Discover our top 10 Castor alternatives and substitutes! Compare features, pricing, and pros and cons to find the right data catalog for your business.
Managing the modern data stack can be a daunting task. That's where data catalogs come in - and there are many to choose from! Castor is one of the most popular data catalog solutions on the market. In today’s article, we'll take a look at Castor as well as the top 10 Castor alternatives. Whether you're a small business owner or a large enterprise, a data catalog can help you organize your data and gain insights that can drive growth and success.
When looking at Castor substitutes, we considered factors like pricing, target audience, user reviews, features, and functionality in our analysis. We have kept our process as unbiased as possible and have focused solely on the facts available.
So let's dive in and discover the best data catalog options for your organization!
First, here’s a quick overview of Castor.
Castor was established in 2020 and is headquartered in Paris and Brooklyn. It was designed by former data scientists, engineers, and heads of data with the goal of helping companies improve their data experience. Castor offers a plug-and-play solution that simplifies data discovery, health, and community all in one place.
One of the most unique and sought-after features of Castor is that it was designed to be used by business teams in addition to data analysts. Its user interface is intuitive and easy for anyone to understand, allowing companies to better analyze their data more effectively and efficiently.
Castor can be integrated with a company’s data stack within 30 minutes. It provides deep integrations across data warehouses, data transformation, and data visualization tools. Per user reviews, some of the best features include column-level, cross-system data lineage, an automated documentation experience, automated infrastructure monitoring, and a surprisingly fast and intuitive search experience.
G2.com rates Castor as 9.9/10 for Ease of Use, 9.8/10 for Quality of Support, 9.6/10 for Ease of Setup, and 4.8/5 overall. It is worth noting that these scores are all significantly higher than the industry average.
Castor pricing is listed transparently, and includes three pricing plans - Starter (starting at $10,000), Premium (custom pricing), and Enterprise (custom pricing). They also offer a 14-day free trial.
For more information on Castor, visit their website.
Next, we’re going to walk you through 10 Castor substitutes.
Alation was released in 2015 and is headquartered in Redwood City, California. Its goal is 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 mostly to data teams.
Alation offers integrations with a variety of data visualization, governance, and virtualization tools. Pricing is not listed online, but you can visit their website to learn more.
While Alation offers a solid data catalog platform, companies may prefer Castor due to Alation’s high cost, long implementation times, and overall challenges with adoption. They may also prefer Castor as a 3rd generation data catalog, providing business value from Day 1. You can view more information on Castor vs Alation here.
Select Star entered the market in 2020 as a one-stop shop for companies to efficiently capture, locate, and manage their data. As a comprehensive data catalog, it strives to be the ultimate source of truth for businesses. Select Star is a good fit for data stewards, enabling them to streamline their workflow and enhance their productivity.
Select Star offers integrations with Cloud Data Warehouses, BI/Data Visualization Tools, and ETL Tools.
While Select Star has some great features, companies may prefer Castor due to its sleek and streamlined UX, which allows business users to make data-driven decisions. G2 users rated Castor higher than Select Star in all categories, including Ease of Use (9.9 vs 8.9), Ease of Setup (9.6 vs 8.6), and Quality of Support (9.8 vs 9.6). More information is available here about Castor vs Select Star.
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 learn more about Select Star here.
Atlan was built by data people for data people. Released in 2018, it addresses the major pain points that data teams face on a daily basis. While it does offer some tools for business users, its main focus is on data teams.
It features integrations with several warehouse, transformation, and business intelligence tools.
On G2.com, Atlan is rated with an overall score of 4.5/5. It has higher-than-average scores in all categories, including Ease of Use, Ease of Setup, and Quality of Support. They offer 24/7 support, with several routes of escalation. Atlan pricing is not available online, but you can learn more here.
While Atlan is a solid choice for companies seeking a solution for their data teams, Castor is the preferred choice if you are looking for business audiences to access and take advantage of the catalog. You can learn more about Castor vs Atlan here.
Secoda was created in 2021 and is headquartered in Toronto, Ontario, Canada. It strives to provide organizations with a better way to organize and access their data, all from one place. It’s powered by AI algorithms, which automatically index and categorize data assets.
Secoda is designed for both data people and non-technical users. It allows for collaboration amongst teams and promotes data democratization.
Secoda offers three plans - a free plan, a Business plan ($800/month), and an Enterprise plan (custom pricing).
Companies may prefer Castor to Secoda if they want auto-documentation, which Secoda does not offer. Per user reviews, Castor offers better Looker integration, more stability, and a smoother onboarding process. You can read more about Castor vs Secoda here.
You can learn more about Secoda at their website, and view a full list of their integrations here.
Metaphor as a company was established in 2020, and its Metadata Platform was released in 2022. It is headquartered in Menlo Park, California, and was built by the team that created DataHub at LinkedIn. Much like the other data catalogs, it offers a centralized location to house all company data. Unique to Metaphor is its goal of being the “Social Platform for Data”, with its use of social hashtags and wikis.
Metaphor’s target audience is data teams, though it has features for non-technical people, such as product managers and business analysts.
It is worth noting that Metaphor’s features and structure are dependent on Datahub - Castor’s are not. It’s also still in the Seed Stage, with less funding than Castor. For these reasons, as well as Castor’s exceptionally high ratings on G2.com, companies may prefer Castor over Metaphor. You can read more about Castor vs Metaphor here.
Metaphor’s pricing is not listed online. They offer a full suite of warehouse and business intelligence integrations, and you can learn more on their website.
Informatica is a software company based out of Redwood City, California, dating back to 1993. They offer an AI-powered enterprise data catalog with detailed lineage and metadata management across millions of datasets.
With its machine-learning discovery engine, you can efficiently scan and categorize data stored on-premise and in the cloud. This platform serves the needs of both business and IT users by providing semantic searches and collaboration features. Additionally, it seamlessly integrates with Informatica Intelligent Cloud Service (IICS), facilitating the smooth and speedy migration of data to Azure.
Overall, Informatica is rated at 4.3/5 on G2.com. According to users, Informatica's data catalog is ideal for businesses that are already using Informatica's ecosystem. However, for the majority of companies who are not invested in Informatica products, the costs are high and the implementation time can be lengthy. In addition, it’s not built for viral adoption. For these reasons, Castor is the better choice for companies looking for a modern solution that they can get value out of immediately.
Pricing for Informatica’s Enterprise Data Catalog is not available but you can learn more on their website.
Stemma was released in 2020 as a managed version of Lyft’s Amundsen data catalog project. Stemma provides users with the necessary tools to ensure data reliability in a self-service environment. Like Castor, Stemma appeals to business users looking for data-informed insights, as well as data teams.
Stemma integrates with a variety of Data Warehouses, Security, HR, and Business Intelligence tools.
Stemma’s a good choice for companies already familiar with Amundsen that want to migrate to a managed version. However, Castor has a better UX and is not dependent on Amundsen’s feature set in order to innovate and evolve.
Pricing for Stemma is not available online, but you can learn more at their website.
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.
Collibra appeals to data teams as well as business analysts, though it focuses mostly on data governance users. Castor, on the other hand, offers data governance tools along with a full suite of data functionality suitable for the entire organization.
A complete list of Collibra’s integrations can be found on their website. Collibra also offers the assistance of a Professional Services team for custom integrations. Their pricing is not available online, though user reviews reference high costs as well as long implementation times.
While Collibra is generally well-reviewed on G2.com, it’s worth noting that they come in slightly lower than the industry standard in most categories, including Ease of Use and Quality of Support. Collibra is a complex legacy product, making Castor the superior choice for companies seeking a modern data catalog with innovative features and quick implementation.
You can learn more about Collibra here.
Twilio acquired Segment in late 2020, which offers a Customer Data Platform to help companies gain a comprehensive understanding of their customers. By dismantling data silos and creating a unified customer profile that all teams can access, Segment empowers businesses to obtain a complete view of their customer base. When coupled with Twilio's personalized communication capabilities, companies can not only gather and analyze data but also communicate with customers from a single source.
Segment offers three pricing plans - a free plan, a Team plan ($120/month), and a Business Plan (custom pricing).
Segment may be the right choice for companies that are interested or already invested in Twilio’s comprehensive customer data solutions. However, for companies seeking a purpose-built data catalog, Castor is the better choice.
You can read more about Segment on their website.
Lyft has created an open-source data catalog platform called Amundsen to assist businesses in locating, comprehending, and cooperating on their data resources. Data professionals such as Data Engineers, Data Analysts, and Data Scientists can leverage Amundsen, which interfaces with a variety of data warehouses and tools. A comprehensive list of its integrations is available for reference.
Amundsen may be appropriate for companies seeking an open-source data catalog that have the engineering resources to build and maintain it in-house. Companies without these vast resources may prefer Castor’s SaaS platform, which is built and managed for them.
You can read more about Amundsen here.
This article has reviewed Castor and its top 10 alternatives. While there are plenty of great options on the market, Castor is a proven market leader. It’s easy to use, quick to implement, and purpose-built for full-company adoption.
Get a 14-day free trial today and enhance your data experience with Castor.
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