Reviews from AWS Marketplace
0 AWS reviews
-
5 star0
-
4 star0
-
3 star0
-
2 star0
-
1 star0
External reviews
External reviews are not included in the AWS star rating for the product.
Best-in-class Active Metadata Management Tool
What do you like best about the product?
1. Atlan is deeply committed to innovation. Its products, such as Atlan AI and Atlan Mesh, are redefining the concept of an Active Metadata Management tool, also known as a data catalog.
2. The customer support and customer solutions teams at Atlan are highly engaged in helping clients achieve their goals. They often create custom packages or solutions to meet specific needs.
3. Atlan’s Chrome extension is noteworthy. It offers the convenience of an embedded Atlan solution within Databricks, Power BI, Google Chrome, and other platforms, eliminating the need to switch between applications. This seamless integration enhances user experience and productivity.
2. The customer support and customer solutions teams at Atlan are highly engaged in helping clients achieve their goals. They often create custom packages or solutions to meet specific needs.
3. Atlan’s Chrome extension is noteworthy. It offers the convenience of an embedded Atlan solution within Databricks, Power BI, Google Chrome, and other platforms, eliminating the need to switch between applications. This seamless integration enhances user experience and productivity.
What do you dislike about the product?
While the product documentation is publicly available, some of it is outdated, which can sometimes lead to confusion among clients. Additionally, information about bugs and fixes is not readily available on the official website. Once a request is opened, it’s currently not possible to assign a priority level to it. This is an area that could benefit from improvement.
What problems is the product solving and how is that benefiting you?
Previously, Data Discovery was only available for a select few data and analytics roles. However, Atlan has provided the opportunity to leverage data quality from data assets through impact analysis and root cause analysis.
With Atlan’s workflow features, metadata and lineage curation have become possible. The tool also allows for the massive import of Business Metadata with custom packages and automation (playbooks).
Reporting analytics is another key feature of Atlan. It generates insights from tool usage, providing valuable data such as the number of weekly active users, the number of curated assets, assets with lineage, popularity, and more. This information can be instrumental in understanding user engagement and improving the overall user experience.
With Atlan’s workflow features, metadata and lineage curation have become possible. The tool also allows for the massive import of Business Metadata with custom packages and automation (playbooks).
Reporting analytics is another key feature of Atlan. It generates insights from tool usage, providing valuable data such as the number of weekly active users, the number of curated assets, assets with lineage, popularity, and more. This information can be instrumental in understanding user engagement and improving the overall user experience.
- Leave a Comment |
- Mark review as helpful
Atlan: A New Cornerstone In Our Data Management Journey
What do you like best about the product?
Atlan seamlessly integrated into our modern data stack, with Snowflake and Sigma at its core. The integration with Sigma, empowered by the Chrome Plug-in, emerged as a standout feature for us, elevating user experience and adoption. With the Chrome extension, all users in our BI enviornement have an enriched experience with Atlan providing data definitions and lineage while also enabling users to submit Jira tickets without leaving Sigma.
What do you dislike about the product?
The Atlan University is a great resource and training tool. However, the format of the short videos without seamless transitions could be improved.
What problems is the product solving and how is that benefiting you?
Our initial use case was finding a tool that could enhance our Data Governance strategies. However, when evaluating the product we found feature after feature that could either enhance user experiences, increase efficency, or identify cost optimization opportunities. Atlan quickly solved our Data Governance use case, but it also became a cornerstone for creating an enriched data enviorment through the creation of data glossaries, adding content and tags to objects via automated playbooks, and creating an opportunity to explore data and where it comes from through the lineage functions.
New Data Governance Strategy Easily Implemented with Great Platform
What do you like best about the product?
1.) Using lineage to conduct impact and root cause analyses to clean up our data. We were in the middle of a data re-architect before bringing in Atlan and now having it we can easily spot assets without queries or downstream attachments for clean-up and deprecation.
2.) Easy to use and intuitive UI, the browser extension is icing on the cake, end users can view information in Atlan without having to switch from their current screen to the platform, which is going to aid immensely in adoption. We've had users already solve issues using Atlan with little to no training.
3.) Customization features from personas and policies, to customizable messaging and scorecards to ensure integrity and accuracy the first time.
2.) Easy to use and intuitive UI, the browser extension is icing on the cake, end users can view information in Atlan without having to switch from their current screen to the platform, which is going to aid immensely in adoption. We've had users already solve issues using Atlan with little to no training.
3.) Customization features from personas and policies, to customizable messaging and scorecards to ensure integrity and accuracy the first time.
What do you dislike about the product?
1.) Some of the sublayers in licensing privileges are not clearly delineated and need to be specified at the persona level which could cause overages. A great example is insights licenses are not granted at the individual level.
2.) Atlan only goes to the tile level in Looker, it would be nice if they went all the way to the calculation for lineage and specificity without having to manually define it.
3.) The UI has basic spelling and grammar errors that could be cleaned up.
2.) Atlan only goes to the tile level in Looker, it would be nice if they went all the way to the calculation for lineage and specificity without having to manually define it.
3.) The UI has basic spelling and grammar errors that could be cleaned up.
What problems is the product solving and how is that benefiting you?
- Curate sources of truth for data, document processes and definitions in one place, ensure relevance with periodic reminders.
- Implement standard communication processes.
- Mapping data from source to destination for root cause and impact analysis
- Permission and access governance
- Standardization across the tech stack
- Scorecards on metadata reporting to ensure maximum business ROI
- Implement standard communication processes.
- Mapping data from source to destination for root cause and impact analysis
- Permission and access governance
- Standardization across the tech stack
- Scorecards on metadata reporting to ensure maximum business ROI
Nelnet: Active Metadata Solution Review
What do you like best about the product?
Intuituve UI, connectors align well with current data stack, and customer support engagement has been responsive and insightful. Product is well documented for our intended use.
What do you dislike about the product?
Playbook and readme template library would be an improvement.
What problems is the product solving and how is that benefiting you?
Atlan is being implemented as Nelnet’s active metadata platform to will help us maintain a more context rich line of sight into our environment, serve as both a technical and business metadata repository, and provide lineage from data source to reporting.
Industry leader in data cataloguing through active metadata.
What do you like best about the product?
1. Usability and UI really stands out
2. Alignment with the modern data stack and brilliant integartions with tools like Snowflake
3. Support team with a wealth of knowledge
4. A Wealth of capabilities and features with customisation through playbooks which is really helpful for things like classification tags.
5. Out of the box reporting with customisation
6. Speed to delivery, innstance was setup in less than 48 hours
7. AI and Machine learning capabilities for automation curation, speeds up defitions anf approvals
2. Alignment with the modern data stack and brilliant integartions with tools like Snowflake
3. Support team with a wealth of knowledge
4. A Wealth of capabilities and features with customisation through playbooks which is really helpful for things like classification tags.
5. Out of the box reporting with customisation
6. Speed to delivery, innstance was setup in less than 48 hours
7. AI and Machine learning capabilities for automation curation, speeds up defitions anf approvals
What do you dislike about the product?
Some improvement areas would be:
1. Improvements to integartions with Excel which is coming soon.
2. Customisable profiling rule, OOTB capabilities dont allow you to customise profiles, although this can be worked around through querying.
3. More customisation with reporting
1. Improvements to integartions with Excel which is coming soon.
2. Customisable profiling rule, OOTB capabilities dont allow you to customise profiles, although this can be worked around through querying.
3. More customisation with reporting
What problems is the product solving and how is that benefiting you?
We are building Atlan as the single UI for all of our data users, proving transparancy in how data is curates, calculated and owned. Speeding up delivery through self service for our global analysts and supporting our efforts in validating our data estate
Give your data governance initiative a jump start with Atlan!
What do you like best about the product?
1. Rich data lineage with easy setup and readability
2. Automation capabilities to propagate data tags are user intuitive and easy to configure
3. User interface is consistent and easy to navigate
2. Automation capabilities to propagate data tags are user intuitive and easy to configure
3. User interface is consistent and easy to navigate
What do you dislike about the product?
1. Submitting issues and enhancements is easy but often results in limited insight into the path to resolution from the support team
2. Out of the box reporting capabilities exist but have a significant opportunity for improvement
3. Data profiling feature as it is provides little to no value and would be extremely beneficial if customer feedback was incorporated into the offering
2. Out of the box reporting capabilities exist but have a significant opportunity for improvement
3. Data profiling feature as it is provides little to no value and would be extremely beneficial if customer feedback was incorporated into the offering
What problems is the product solving and how is that benefiting you?
Altan is helping us solve the need for a scablable platform that enables active data governance and supports our data stewards. The concept of playbooks is fantastic and allows you to classify your data assets through automation at scale.
Next generation data cataloging, discovery and governance
What do you like best about the product?
Atlan's integration capabilities have impressed our data engineering team, providing a seamless setup experience.
The user experience (UI) of Atlan deserves special mention. Its intuitive interface simplifies navigation and usage, making it a powerful tool for metadata management.
Additionally, the considerable engagement demonstrated by the Atlan Account Executive and Engineer contributed to a seamless tool evaluation process. The Customer Success Management program played a crucial role in effectively planning and executing the rollout process.
The user experience (UI) of Atlan deserves special mention. Its intuitive interface simplifies navigation and usage, making it a powerful tool for metadata management.
Additionally, the considerable engagement demonstrated by the Atlan Account Executive and Engineer contributed to a seamless tool evaluation process. The Customer Success Management program played a crucial role in effectively planning and executing the rollout process.
What do you dislike about the product?
Depending on a company's maturity level, the multitude of features provided by Atlan can be overwhelming. While these features hold significant potential, their abundance might prove to be overpowering for new users, potentially hindering their ability to fully leverage Atlan's capabilities.
What problems is the product solving and how is that benefiting you?
Atlan helps to address a range of data management challenges:
1. Search and Discoverability: Atlan's robust features enable effortless search and discovery of data assets. This enhanced accessibility facilitates data-driven decision-making.
2. Data Lineage: Atlan's capabilities in providing data lineage offer a comprehensive view of data journeys, contributing to better understanding and analysis.
3. Ownership, Governance, and Access Management: Atlan's features ensure clear ownership and governance of data assets.
4. Reducing Dependency on Data Personnel: By serving as a comprehensive repository of information about data assets, Atlan results in improved work efficiency and accessible data-related context.
1. Search and Discoverability: Atlan's robust features enable effortless search and discovery of data assets. This enhanced accessibility facilitates data-driven decision-making.
2. Data Lineage: Atlan's capabilities in providing data lineage offer a comprehensive view of data journeys, contributing to better understanding and analysis.
3. Ownership, Governance, and Access Management: Atlan's features ensure clear ownership and governance of data assets.
4. Reducing Dependency on Data Personnel: By serving as a comprehensive repository of information about data assets, Atlan results in improved work efficiency and accessible data-related context.
A great product, with even better potential.
What do you like best about the product?
What I appreciate most about Atlan is its emphasis on collaboration and automation. Its ability for data discussions and annotations make it a truly collaborative platform, stimulating efficient dialogue among data teams. This increased level of collaboration often leads to enhanced data understanding and more insightful decision-making.
The platform's automation also plays a significant role in its appeal. In just a few clicks, we can automate repetitive tasks, allowing us to focus our time and energy on providing insights rather than wrestling with tedious data management tasks.
Combined with its robust data governance capabilities and comprehensive audit trails, Atlan simplifies data oversight and assists in staying compliant with data protection regulations. Overall, Atlan's dedication to fostering an easy, collaborative, and compliant data environment is what I find most compelling.
The platform's automation also plays a significant role in its appeal. In just a few clicks, we can automate repetitive tasks, allowing us to focus our time and energy on providing insights rather than wrestling with tedious data management tasks.
Combined with its robust data governance capabilities and comprehensive audit trails, Atlan simplifies data oversight and assists in staying compliant with data protection regulations. Overall, Atlan's dedication to fostering an easy, collaborative, and compliant data environment is what I find most compelling.
What do you dislike about the product?
Despite its myriad of features, Atlan has one significant setback that can affect new users most: its onboarding process. Getting up to speed with Atlan's tools and functionalities can be quite challenging due to the steep initial learning curve. This might be attributed to its wealth of features and capabilities which, while beneficial in the long run, can overwhelm users.
What problems is the product solving and how is that benefiting you?
Atlan has been instrumental in addressing several critical data management issues in our workflow. To begin with, as an organization with colossal volumes of data to work with, finding the right data when needed used to be like looking for a needle in a haystack. Thanks to Atlan's data catalog and discovery capabilities, we've managed to centralize our data resources, making it much easier to access and discover the right data when we need it.
When it comes to team collaboration, Atlan has been great. Before using Atlan, collaboration on data projects used to be complicated, lengthy, and prone to miscommunication. With Atlan's rich-sharing and collaborative features, all members of the team can collaborate on shared data assets, add their input, and make decisions collectively in real-time, leading to more cohesive collaboration and decision-making.
Data governance and compliance is another critical area where Atlan has proven invaluable. Atlan's automated compliance checks and comprehensive audit trails have made maintaining compliance a much more effortless process. This feature not only minimizes risks but also offers peace of mind, knowing that we are handling data ethically and responsibly.
In essence, Atlan has played a pivotal role in streamlining our data processes, promoting data democratization, ensuring compliance, and fostering better collaboration within our data teams.
When it comes to team collaboration, Atlan has been great. Before using Atlan, collaboration on data projects used to be complicated, lengthy, and prone to miscommunication. With Atlan's rich-sharing and collaborative features, all members of the team can collaborate on shared data assets, add their input, and make decisions collectively in real-time, leading to more cohesive collaboration and decision-making.
Data governance and compliance is another critical area where Atlan has proven invaluable. Atlan's automated compliance checks and comprehensive audit trails have made maintaining compliance a much more effortless process. This feature not only minimizes risks but also offers peace of mind, knowing that we are handling data ethically and responsibly.
In essence, Atlan has played a pivotal role in streamlining our data processes, promoting data democratization, ensuring compliance, and fostering better collaboration within our data teams.
Atlan has been a powerful tool for me as a Product Manager
What do you like best about the product?
'Build query' feature is a great tool for people without expertise SQL and is also a great way to learn more about how to build SQL queries.
What do you dislike about the product?
No way to easily import csv files to include in Join functions or in build query feature.
What problems is the product solving and how is that benefiting you?
Ease of access to tables across our data lake. Ease of joining data across our data lake.
Data Cataloging Simplicity
What do you like best about the product?
Atlan is great for our data stakeholders to be able to easily find data in our data lake. There is data that some stakeholders didn't know existed. In addition, their Insights feature makes it very easy for someone with limited SQL experience to query data.
What do you dislike about the product?
One of the downsides is a feature that we haven't been able to use yet. They have the ability to create data lineage from your metadata. Unfortunately, our data is stored in Athena which isn't currently supported.
What problems is the product solving and how is that benefiting you?
We used to keep our data dictionaries in an Excel spreadsheet and our data engineers had to make modifications to the sheet every time a table was modified. With the introduction of Atlan, our stakeholders were able to access the data and we were able to have it automatically update the metadata when tables were modified. This meant our data engineers could focus on creating new pipelines and doing the transformations we needed. It increased productivity because the data support questions could often be answered by Atlan.
showing 31 - 40