Overview
Atlan is a modern data workspace built to address the everyday chaos and collaboration overhead faced by data-driven teams. Atlan acts as a virtual hub for data assets ranging from tables and dashboards to models & code. Key features include: data catalog & discovery, data lineage & governance, data quality & profiling, and data exploration. Atlan enables teams to create a single source of truth for all their data assets, and collaborate across the modern data stack through deep integrations with popular tools like Snowflake, Redshift, Databricks, Looker, Power BI and more.Their long list of customers include the likes of Wework, Ralph Lauren, Plaid, Postman, Delhivery among others. Visit https://atlan.com/partners/aws/ for more information. Deployment: Launch directly from the AWS Marketplace as a pre-configured CloudFormation template.
Atlan is backed by top investors like Insight, Sequoia & Waterbridge and amazing angels such as the founding teams of Snowflake, Looker, Stitch.
It was recognized as a Gartner Cool Vendor in the inaugural report on DataOps, as one of top 3 companies globally.
For custom pricing, EULA, or a private contract, please contact marketplace@atlan.com
Highlights
- Make all your data assets from tables, views, BI dashboards, SQL snippets, pipelines, business metrics instantly discoverable. Atlans powerful search algorithms combined with easy browsing experience, make finding the right asset, a breeze.
- Atlan auto-generates data quality profiles which make detecting bad data, dead easy. From automatic variable type detection & frequency distribution to missing values and outlier detection, we've got you covered.
- Atlan takes the pain away from governing and managing your data ecosystem! Atlan bots parse through SQL query history to auto construct data lineage and auto-detect PII data, allowing you to create dynamic access policies & best in class governance.
Details
Pricing
Vendor refund policy
We do not support refunds, but you can cancel at any time.
Legal
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Delivery details
Atlan
- Amazon EKS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
First Release
Additional details
Usage instructions
Usage instructions Steps 1).If you do not have a license key, navigate to https://atlan.com/forms/deploy-on-aws/ Step 2) If you have already purchased a license key, navigate to https://docs.atlan.com/community/atlan-on-aws-marketplace
Resources
Vendor resources
Support
Vendor support
Atlan prioritizes support via email for our existing and future customers. Please expect a response within 24 hours.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Atlan: Best-in-class data catalog with customer-centric product development & services
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.
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.
Atlan enables us to effectively share knowledge both within our data team and with external stakeholders by serving as a source of truth for our most important term & metric definitions. Terms & metrics can be easily & extensively documented in the Glossary including descriptions, in-depth ReadMes, custom metadata and external documentation (e.g. Confluence). It's also very helpful to be able to link these terms to suitable dashboards and tables to indicate where the source of truth for the respective term or metric comes from.
We're also using Atlan for the documentation of our Snowflake tables. While some documentation has already been included in our DBT models directly, this documentation is not easily accessible for stakeholders or downstream consumers of the data (e.g. analysts). Using Atlan, we can democratise this documentation automatically by pulling the respective descriptions from DBT directly and populating them in Atlan. Using Atlans powerful API, we're also working on loading ReadMes from our directory directly, such that documentation for data engineers becomes easy to populate and consumable by stakeholders at the same time.
Atlan is proving to be highly effective to analyse up- & downstream dependencies of tables, data products and dashboards, significantly reducing communication efforts. For instance, exporting downstream dependencies for impact analysis and analysing upstream dependencies for root cause analysis in Atlan have become an integral part of our data incident management process. Being able to quickly identify impacted assets and their owners not only enables fast assessment of the incident impact. It also allows for immediate stakeholder identification, saving valuable time in the incident resolution.
Lastly, we're also currently starting to use the Data Products & Data Domain features in more depth. Atlan allows to extensively document data products (e.g. description, ReadMe, criticality, sensitivity) and relate relevant tables and dashbaords via automated rules. By being able to add both data products and individual tables & dashboards to data domains, the tool is becoming our source of truth for data roles & responsibilities and valuable input for domain-specific reporting on data governance maturity.
Enabling our teams through better data access and visibility
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.