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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.
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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.
Amazing Resource for Data Dictionary
What do you like best about the product?
Atlan has decreased the time it takes to research our internal data sources and the relationships data within our warehouses. As a data engineer, it's also alleviated our team of being the single source of knowledge for the definitions of our data.
What do you dislike about the product?
There's a query option within Atlan that I don't have much use for. The data preview is extremely useful, but any sort of query development is much better served or accomplished with another tool that we have because those other tools are more robust.
What problems is the product solving and how is that benefiting you?
When I look at data within our data warehouse, I sometimes do not know the definitions of specific metrics or the source. The data dictionary within Atlan forces us as engineers to take the design thinking we used to build pipelines, data tables, views, etc and define it for the larger organization. It also supports historical data understanding and architecture to make decisions for new products that we engineer for our stakeholders. Atlan provides the means for us to investigate, design and define the data that we are ingesting and use on a daily basis.
Great experience! The simplicity allows for a great user experience.
What do you like best about the product?
The search option for looking up data sources/fields is beneficial. I believe this is the most used resource due to the data in our databases. The ability to add definitions to the fields ensures the correct data source is selected.
What do you dislike about the product?
Atlan has a lot to offer, but knowing what all Atlan can be used for is challenging.
What problems is the product solving and how is that benefiting you?
Atlan solves the issues of locating data tables and fields. The search ability helps users find the proper data source to complete their job functions without depending on a specific team to point them to the correct source.
Modern Catalog with E2E Visibility
What do you like best about the product?
Atlan has built-in first party integrations with Snowflake, PowerBI, Sigma, Fivetran, and dbt.
Instead of relying on engineering teams to spend months at a time to integrate to Atlan, we can get quickly up and running in weeks, if not days.
Atlan has one of the strongest data lineage parsing mechanisms out there that creates a comprehensive data lineage view of data assets from Snowflake database tables / views to the models that transform them, and even exposes through to PowerBI.
The interface is easy to use and bridges the gap between technical metadata and business contexts of datasets with the glossary of the organization.
Its true strength is enabling a single collaboration area between engineers, analysts, and business users alike to empower organizations to become data centric.
Instead of relying on engineering teams to spend months at a time to integrate to Atlan, we can get quickly up and running in weeks, if not days.
Atlan has one of the strongest data lineage parsing mechanisms out there that creates a comprehensive data lineage view of data assets from Snowflake database tables / views to the models that transform them, and even exposes through to PowerBI.
The interface is easy to use and bridges the gap between technical metadata and business contexts of datasets with the glossary of the organization.
Its true strength is enabling a single collaboration area between engineers, analysts, and business users alike to empower organizations to become data centric.
What do you dislike about the product?
Although Atlan is expanding into various integrations across the ecosystem, there needs to be a way to accelerate the first party integrations to other strong ecosystem partners like Coalesce and Soda.
What problems is the product solving and how is that benefiting you?
In our organization, our analysts and engineers are spending an outsized amount of time answering questions about data.
This is due to a combination of different factors where ultimately, we lack the ability to have visbility and transparency across the data assets in our organization.
Atlan will be solving this by providing a holistic view of our datasets from source to reports that will then empower our business users to self service their own questions across data.
This is due to a combination of different factors where ultimately, we lack the ability to have visbility and transparency across the data assets in our organization.
Atlan will be solving this by providing a holistic view of our datasets from source to reports that will then empower our business users to self service their own questions across data.
Next Generation Data Governance
What do you like best about the product?
Clean, user friendly interface. Was relatively painless to get all of our data sources added in quickly and we had all of our sources supported right out of the box. Beyond the obvious usefulness of end to end lineage, that mining features are also great for understanding what tables and columns are most used, and even helps identifying slow or expensive queries. Chrome extension allows users to get to information without switching applications and Teams integration helps keep questions centralized and front of mind for the org. Support and Customer Success have been great to work with. Upcoming AI features will make managing the platform with minimal staff even easier, and should also help drive user adoption through ease of use.
What do you dislike about the product?
One function I would like to see added is the ability as an admin to see the application as a particular user does. With personas and purposes you can deeply customize what a user can see and do and having the ability to quick validate that instead of needing test accounts would be a timesaver.
Additionally the text editing in the Glossary is extremely basic and needs simple functions like Undo added.
Additionally the text editing in the Glossary is extremely basic and needs simple functions like Undo added.
What problems is the product solving and how is that benefiting you?
Atlan is making it easier for business users to understand exactly how metrics are being calculated, where that data is coming from, and if there are any known issues with it. Combination of the data lineage and glossary removes all of the mystery behind where numbers are coming from and will increase confidence in the accuracy of what they are seeing. This also frees up the data team to focus on future enhancements instead of spending so much time answering questions and chasing down issues.
Atlan as the ideal interactive business metric catalog product
What do you like best about the product?
Atlan provides not only a robust product for metadata management, but also a great customer experience in terms of both UI as well as implementation support.
I especially liked the seamless integration with our data assets hosted in BigQuery and Looker.
Our Customer Success Manager and his team were extremely helpful during the rollout and provided various practical advice on how to engage the relevant teams in my company.
I especially liked the seamless integration with our data assets hosted in BigQuery and Looker.
Our Customer Success Manager and his team were extremely helpful during the rollout and provided various practical advice on how to engage the relevant teams in my company.
What do you dislike about the product?
As the product is complex and dynamic (improvements keep on coming), there were a few cases where it did not work perfectly. Fortunately, all operational issues were rather quickly (hours-days) resolved by the helpful support team.
What problems is the product solving and how is that benefiting you?
The main use case for us is the introduction of a single source of truth for business metric definition, including live links to our data assets (DB & BI tools) and additional information about the business metrics (ownership, description, links to other documentation etc.)
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