Top 10 Secoda Alternatives and Substitutes

Looking for a data catalog for your business? Secoda is a popular option to help you centralize your data, both for technical and non-technical users. Need more help deciding which data catalog is best for you? We’re here to help with a look at the top 10 Secoda alternatives.

In this blog, we’ll review the top 10 Secoda substitutes. We’ll have a closer look at Secoda and its alternatives to help you pick the data catalog that’s best for you, based on key factors such as top features, pricing, or integrations. Whether you’re looking for a cost-effective tool for your small business or a comprehensive solution to suit your enterprise needs, there is an option for everyone. 

We made sure the process is as unbiased as possible so rest assured, the analysis is focusing solely on the facts available.

Let’s start with an overview of Secoda.

‍

Secoda Overview

Secoda was established in 2021 to help organizations centralize and democratize their data. It’s a popular data catalog tool that allows both technical and non-technical users to search and find the data they need to improve collaboration within the business.

You can easily integrate it with your entire data stack, from data sources such as Snowflake, BigQuery, and MySQL to data visualization and BI tools such as Tableau, Looker, and Sigma. You can find all the Secoda integrations here. 

It stands out with its ability to automatically index and categorize data to enable data usage across the entire organization. 

In terms of the Secoda pricing, there is a free plan, a Business plan ($800/month), and an Enterprise plan (custom pricing).

It has an overall rating of 4.4/5 on G2.com in the Machine Learning Data Catalog category, and it stands out in the Quality of Support (10/10) and Ease of Use (8.3/10). It also got rated as a High Performer for Spring 2023.

In terms of its target audience, its wide range of plans and its focus on both technical and non-technical users makes it appealing to businesses of all sizes.

Key Features:

• Data catalog, documentation, lineage – all in one place
• Metadata documentation to automate your team’s documentation
• Automated data lineage to understand everyone’s use of data
• Simplify collaboration and make sharing easier across different teams
• Automatically index your data stack

So why would you look for Secoda alternatives? You might be looking for a comprehensive data catalog that is both extremely easy to use and has a wider number of integrations, such as CastorDoc, or you simply want to explore all the available options in the data catalog market. Either way, this guide will help!

‍

1. CastorDoc Overview

CastorDoc was created in 2020 by a team of data engineers, data scientists, and heads of data. It’s a plug-and-play data catalog that was designed for mass adoption to help everyone in the company access the data they need and improve the data experience.

For data teams, it’s a modern data catalog that serves as the single source of reference for a company’s metadata. For everyone else, it’s a simple user interface that everyone can use to find and analyze data.

Key Features:

• Column-level, cross-system data lineage that users love
• Automated documentation
• Highly rated search tool 
• Easy to integrate your company’s data stack within 30 minutes
• Automated knowledge capturing through social information
• Integrates with a wide number of data warehouses, data visualization, and data movement tools.

A company can choose CastorDoc over Secoda for the wider number of integrations, its wider mass market adoption, but also the higher user ratings across several key categories on G2 in the Machine Learning Data Catalog category: Overall Rating (4.8 vs 4.4) Ease of Use (9.9 vs 8.3), Meets Requirements (9.5 vs 8.6), and Product Direction (10 vs 7.7). Find out more about CastorDoc vs Secoda here.

In terms of pricing, CastorDoc offers a 14-day free trial along with three pricing plans - Starter (starting at $10,000 / year), Premium (custom pricing), and Enterprise (custom pricing).

If you want to try out CastorDoc, you can book a demo.

‍

2. Select Star Overview

Select Star was established in 2020 as a comprehensive data catalog that helps you find, tag, or add documentation to your data. It serves as the single source of truth within a company and it stands out with its column-level lineage, its search, and its quality of support. It’s a data catalog built for data teams so it may require more technical knowledge compared to Secoda.

Key Features: 

• Column-level lineage
• Auto-populated documentation
• Entity Relationship (ER) diagram
• Multilevel search
• Metadata management to power up your data stack
• Automated data governance
• AICPA SOC 2 Security, Confidentiality, and Availability standards

Companies may choose Select Star over Secoda if they are looking for a more technical solution that is still easy to use. G2 users rated Select Star overall with 4.4/5, an equal rating to Secoda, but they rated it higher in Ease of Use (9 vs 8.3) and Product Direction (8.9 vs 7.7). You can find more information about Select Star vs Secoda here.

Select Star has a free Light plan along with three paid ones: Pro ($270/month), Growth ($810/month), and Enterprise (custom pricing).

Visit Select Star’s website to learn more about its features and integrations.

‍

3. Atlan Overview

Atlan was founded in 2018 by a data team and it’s designed to be used by data teams. It’s a modern data catalog that speeds up documentation and improves collaboration.

Its deep integrations make it a useful tool for your data stack – from Snowflake and AWS Glue to Looker and dbt, there are numerous options to explore. 

Key Features:

• Column-level lineage
• Programmatic governance
• Natural language search
• Personalized data experience for each user
• Embedded collaboration 

Companies can choose Atlan over Secoda for its deeper integrations, its focus on the data teams, and its highly rated data lineage. G2 users gave Atlan an overall rating of 4.5/5 and they rated it higher than Secoda in Ease of Use (8.8 vs 8.3) and Product Direction (9.1 vs 7.7). You can find more information about Atlan vs Secoda here.

When it comes to the target audience, its reviewers come from mid-market and enterprise companies, compared to the small business appeal that Secoda has. 

Atlan’s pricing is not transparently listed on the website, but you can contact them to get a customized proposal. 

Visit Atlan’s website to learn more about the tool and its integrations. 

‍

4. Metaphor Overview

Metaphor was founded in 2020 by the team that created DataHub at LinkedIn. They only released the Metadata Platform in 2022 and it’s gaining ground as the ‘social platform for data’ with the use of social hashtags to improve collaboration within the company. 

Its ideal audience is Enterprise companies that want to find and understand their data, from Data Engineers and Data Stewards to Business Analysts and Product Managers.

Key Features:

• Social hashtags to help users discover projects and conversations
• Automated column-level lineage
• Built-in access to Slack and Teams
• Data-aware live wiki
• Governance tags for top-down or bottom-up data governance schemes

Companies can choose Metaphor over Secoda for its social and collaboration tools but also for the number of integrations it offers for a wide range of tools. Find out more about Metaphor vs Secoda here.

Visit the Metaphor website to learn more about the tool and its integrations. 

‍

5. AWS Glue

AWS Glue is a serverless data integration that helps you discover, move, and integrate data from various sources. You can use it to connect more than 70 data sources to build a centralized data catalog that helps you discover data efficiently.

It’s primarily targeting Enterprise companies with tools tailored both for technical users who want to make the most of their data.

With the AWS Glue Data Catalog, you can create, run, and monitor ETL pipelines to load data into your data lakes, while you can also search and query data using Amazon Athena, Amazon EMR, and Amazon Redshift Spectrum.

Key Features:

• Automatically discover data 
• Unify and search data across multiple sources 
• Manage schemas and permissions 
• No-code ETL jobs
• Cost-effective and scalable

Companies may choose AWS Glue over Secoda if they want an enterprise-level technical option with powerful AWS integrations. However it’s worth noting that technology oriented catalogs, like Glue, are typically much more limited in terms of their analyst user experience. AWS Glue has an overall rating of 4.2/5 on G2 and it’s rated higher than Secoda in the Product Direction.

When it comes to pricing, you can store up to a million objects for free. After the first million objects, you are charged $1.00 per 100,000 objects over a million, per month. 

Visit the AWS Glue website to learn more about the product and its pricing. 

‍

6. Informatica Overview

Informatica is an AI-powered data catalog that helps you find, understand, and prepare your data. 

It is integrated with Informatica Intelligent Cloud Service (IICS) to facilitate and accelerate the data migration to AZURE. It primarily targets Enterprise companies - both technical and business users - while it can be a great addition to those who already have access to Informatica’s ecosystem.

Key Features:

• AI-powered data discovery
• End-to-end data lineage
• Data Asset Analytics to understand assets, enrichment, and collaboration
• IICS Integration

Informatica has an overall rating of 4.3/5 on G2.com and it ranked higher than Secoda in the Product Direction (8.7 vs 7.7). Reviewers rate highly its Data Lineage, Profiling and Classification, and Metadata Management, while Secoda stands out in Meets Requirements, Quality of Support, and Ease of Use.

Informatica is geared towards enterprise companies while Secoda is more appealing to small and mid-size companies. 

Pricing is not mentioned on their website.

Visit Informatica’s website to learn more about the product and its integrations.

‍

7. Amundsen Overview 

Amundsen is a data discovery and metadata engine created by lyft in 2019 to solve their own problems with data discovery and governance. Later in the year, it got opensourced to help more data teams be more productive.

For analysts and data scientists, Amundsen helps them get an immediate context of how everyone in the company uses data. For data engineers, it shares context automatically to build trust in the use of data.

Key Features:

• Automated metadata
• Quick setup - runs on Docker, EC2, Kubernetes
• Easy to share context with coworkers
• Open source Apache license, version 2
• Easy to use and integrate

Companies can use Amundsen instead of Secoda if they are looking for an open-source data catalog that they can tailor to their own needs, especially in companies that already have an organized data stack in place. Companies with large engineering teams to focus on building and maintaining a tool may go this route instead of purchasing a SaaS solution.

Pricing information is not displayed on Amundsen’s website. 

‍

8. Collibra Overview

Collibra launched its Data Catalog in 2018 as a single solution to help all users find and understand their data. It’s an enterprise data catalog that serves as a one-stop shop for data. 

It appeals to both technical and business users to create a shared understanding of data that helps everyone be more productive. However, Collibra’s key audience is the data steward persona, as they have an emphasis on governance over all.

Key Features:

• Native business and technical lineage
• Embedded data governance and privacy
• ML-powered classification and automated workflows 
• Data Marketplace

Pricing is not displayed on their website but you can try their data catalog for free and request a custom quote.

Companies can choose Collibra over Secoda for its enterprise focus or a more traditional data governance tool, while several reviewers mentioned on G2 that it’s more useful for technical users. 

It has an overall rating of 4.3/5 on G2 and it ranks higher than Secoda in the Product Direction. Its highest-rated features are metadata management, business and data glossary, and profiling and classification. It’s worth mentioning that despite its high ratings, it still ranks slightly lower than the industry average in data quality, commenting, and data lineage.

Visit Collibra’s website to learn more about the product and its integrations. 

‍

9. Alation Overview

Alation was founded in 2012 and first released its data catalog in 2015 to help companies find, understand, and govern their data. It’s a popular enterprise data intelligence solution that appeals both to data teams and business users.

Key Features: 

• Natural language search
• Behavioral Analysis Engine that leverages machine learning to analyze how data is being used
• Seamless collaboration and knowledge sharing 
• Guided navigation to help data consumers find everything they need
• Data lineage and impact analysis

Companies may choose Alation over Secoda if they are looking for an enterprise solution with a wide number of integrations to improve their data stack.

G2 reviewers gave Alation an overall rating of 4.3/5 with its highest-rated categories being: Ease of Use, Ease of Admin, and Quality of Support. They also rated Alation higher than Secoda in the Product Direction but lower than the average in data lineage, data modeling, and data transformation. 

Pricing is not mentioned on their website.

Visit Alation’s website to learn more about the product and its integrations.

‍

10. Google Cloud Data Catalog Overview

Google Cloud Data Catalog was built to enable companies to discover, monitor, and govern their data. Google’s Data Catalog was merged with Dataplex in 2022 to provide a unified experience for users to search and discover their data with relevant business context. 

Key Features:

• Unified search and data discovery
• Centralized security and governance
• Built-in data quality and lineage
• Serverless data exploration 

It’s a great solution for those who want to integrate it with Google Cloud sources, but it also features integrations with on-premises sources.

Both Google Cloud Data Catalog and Secoda have an overall rating of 4.4/5 on G2. However, Google Cloud Data Catalog received higher ratings in the categories: Meets Requirement, Ease of Use, and Product Direction. Still, it seemed to have lower ratings than average in User Access Management, Data Lineage, and Dynamic Data Masking.

If companies want a tech-agnostic and purpose-built solution, they may choose Secoda, given Google Cloud Data Catalog is best used with the Google suite.

The pricing is based on pay-as-you-go usage and you can find more details on their website and the pricing page.

‍

The Best Data Catalog For Your Business

We looked at Secoda and its top 10 alternatives to help you find the best option for you. You can find more details on Secoda and its competitors and alternatives here.

Each data catalog stands out in different categories but CastorDoc is a proven market leader for ease of use and mass business adoption. With an overall rating of 4.8/5 on G2, it ranks way higher than average in all key categories. 

Try CastorDoc today. Get a 14-day free trial today to enhance your data experience.