from various data sources and provide comprehensive visibility into data lineage has significantly contributed to improving work velocity and fostering collaboration across teams. The platform's emphasis on data quality has not only increased access to trustworthy data but also empowered users to perform self-serve analytics and reduce dependencies on data personnel for information, ultimately driving automation and efficiency in data management processes.

### Data Analysis
Users consistently praise Atlan's robust data analysis capabilities. They highlight the platform's efficiency in conducting impact analysis, generating insightful queries, and providing valuable data insights. Reviewers appreciate the ease of understanding complex data structures and the time-saving features that streamline the analysis process. Atlan's data analysis functionality is regarded as a key strength by users, enabling them to make informed decisions and drive data-driven strategies with confidence.

### Data Visualization
Users consistently highlight Atlan's data visualization prowess, particularly in its ability to provide clear and insightful visualizations of data lineage, connections between various data assets, and the flow of data throughout the organization. The integration with tools like Tableau and Power BI is lauded for enhancing the visualization experience and making it easier for non-analytical teams to interact with data effectively. Despite some minor challenges and feature requests, users appreciate Atlan's commitment to actively listening to feedback and continuously improving its data visualization capabilities.

### Reporting and Metrics
Users generally believe that Atlan excels in its data analysis and reporting capabilities, as highlighted in the reviews provided. Reviewers consistently praise Atlan for its robust reporting and metrics functionalities, emphasizing the platform's ability to provide clear and comprehensive definitions for business terms and metrics. The integration with tools like Snowflake and Power BI is lauded for offering rich data insights and visual data lineage. Additionally, users appreciate the collaborative features that enable knowledge sharing and alignment on the understanding of terms. Despite some minor challenges and areas for improvement, such as the need for better integration with certain tools and a more streamlined user interface, Atlan's reporting and metrics capabilities are generally well-received by users.

### User Experience
Users consistently highlight Atlan's user experience as a standout feature, emphasizing its simplicity and ease of use. The intuitive interface and responsive support contribute to a positive user perception. While some users mention minor areas for improvement, such as the integration of certain features, overall feedback indicates a strong satisfaction with Atlan's user experience capabilities. The company's commitment to continuous improvement and user-centric design is evident in the positive experiences shared by reviewers.

### Collaboration Tools
Users across various industries have expressed high satisfaction with Atlan's collaboration tools, particularly highlighting the ease of integration with popular platforms like Slack and JIRA. The ability to streamline communication and enhance teamwork has been a standout feature for many reviewers. While some users have mentioned minor limitations in the integrations, the overall consensus leans towards Atlan's collaboration tools being a valuable asset in fostering efficient collaboration among teams.

### Search Optimization
Users consistently praise Atlan for its search optimization functionality, highlighting its intuitive nature and ease of use. The platform's ability to streamline the search for metadata and data assets across various databases has been well-received, with users noting that it simplifies the process of tracking ownership and monitoring table status. Additionally, Atlan's search optimization features have been commended for their role in enhancing data discovery and query sharing within organizations. The general sentiment among users is that Atlan's search optimization capabilities contribute significantly to a more efficient and user-friendly data management experience.

### Customer Support
User sentiment regarding Atlan's customer support is predominantly positive, with many reviewers highlighting the exceptional responsiveness and dedication of the support team. Customers appreciate the team's availability, patience, and willingness to assist at any time, making them feel like valued partners rather than just clients. While some users mentioned occasional confusion or lack of knowledge in certain areas, the overall consensus is that Atlan's customer support is a strong asset that significantly enhances the user experience.

Ineffective Search Functionality: Numerous users have expressed dissatisfaction with the search feature in Altan, as it fails to deliver accurate and relevant results. Moreover, they have reported issues regarding slow page loading and subpar search result quality, which have been duly communicated to the Altan team.

Complex Setup for Personas and Roles: Users have encountered difficulties when attempting to set up personas and roles in Altan. This has impeded their ability to effectively utilize these features. Some users have also highlighted the need for platform administrators to have greater control in creating admin roles and previewing assuming roles.

Limited Integration Options: Several users have voiced their desire for better integration capabilities with tools such as Airflow or bug detection systems. They feel that the current integration options provided by Altan are lacking. Additionally, users mentioned that Altan's compatibility with communication tools like Slack and JIRA is not sufficiently developed.

Lineage Feature: The lineage feature of Atlan is highly valued by users, with many reviewers considering it the most valuable aspect of the tool. They appreciate how seamlessly it connects with Jira and Slack, enabling a smooth and efficient experience for data tracking and collaboration.

Ease of Access to Data Tables: Users highly praise the ease of access and organization of data tables in Atlan. They find it simple to retrieve the information they need using SQL without any unnecessary complications. The clear organization and descriptions of tables facilitate efficient data discovery.

User-friendly Glossary: Many users describe the glossary feature in Atlan as user-friendly and collaborative. They appreciate its ability to define and document business terms and metrics, providing clear and consistent definitions. The glossary's powerful search capabilities allow for quick and specific searches for metrics or related information, complemented by seamless integration with data lineage and impact analysis features.

Atlan serves as a valuable tool for organizations by providing a central repository for data definitions and cataloging all assets in one place. Users have found it particularly useful for end users who can access Atlan directly from their reporting tool, such as Looker. This ability has allowed users to quickly answer questions and focus on decision-making rather than data manipulation. The implementation of the Notion glossary has provided users with valuable insights and learning experiences, leading them to transition to Atlan for serving the entire organization. Some challenges encountered include understanding and communication issues due to different metric definitions across teams, which required significant time and effort to align. However, Atlan addresses these challenges by facilitating data discovery and democratization, distributing data across the organization, empowering business teams with data independence, and centralizing metadata for collaboration between data consumers and owners. It also helps provide greater access to and trust in data, enabling self-serve analytics, decreasing dependencies on data personnel, and allowing automation around data information. Overall, Atlan provides a reliable source of truth for data governance, lineage, and documentation while streamlining workflows for data engineers and improving efficiency in managing metadata, ensuring accuracy, and reducing support requests. With its user-friendly interface and features like broad search capabilities, collaboration integrations, visualization of table ERDs, and documentation updates, Atlan offers an outstanding customer experience that simplifies understanding of data context, enhances collaboration between teams, enables self-serve query building and sharing, standardizes terminology for metrics and data definitions, improves support for report requests, reduces investigation time for identifying the meaning of data within the organization, assists in compliance efforts like GDPR and localization laws, performs impact analysis on pipelines or changes efficiently, supports QA and Dev lifecycle requirements and bug management. Ultimately, Atlan has become a valuable asset for organizations seeking efficient data management solutions.

Qlik Sense® Business

Qlik Sense® Enterprise SaaS

Qlik Catalog

Atlan

Data catalog software helps businesses find, validate, and organize their data assets. These products often include automated metadata discovery tools to help keep them comprehensive and relevant.

Data Catalog

Taken from the U.S. 4K disc release of Aquaman, this clips serves to demonstrate the pq2hlg utility I wrote to convert from HDR10 to HLG. The objective here in using HLG is to attain more universal playback. That is, YouTube should be able to generate a "good" BT.709 SDR representation of this HLG clip for playback on unsupported devices.

The tool can be found here: https://github.com/wswartzendruber/hlg-tools

pq2hlg -s 128 -m 1506 -l 0.664010624 pq2hlg.cube

HLG Demo: The Legend of King Atlan

Unveiling the all new Atlan: Atlan Activate (First Product Townhall) ⚡️

Atlan Data Governance Platform Demo

This video has been moved to our new Data Cloud Now Youtube Channel - check out the video here: 
➡️ https://youtu.be/tV229_FsGic

Checkout other Data Cloud Now videos here:
➡️ https://www.youtube.com/@DataCloudNow

Atlan, Snowflake And The Future Of Metadata At Wework

Allison Atlan Club Med Demo

chanson demo inédite / qu as tu fait de nous ?(D.Atlan/H.Drive)

DEMO IMPRO DANSE - ANGELIQUE ATLAN

How to use Data Lineage to Speed up Root Cause Analysis  — Data Lineage Demo on Atlan

Flowers - Erella Atlan (Rescore) - DEMO

BANDE DEMO PUB - ANGELIQUE ATLAN

Likelihood to Recommend

Atlan - Modern Data Workspace [Demo]

Atlan is the modern data workspace for the data team of the 21st century. SIgn up for a free trial now!

Inside Sales Representative

Atlan 2022-02-15 10:06:41

Informatica Cloud Data Marketplace

Mozart Data

Atlan 2022-04-11 23:23:43

TrustRadius is a technology and business research firm based in Austin, Texas. The company is known as a review platform for verified B2B technology and software reviews through a proprietary algorithm and human verification.

TrustRadius

Mobile application

Customer service

Overwhelming at times

Api documentation

Complete data

Provide clear

Service staff

Technical service

Support process

Data management

Data sources

Bi tools

User interface

Cloud security

Seamless integration

Information collected

Technical support team

Data visualisation

Explore data

Easy to extract

Home

Data Catalog Software

My team uses Atlan to define a flexible set of metadata - including measuring the quality of said data. Atlan is also a partner of ours so we use it to integrate with our own tool. It also enables the team to automate manual and high-risk tasks to make them error-free as much as possible. In terms of scope, I only know that our sales, CSM, and CX teams use it for similar uses. Our business may use it to a larger scope than that.

Extensive and seemless integrations
Tons of automation (in a good way)
Extremely user-friendly and intuitive to navigate

API documentation could be improved
Support team could be quicker in their response
Not a lot of "help" type information users can self-access

Atlan has certainly saved time and money by consolidating our metadata sets
Integrations with Amazon and Tableau have definetely sped up our time to value

Informatica Application ILM and Talend Data Catalog

Salesforce CMS, Tableau Server, Amazon Redshift

Atlan is very easy integrable with other data sources which is very convenient and time saving. By switching to Atlan we have increased our productivity and saved a lot of business time. Our team whether teach or non tech adapted atlan very quickly because of its simple UI and interface.

Here, it is very easy to extract and modify the data.
We can do very quick and smooth integration over here.
It's OpenSource framework provides extension capabilities to the API it uses

They should improve their support process by reducing the resolution time.
They have a really bad and not detailed documentation, so they should have to work on the documentation as well

Extraction of data
In this data catalogue solution data modification is really simple and easy
Integration with other software tool is very easy

Altan reduces our business time for dealing with the data.

Atlan

Overview

What is Atlan?