Atlan is easy to implement and integrate with existing systems. It can ingest data schemas from various systems and provides a clean user interface to add metadata such as tags. Atlan enables data and compliance teams to easily identify ownership, and sensitive or private data objects. Review collected by and hosted on G2.com.

The Atlan supplied tooling to ingest schema from PostgreSQL databases could use some dependency management as many of the dependencies contained vulnerabilities at the time of use. This tool was also only available for download by requesting a link and not available as a container image enabling automated updates. Review collected by and hosted on G2.com.

With Atlan we are able to connect across a breadth of systems that we rely upon to easily see where our data resides and identify which teams manage it. Connecting to systems was fairly straightforward and it has made searching for data artifacts much easier. This has helped in onboarding new data team members. Multiple new hires have commented on how simple it is to use and they frequently reqly upon it as a key tool in their toolbox. It has also assisted in bringing more of the organization into leveraging data more effectively. Review collected by and hosted on G2.com.

No really strong downsides to the product. Like many products Atlan tries to encourage a degree of product lock in but they are still open enough to allow for documentation and management to live in other tooling. Review collected by and hosted on G2.com.

Having used other tools in this space Atlan has a much better administrative and user experience than other tools.

•It was easy to set up and integrate with our tech stack.

•Navigating it feels intuitive which is critical to a metadata management system you need to put in front of multiple user personas.

They are also developing at a rapid pace which features getting releases each week and an eagerness to hear/respond to feedback. Some of the newer features aren't perfect but they are generally equiavalent to competitors and at the pace of development I see they pulling ahead.

Support has been great - we actually get responses from people that want to help instead of it going into a black hole. Review collected by and hosted on G2.com.

Would like to see usage reporting built into the product to help tell the story on its value and ensure we are positively driving adoption. Right now this is only available from a 3rd party source which wasn't mentioned to us and we'd have to get approval to use. Review collected by and hosted on G2.com.

1. End-to-end view of data lineage across our whole data lifecycle: Atlan perfectly integrates with large parts of our tool stack (Snowflake, DBT, Tableau, Salesforce, Fivetran), which gives us great transparency into our data flows & structures. Especially being able to identify & export dependencies have been pivotal for our data incident management and requirements analyses for changes in our data structure. In order to paint a full picture of our tool landscape, we would love to see additional integrations being published for rETL tools like Hightouch, data quality tools like Metaplane or additional CRMs like Hubspot & Zendesk.

2. Outstanding support from our CSM & Customer Support team: Our CSM serves as a trusted advisor when it comes to the overall architecture of the tool and general data governance best practices. His level of support & commitment for us to get the most value out of the tool is far above the average SaaS CSM support. For instance, our CSM introduced us to a dedicated internal Data Governance Consultant, who took multiple hours of time to share his experience and advise us on how to effectively implement data governance at our organisation.

Likewise, the Customer Support team exhibit impressive technical understanding & structured problem solving, providing us with very timely and deep analyses of any issues coming up.

3. Great pace of delivery for new features: Atlan regularly publishes highly relevant new product features at a fast pace. Very regularly, if we provide feedback around missing or non-optimal functionalities, it turns out that the respective feature is already on the roadmap and might even be released within the next couple of weeks. It has become very apparent that the product strategy is very much centered around customer feedback & pain points, which we appreciate a lot. Review collected by and hosted on G2.com.

1. Workflows/Playbooks: Atlan offers the Playbook functionality to automate metadata population, data owner assignments, tag assignments, etc. While this functionality has proven very useful already, I would love for the automation engine to become more powerful. Top features on our wish list would be event-based triggers, more effective approval processes, metadata propagation across lineage and outbound API call functionalities.

2. Pricing: While the Atlan team has been ensuring that pricing should not be a blocker for our data governance efforts, the list prices for connectors and member licenses are fairly high compared to other SaaS tools and only economical at high discounts.

3. Bugs: While Atlan publishes new features at a very strong pace, there are somewhat regular cases where features do not work as expected and need to be fixed by the engineering team. It's worth calling out that in those cases, the fixes are implemented very quickly as well, though!

4. Permission management: The general permission management based on Personas & Purposes is somewhat too complex compared to other SaaS tools and not very user-friendly. We would love for our users to immediately see all metadata and assets that they have access to rather than having to switch between personas & purposes. Review collected by and hosted on G2.com.

The best benefit of Atlan was the functionality for both front end users and our data engineering teams. Providing a common data glossary location tied directly with the data assets enabled us to make data more available and accessible to all data consuming teams. The flexibility in providing an area for data quality metrics to be visible right alongside each key dataset also provides next level confidence to our teams that the data they're accessing is accurate, complete, reliable, relevant, and timely.

Integration with our data platform was straightforward and ensuring all our data sources and reporting applications are all connected quick and effective. Any issues we had were resolved quickly with the customer success team and it's great to have regular check ins with them to learn of the new features on the product roadmap. Review collected by and hosted on G2.com.

The most difficult part is taking advantage of all the features. There is a lot it can do with Atlan and it will take time to implement. It's not a bad thing, it's just that you need to be aware of the extra time and resource required to make it as effective as it can be for your organisation. Review collected by and hosted on G2.com.

Atlan is helpful for searchign data objects and understanding the context/lineage surrounding them. In addition to providing descriptions of data objects and their lineage, it also provides recent usage statistics, which can be helpful for identifying the significance of a data object, and source for the data (e.g. Snowflake etc). The search itself is easy to use and has good accuracy. Review collected by and hosted on G2.com.

Search can be overwhelming if you don't know what you're looking for or are searching general terms. Additionally, the lineage is helpful but doesn't provide much context on how exactly parent objects are leveraged in the context of the object you're using. Review collected by and hosted on G2.com.

Atlan meets all the requirements that one would expect from the catalog: great search experience, variety of connection possibilities, easy of use, and clear UI. It is also highly customizable to our needs where we can add our custom metadata and needed for the business information on the data assets. Automatic lineage inside Snowflake and Tableau saved us hours of work. Customer support and the community around the catalog help us to integrate the catalog very easily. Thanks to multiple walk-throughs, it was extremely easy to sez-up the tool and hook it up to our architecture. It is a every-day tool for our data people at the moment. Review collected by and hosted on G2.com.

We have experienced some problems with connections to Tableau and Matillion that were unexpected (we have not seen them during the POC) and took longer than expected to fix, hindering the implementation process. There is no UI for lineage building inside the tool, which would be highly beneficial Review collected by and hosted on G2.com.

Data lineage is amazing. Being able to find any data asset across a variety of warehouse or BI platform, then explore both upstream and downstream has been very helpful. I can tell how specific metrics or data infrastructure are made, which helps me quickly troubleshoot issues. The search functionality is extremely powerful and performant. AI recommended documentation is also helpful. Review collected by and hosted on G2.com.

Limiting searches can be difficult. In my organization we have a lot of legacy data assets with no documentation. Search and data lineage often find dozens of likely results for my search and it's difficult to narrow those searches down. Review collected by and hosted on G2.com.

Atlan search is extremely useful, allowing you to easily find all data assets within your organization. The lineage tool is also very powerful, and can assist in a multitude of different areas from understanding dependencies, making informed decisions on developments, and checking overall use of an asset. Review collected by and hosted on G2.com.

It would be great to have more capabilities involved with the lineage views. We have wanted to be able to filter based on the asset source (only lineage for the dbt assets, or Snowflake and Sigma etc.), so that is a downfall of this feature. It would also be good to include more automations and templates for things like Glossary terms. Review collected by and hosted on G2.com.

Atlan’s user-friendly interface encourages engagement across the board, regardless of technical expertise. The data lineage feature provides a clear, visual layout of our data stack, which has been particularly helpful in onboarding new hires by giving them immediate insight into our data architecture. The glossary feature is crucial for establishing a common understanding of terms and metrics throughout the company, with the ability to assign ownership to these definitions. Linking glossary terms to related assets further reinforces this shared understanding and accountability. Review collected by and hosted on G2.com.

The integration with Teams could be more refined. Specifically, it would be beneficial if requests for approval could be directed to the appropriate data owner or individual, rather than just an administrator. Review collected by and hosted on G2.com.