Collibra Alternatives that Leverage AI for Data Catalogs

The right data catalog tools help you understand the composition, usage, and regulatory compliance of your data assets. For this reason, Collibra has been a leading choice for many as it provides enterprise data cataloging solutions.

However, a growing list of Collibra alternatives leverages AI to improve data catalogs and make data more accessible. These alternatives are promising solutions to streamline data governance, improve data quality, and facilitate better decision-making. 

After all, the end goal of every organization is to secure its reputation and financial well-being by safekeeping sensitive data.

So, let’s see some of the top Collibra alternatives and why you need them.

Collibra is an exclusive data catalog platform that enables organizations to manage their data assets.

Here are three core things businesses can do using Collibra:

• Gain a comprehensive view of their valuable data and easily find what they need.

• Captures essential metadata and ensures their data is always accurate and reliable.

• Manage, organize, and protect data effectively with powerful governance solutions.

Simply put, Collibra allows businesses to achieve higher data intelligence objectives and make informed decisions. It creates a common understanding around data to catalog it accurately and adhere to compliance and privacy standards.

These capabilities help organizations mitigate risks associated with data mismanagement and non-compliance.

Data quality and privacy are primary concerns of organizations with closely bound internal systems. Though Collibra is great for handling their data security, it also has several drawbacks. Some of these are as follows:

• For many business users, Collibra's user interface (UI) is complex to navigate

• It’s not easy to configure without support from the team or external consultants

• Finding and accessing data quickly on Collibra is challenging

• Collibra does not have queryable data features

• It doesn’t provide trust badges that indicate the data quality, reliability, and trustworthiness

• Collibra doesn’t leverage AI to streamline query search and analysis through data sources

The lack of all these features makes Collibra a lesser choice for business intelligence. Collibra is not the ideal solution for teams hoping to utilize a data catalog for the full breadth of business intelligence use cases.

Now that you know all the drawbacks, check out some top data governance Collibra alternatives.

Business users find data discovery challenging in Collibra due to its complex interface. To address this issue, data.world provides an easy-to-use interface and powerful search capabilities to discover data. That’s why businesses are moving to data.world as an alternative to traditional data catalogs.

This knowledge graph delivers more relevant, context-aware search results than a traditional data catalog, similar to a Google-like search experience. Users can review metadata, tables, and documents as related objects on this graph. As a result, it helps them make informed decisions based on real data.  

“If you don't choose a data catalog platform on a knowledge-graph architecture and bring in all data and knowledge governed in one platform, then you are setting yourself up for failure in an AI future.”

Compared to Collibra, which relies on traditional query searches and analysis, data.world is more AI-enabled, as it was architected on top of a knowledge graph to optimize AI-enabled querying. Compare data.world versus Collibra.

data.world has a modern, cloud-native architecture that reduces downtime during upgrades or complex migrations. This, combined with its user-friendly interface, makes data analysis quicker and more intuitive.

But the benefits don't stop there. data.world enables users and developers to see valuable insights through unrestricted access to information administration models, even for location and map analysis. 

So, are you ready to transform your organization's data management and governance? If yes, schedule a demo today.

Here are some of the pros and cons of data.world that differentiate it from Collibra: 

• AI-assisted search algorithms and auto-enrichment with a user-friendly interface

• Automated metadata management and workflow governance

• Cloud-native platform for scalability and continuous innovation

• Knowledge graph architecture with new AI capabilities and model accuracy

• Initial setup and integration with existing systems may be complex for new users

Here are some of the most popular and widely-used features on the data.world platform: 

• Onboarding for partners and tailored support for clients, from the start-up phase to expansion

• Organize data automatically, including the use of AI-powered search features with bots similar to GPT

• Enhancement of data without manual input

• Straightforward and transparent process for new user introduction

• Designed to grow with your needs: increasing data amounts don't complicate your use of data.world

• Capable of managing intricate data systems and applications with built-in automations, tracking of data origins, and notifications within the app

• Utilizing a Knowledge Graph for its foundation, data.world offers query accuracy that is triple that of conventional data catalogs

• Facilitates the integration of varied data forms and the discovery of links among them

• Delivers answers enriched with context, going beyond simple search results

• Employs artificial intelligence for superior data cataloguing and management, outperforming Collibra alternatives

• Eureka bots streamline data management tasks, freeing up data experts to concentrate on other key projects

• Supports workflows that require multiple approvals and are highly customizable, reducing the need for significant coding skills

• Archie bots enhance search capabilities by delivering results that are deeply contextual, making the exploration of data significantly faster

Atlan is the active metadata platform for the modern data stack. Designed with the needs of data teams in mind, Atlan integrates metadata from diverse platforms (such as Snowflake, dbt, Databricks, Looker, Tableau, Postgres, and others) to offer a comprehensive experience in data discovery, cataloging, lineage, and governance across a team's data resources. These resources encompass elements like columns, queries, metrics, dashboards, among others. Atlan enables the bidirectional flow of metadata to enhance the tools and processes used by data teams daily. For instance, it allows a team to inject meaningful context into a BI tool to clarify the significance of a specific metric displayed on a dashboard.

To help you get a better idea of its perks and cons, we analyzed over 91 reviews on G2, and here's what Atlan users say: 

• Natural UI and design simplify navigation for users with limited tech knowledge

• Built-in first-party integrations and partnerships with primary data sources and tools

• Friendly customer service during implementation and ongoing use

• Inconsistent documentation updates

• Difficult to learn its advanced features

• Lacks customization and flexibility around custom fields to meet specific data analysis needs

• 360 degree context: Confirm assets, incorporate alerts, and link materials to a GitHub-like repository

• Column-level lineage: Map out the connections at the column level from the origin to business intelligence platforms

• Business glossary: Create a semantic network by associating your data with specific business terminology using a glossary

• Auto PII detection: Execute automated procedures to recognize sensitive data related to PII, HIPAA, and GDPR

Alation is another Collibra alternative in the industry. It’s well-known because of its diverse tool stack and ease of use. Additionally, it comes with a self-service tool that data engineers and non-tech staff can easily use because of its user-friendly interface.

But to help you get a better idea of its perks and cons, we analyzed over 65 reviews on G2, and here's what Alation users say: 

• Indexes data assets across the workspace, making searching and discovering relevant data easy for users

• Detailed visualization of data lineage allows users to trace the origin and transformation of data

• A built-in SQL editor enables direct interaction with data

• Limited lineage functionality

• Pricing per data steward is high

• Access to column-level data lineage requires additional payment

• Implement data governance adhering to predefined policies, security norms, compliance, and data quality standards

• Utilize AI and machine learning for generating sophisticated insights and suggestions aimed at predictive analytics

• Facilitate the transition of data to cloud platforms, aiding companies on their path to digital transformation

• Features a unified storage location that enables users to easily find, label, and comprehend data assets along with their metadata

Microsoft Purview serves as Microsoft's platform for data governance. This platform assists users in protecting and controlling data compliance and seamlessly integrates with Microsoft Copilot. Purview's objective is to enhance transparency across all data assets within an organization. It achieves this aim by offering capabilities such as context-sensitive detection, enabling users to pinpoint significant risks through analysis powered by machine learning.

But to help you get a better idea of its perks and cons, we analyzed over 18 reviews on G2, and here's what Purview users say: 

• Covers all data governance, discovery, classification, and monitoring aspects

• Handles the data governance needs of both small and large organizations

• A built-in professional interface and user experience

• Need to install additional plugins for existing programs to handle protected files

• Strict security measures for everyday files are too much to handle

• Data map: Handle and streamline metadata from various hybrid origins automatically

• Data catalog: Understand data origins with lineage vizualization

• Data security: Implement policies for data protection and monitor their application to guarantee adherence to regulations like GDPR and HIPAA

• Advanced reporting: Analyze patterns of data utilization, identify irregularities, and decide on the best data governance tactics for your unique datasets

Are you worried about your data’s stewardship and want to choose the right alternative to Collibra? Book a free demo with data.world and see how our AI-powered and user-friendly platform can take your data management to the next level.

At data.world, we sort all big data and data privacy concerns to provide you with actionable insights. You also get a detailed view of metrics and integration with various apps through our platform.

Want to learn more? Download our report and understand the role of data and analytics governance as a business capability.