Alation
vs Atlan
vs Atlan
While evaluating Alation vs Atlan: why 83% of data teams chose Atlan
1. Easy to set up, deploys in weeks, not months
2. Collaboration-focused UI/UX that encourages adoption amongst both technical and
business users
3. Column-level lineage that actually works. It’s automated, brings in key metadata context
and is intuitive to use
4. Metadata and context are embedded directly in tools, that users already love and use
5. Native and deep integrations with all best of breed tools across the data estate
6. Strategic customer support that partners in identifying and driving business critical initiatives
7. Upfront pricing that is based on value and non-prohibitive, an investment that you can feel confident leaning into
Alation vs Atlan:
a comparison of how they drive
business outcomes
In the table below, you can find a quick comparison of how Alation and Atlan
address common challenges faced by data leaders
Factor | ||
---|---|---|
Enabling self-service analytics across your org | Not the easiest to use, and no easy way to collaborate with data experts | Open, scalable, non-technical users typically start self-serving their data requests within a month of deployment |
Encouraging adoption across your org | Non-intuitive UI/UX and poor product experience, leading to poor adoption | Intuitive collaboration-focused UI/UX, any type of user can hit the ground running |
Ease of setting up | Require 4 months or more, need implementation support experts | DIY setup, typically in weeks |
Time to experience actual value | Long time to value, often taking a year or more, after a cumbersome multi-month deployment cycle The major roadblock to realizing value is the lack of adoption | First, metadata-driven value is in a matter of weeks not months. Easy adoption by diverse stakeholders makes value inevitable |
Keeping pace with how you grow as a business | May not handle change well Legacy platform, a closed solution, incapable of supporting federated/ automated/ distributed paradigms like Data Mesh, Data Fabric, and Data-as-a-Product | Is open to change in your stack and growth Open-by-design, cloud-first Kubernetes-based platform with natively built-in microservices. Purpose-built for Data Mesh and Fabric |
Bringing visibility into your entire data estate | Focused on the breadth of integrations vs depth of integrations. Better for on-prem integrations, but not good for cloud-native modern tools | Deep integrations with cloud-native modern tools. Cloud-first, Cloud-native platform as core DNA Present with major on-prem providers and emerging in others |
The overall cost of deployment and maintenance | Prohibitive pricing, plus support needed to deploy is added cost | Pay-as-you-go pricing, aligned to usage and value |
Alation vs Atlan:
which solution is the most future ready?
Alation and Atlan are two generationally different products. Alation is a traditional data catalog. Atlan is an active metadata platform.
Here are some key differences in how the platforms are being built:
Factor | ||
---|---|---|
Forward looking architecture | Static closed platform that operates in silos | Open, scalable, tech-debt-free platform, suited for data fabric and data mesh |
Active governance | Manual stewardship | Programmatic governance through metadata activation |
AI readiness | Limited AI/ML capability | The truly AI-ready data catalog |
Alation vs Atlan:
notes from users who’ve used both
How do users who’ve used both compare Alation and Atlan?
Alation vs Atlan:
the long and short of it
Alation is a traditional data catalog, while Atlan is a pioneering active metadata platform. Atlan is not just rated over Alation in terms of product functionality, but also in product vision, innovation roadmap, and market approach. The company focuses on constant innovation and partnering with customers to generate value.