Best Data Fabric Software of 2026 - Reviews & Comparison

Compare the Top Data Fabric Software as of January 2026

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What is Data Fabric Software?

Data fabric software is a unified data management platform that provides seamless integration, access, and governance across an organization’s entire data ecosystem, regardless of where the data is stored—on-premises, in the cloud, or in hybrid environments. Data fabric software aims to simplify and optimize data integration, management, and analytics by using advanced automation, artificial intelligence (AI), and machine learning (ML) technologies. It helps businesses ensure data consistency, accessibility, and security across multiple data sources, enabling faster and more informed decision-making. By creating a connected data environment, data fabric software improves data quality, accelerates time-to-insight, and enhances overall operational efficiency. Compare and read user reviews of the best Data Fabric software currently available using the table below. This list is updated regularly.

1

MANTA

Manta

Manta is the world-class automated approach to visualize, optimize, and modernize how data moves through your organization through code-level lineage. By automatically scanning your data environment with the power of 50+ out-of-the-box scanners, Manta builds a powerful map of all data pipelines to drive efficiency and productivity. Visit manta.io to learn more. With Manta platform, you can make your data a truly enterprise-wide asset, bridge the understanding gap, enable self-service, and easily: • Increase productivity • Accelerate development • Shorten time-to-market • Reduce costs and manual effort • Run instant and accurate root cause and impact analyses • Scope and perform effective cloud migrations • Improve data governance and regulatory compliance (GDPR, CCPA, HIPAA, and more) • Increase data quality • Enhance data privacy and data security

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2

Atlan

Atlan

The modern data workspace. Make all your data assets from data tables to BI reports, instantly discoverable. Our powerful search algorithms combined with easy browsing experience, make finding the right asset, a breeze. Atlan auto-generates data quality profiles which make detecting bad data, dead easy. From automatic variable type detection & frequency distribution to missing values and outlier detection, we’ve got you covered. Atlan takes the pain away from governing and managing your data ecosystem! Atlan’s bots parse through SQL query history to auto construct data lineage and auto-detect PII data, allowing you to create dynamic access policies & best in class governance. Even non-technical users can directly query across multiple data lakes, warehouses & DBs using our excel-like query builder. Native integrations with tools like Tableau and Jupyter makes data collaboration come alive.

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3

Databricks Data Intelligence Platform

Databricks

The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker.

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4

Aggua

Aggua

Aggua is a data fabric augmented AI platform that enables data and business teams Access to their data, creating Trust and giving practical Data Insights, for a more holistic, data-centric decision-making. Instead of wondering what is going on underneath the hood of your organization's data stack, become immediately informed with a few clicks. Get access to data cost insights, data lineage and documentation without needing to take time out of your data engineer's workday. Instead of spending a lot of time tracing what a data type change will break in your data pipelines, tables and infrastructure, with automated lineage, your data architects and engineers can spend less time manually going through logs and DAGs and more time actually making the changes to infrastructure.

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