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Exceptional Data Cataloging Tool for Metadata Management
What do you like best about the product?
Atlan's modern and intuitive UI facilitates quick onboarding for new users.
The Chrome extension and metadata discovery within preferred tools are highly valued features.
Lineage tracking between data platforms and drill-down to column-level lineage aids in investigations.
The tailored implementation blueprint helped us focus on the right tasks.
Atlan's wide range of supported integrations and ease of integration are commendable.
The Chrome extension and metadata discovery within preferred tools are highly valued features.
Lineage tracking between data platforms and drill-down to column-level lineage aids in investigations.
The tailored implementation blueprint helped us focus on the right tasks.
Atlan's wide range of supported integrations and ease of integration are commendable.
What do you dislike about the product?
Documentation updates were inconsistent, potentially due to rapid development.
What problems is the product solving and how is that benefiting you?
We has a collection of data from widely different sources and teams find it dfficult to locate and understand the data they need. By making it all searchable under a single tool is helping a lot. Alongside that, the business glossary is helping teams collaborate and define terms to agree upon.
Lineage across tools and the chrome extension has made it very helpful and easy for teams to adapt to the tool.
Lineage across tools and the chrome extension has made it very helpful and easy for teams to adapt to the tool.
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Easy to use
What do you like best about the product?
The tool is very intuative to navigate, making it so we don't have to do a lot of training for new users. Implimentation was also easy and their customer support has been great!
What do you dislike about the product?
The lack of flexibility around custom fields.
What problems is the product solving and how is that benefiting you?
We have a way for business users to easily document trible knowlage, link business terms to technical assets so people can self serve on knowing where in the database to get data and knowing the definitions of the data they are using. Allows our technical teams to have a diagram of how lineage.
Atlan - AI based metadata management for datalakes
What do you like best about the product?
Atlan provides detailed metadata on data plarforms, It can connect to several data lakes and warehouses and fetches information like usage, lineage, table and column descriptions, no of queries, table level activities etc. It enables data lake warehouse usage analytics easy and user friendly. AI generated suggestions for deble and column description feature is also usful. Integration with communication tools like Slack save time to communicate and describe tables to users
What do you dislike about the product?
Sometime Atlan is bit slow to load all information about a data asset, which can deter users. Role based access mechanism is useful for user authorization, but sometime it is confusing if you have access to multiple roles.
What problems is the product solving and how is that benefiting you?
Previously it used to take a lot of time find usage details, lineage information, quality information about a data product. Now, Altan showcases all metadata information about all data assests in a central place. Its hugely time saving for data engineers, analysts, and data scientis to get information about the product. Data assets can be easily shared accross by integrated communication tools like Slack. Overall it plays a crucial role in the journey of data analytics democratization throughout the organization.
Best in Class Data Catalog
What do you like best about the product?
It is one of the best data catalogs in the market and I would say it has the best UX. It is easy to adopt and is designed to be close to where your users are looking at data (It has a plugin), which makes adoption a lot easier.
We are still rolling out all the features, but so far we have seen a lot of value, specially using the lineage functionality.
We are still rolling out all the features, but so far we have seen a lot of value, specially using the lineage functionality.
What do you dislike about the product?
It would be great if they had an easy way to add assets they have no connectors for. While the APIs are great, one of the reasons we selected them, there are tools where using engineering resources is too expensive or the tool we want to connect to does not have APIs. I understand we would not have all the features the API or the connector gives us, but it will not stop us from adding ALL data related reports in Atlan. Right now, we found a hack using Glossaries, but it would be ideal if they could make that available without hacks.
What problems is the product solving and how is that benefiting you?
It is making it easy for our users to discover our data assets and self-serve themselves at scale.
It is saving us a lot of time when we need to do an impact analysis e.g. what assets will be impacted downstream from making this change in our warehouse.
It is helping us streamline how we manage our data assets and making it the central place for all things data. Data consumers can submit tickets on a dashboard that has a bug or if they have an idea. It is a repository of all our knowledge around specific assets.
It is saving us a lot of time when we need to do an impact analysis e.g. what assets will be impacted downstream from making this change in our warehouse.
It is helping us streamline how we manage our data assets and making it the central place for all things data. Data consumers can submit tickets on a dashboard that has a bug or if they have an idea. It is a repository of all our knowledge around specific assets.
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.
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.
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.
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.
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