Top 10 Atlan Alternatives and Substitutes

In today's data-driven world, the importance of having a robust and comprehensive data catalog cannot be overstated. Atlan is a popular data catalog tool, thanks to its user-friendly interface and brand awareness. However, if you're looking for Atlan alternatives, there are plenty of other options.

In this blog post, we'll explore the top 10 Atlan substitutes. Whether you're a small business looking for a cost-effective solution or a large enterprise in need of a scalable and customizable data catalog, we've got you covered. We'll take a deep dive into Atlan and its top 10 alternatives, evaluating factors like pricing, features, and integrations. We have kept our process as unbiased as possible and have focused on the facts available.

Before we dive into the alternatives, here’s a quick overview of Atlan.

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Atlan Overview

Atlan was built in 2018 to address problems that data teams face. While it does provide support for business roles, data team members are its sweet spot. 

It offers a variety of warehouse integrations including Snowflake, BigQuery, Redshift, and more. It also integrates with transformation tools like dbt and business intelligence tools like Looker, Metabase, Mode, Sigma, and Tableau. 

Atlan pricing is not transparently listed on their website, but you can contact them for more information and a customized proposal.

It is rated well on G2.com, coming in overall at 4.5/5. It scores above the industry average in all categories, including Meets Requirements, Quality of Support, Ease of Setup, and Ease of Use.  Atlan offers 24/7 support, with several tiers of escalation, which users review positively.

So, why might you be considering alternatives to Atlan? Perhaps you are looking for a solution that allows for company-wide adoption, such as Castor, or you simply want to learn more about the data catalog landscape. Whatever your reasons, you are in the right place!

1. Castor Overview

Castor was established in 2020 by former data scientists, engineers, and heads of data to help companies improve the data experience. It is a plug-and-play data catalog that unifies your data stack by simplifying data discovery, community, and health. 

Castor is a unique data catalog platform in that it was built for full company adoption, including use by business teams and analysts. It provides a sleek, easy-to-understand user interface that helps companies analyze the data they already have, without having to request reports from the data engineering team.

Key Features:

• Can be integrated with a company’s data stack within 30 minutes
• Column-level, cross-system data lineage in minutes
• Automated documentation experience
• Easy search tool allows users to search for data instantly
• Automated infrastructure monitoring system
• Deep integrations across data warehouses, data transformation, and data visualization tools

Companies may choose Castor over Atlan if they are looking for business stakeholders to use the catalog alongside the data team. 

They may also choose Castor due to an available Free Trial, and higher scores across the board than Atlan in the following G2 categories for Machine Learning Data Catalog: Meets Requirements (9.5 vs 8.3), Ease of Use (9.9 vs 8.8), Ease of Setup (9.6 vs 8.1), Ease of Admin (9.4 vs 8.9), Quality of Support (9.8 vs 9.5), Partnership (9.9 vs 9.8), and Product Direction (10.0 vs 9.1).  Read more about Castor vs Atlan here. 

From a pricing perspective, Castor offers three pricing plans - Starter (starting at $10,000), Premium (custom pricing), and Enterprise (custom pricing). Castor also offers a 14-day free trial.

For more information on Castor, book a demo.

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2. Secoda Overview

Secoda was created in 2021 to enable organizations to centralize and manage their data assets. The platform uses machine learning algorithms to automatically index and categorize data assets, allowing users to search for and find relevant data.

Secoda is built for both technical and non-technical users. The platform is built as a way for all teams within a company to collaborate and democratize data.

Key Features:

• Data catalog, lineage, and documentation features all in one workspace
• Automate lineage and assess the impact of changes
• Automatically index the entire data stack
• Assign individual user access permissions
• Simplify the data request flow

Secoda offers three plans - a free plan, a Business plan ($800/month), and an Enterprise plan (custom pricing). 

Companies may choose Secoda over Atlan if they are looking for non-technical users to access the catalog to find data. In addition, smaller companies may find that their needs are met with Secoda’s free plan. You can read more about Atlan vs Secoda here.

You can visit Secoda’s website to learn more about their products and integrations.

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3. Select Star Overview

Select Star was established in 2020 as a comprehensive data catalog that can serve as the single source of truth in capturing, finding, and organizing a company’s data. It emphasizes its column-level lineage, ease of use, and quality of support as some of its main selling points. Like Atlan, Select Star appeals most to data teams.  

Key Features:

• Column-level lineage
• Entity Relationship (ER) diagram
• Auto-populated documentation
• Find, tag, and add documentation to all of your data
• AICPA SOC 2 Security, Confidentiality, and Availability standards

Companies may choose Select Star over Atlan based on Ease of Use. G2 users rated Select Star slightly higher than Atlan in Ease of Use, though both products rated higher than the industry average. More information is available here about Select Star vs Atlan.

Select Star offers a free 14-day trial and four different tiers of plans - Light (free), Pro ($270/month), Growth ($810/month), and Enterprise (custom pricing).

You can visit Select Star's website to learn more about their products and integrations.

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4. Metaphor Overview

Metaphor was established in 2020 and released its Metadata Platform in 2022. It was built by the team that created DataHub at LinkedIn, and it’s already gaining ground as a powerful centralized solution to help you find and understand your data. It considers itself the “Social Platform for Data” due to its use of social hashtags and wikis.

Metaphor is primarily built for data teams. However, it also wants to appeal to business users who are not technical experts, such as business analysts and product managers.

Key Features:

• Business-friendly wiki helps everyone access documentation
• Social hashtags capture different use cases and capture tribal knowledge
• Built into Slack and Teams
• Tools for technical users to easily govern data
• Automated column-level lineage

Like Atlan, Metaphor does not list pricing on its website. Companies may choose Metaphor over Atlan if they are interested in social and collaboration tools or would like to appeal to business users in addition to data teams. Read more about Metaphor vs Atlan here.

You can visit Metaphor's website to learn more about their products and integrations.

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5. Stemma Overview

Stemma was launched in 2020 as a managed version of the Amundsen data catalog project created at Lyft. Stemma equips users with the tools to ensure the reliability of their data within a self-service environment. 

Stemma integrates with the modern data stack, including integrations with a variety of data warehouses. 

Key Features:

• Automated data stewardship
• Deep insights into data use
• Seamless integration into existing workflows
• Automated documentation
• Table and column-level lineage

Companies may choose Stemma over Atlan if they’re already familiar with Amundsen, and want to migrate to a managed version. Pricing for Stemma is not listed on their website.

You can visit Stemma's website to learn more about their products and integrations.

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6. Segment Overview

Segment is a Customer Data Platform that was acquired by Twilio at the end of 2020. It allows companies to get a holistic view of their customers by breaking down data silos and creating a single customer profile accessible by all teams at a company. Combined with Twilio’s personalized communications capabilities, companies can collect and view information, as well as communicate with their customers, from a single source.

Key Features:

• Complete data toolkit for every team in your company
• Collects data from web and mobile apps
• Consolidates all customer touchpoints
• Allows users to build a data pipeline

Segment offers three pricing plans - a free plan, a Team plan ($120/month), and a Business Plan (custom pricing). 

Companies may choose Segment over Atlan if they are interested in Twilio’s comprehensive suite of customer and data solutions.

You can visit Segment's website to learn more about their products and integrations.

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7. Alation Overview

Alation was first released in 2015 and is designed to help organizations make sense of their data by providing a comprehensive view of their data assets, improving data discoverability, and promoting collaboration among data users.

Alation appeals to analysts and business users, as well as data teams. 

Key Features:

• Automated data discovery using machine learning algorithms
• Data lineage and impact analysis
• Collaboration and knowledge sharing
• Data governance workflows, data dictionaries, data quality metrics

Alation's data catalog can be integrated with a wide range of data tools and platforms, including data visualization tools, data governance tools, and data quality tools. 

Companies may choose Alation over Atlan if they’re looking for a traditional catalog that has more on-premise integrations with their data stack. Pricing is not provided on its website.

You can visit Alation's website to learn more about their products and integrations.

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8. Collibra Overview

Collibra’s Data Catalog was founded in 2008 with the goal of being the Data Intelligence Company. Their data catalog allows companies to find and understand data across all sources and breaks down traditional silos.

They appeal to both data teams as well as business teams, citing that they allow users to find data 57% faster and spend 34% less time dealing with data errors.

Key Features:

• Connect business, privacy, and technical metadata with ease
• Column-level lineage
• Native business and technical lineage
• Embedded data governance and privacy
• Data Marketplace
• ML-powered classification and automated workflows

Collibra also offers a Professional Services team to assist companies with custom integrations. Pricing is not listed on their website, but you can contact them for a quote. Collibra has positive reviews on G2.com, though it’s worth noting that their Ease of Use, Quality of Support, and Ease of Setup scores come in slightly less than the industry standard for these categories. 

Companies may choose Collibra over Atlan if they’re looking for a more traditional data governance tool targeted at data stewards.

You can visit Collibra's website to learn more about their products and integrations.

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9. Informatica Overview

Informatica is an AI-powered enterprise data catalog offering metadata management and detailed lineage across tens of millions of data sets. Its machine-learning discovery engine allows you to quickly scan and catalog data both in the cloud and on-premise. They cater to both business and IT users with semantic searches and collaboration capabilities. It is integrated with Informatica Intelligent Cloud Service (IICS), helping to streamline and accelerate the migration of data to AZURE. 

Key Features:

• Integration with IICS
• Tableau extension
• Associate business terms to technical assets
• AI-driven collaboration
• End-to-end data lineage

You can see Informatica’s reviews on G2.com. Users feel that Informatica’s data catalog is great for companies who are already invested in Informatica’s ecosystem. Pricing is not listed on their website.

Companies may choose Informatica over Atlan if they’re already using IICS.

You can visit Informatica's website to learn more about their products and integrations.

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10. Acryl Overview

Acryl Data is a managed version of Datahub’s open-source data catalog. Their objective is to offer a highly dependable and trusted enterprise catalog that empowers data teams with exceptional search and discovery capabilities. This enables central data teams to enhance their efficiency, while enabling companies to optimize the value they extract from their data. Like Atlan, Acryl is built primarily for data team use.

Key Features:

• Unified search experience across all data silos
• Tracing of end-to-end lineage
• Impact Analysis features
• Generation of dataset stats
• Data validation outcomes

Reviews and ratings are not available on G2 for this product and pricing is not listed on their website. 

Companies may choose Acryl over Atlan if they’re already familiar with Datahub, and want to migrate to a managed version.

For more information on Acryl, visit www.acryldata.io.

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The Best Data Catalog For Your Business

This article has looked at Atlan and its top 10 alternatives. You can view more information on Atlan competitors and alternatives here. There are plenty of great options on the market - although for ease of use and mass business adoption, Castor is a proven market leader. 

Get a 14-day free trial today and enhance your data experience with Castor.