Duet AI for Developers and Duet AI for Security Operations are now generally available.  Learn more.
Jump to


Break free from data silos with Dataplex’s intelligent data fabric that enables organizations to centrally discover, manage, monitor, and govern data across data lakes, data warehouses, and data marts with consistent controls, providing access to trusted data and powering analytics and AI at scale.

  • Single pane of glass for data management across data silos

  • Centralized security and governance enabling distributed ownership of data with global control

  • Unified search and data discovery, based on business context, across distributed data

  • Built-in data intelligence to enable trust in data and accelerate time to insights

  • An open platform with support for open source tools and a robust partner ecosystem


Freedom of choice

Get the freedom to store data where you want for the best price and performance while choosing the best analytics tools, open source or cloud native, to accelerate the entire analytics lifecycle.

Intelligent automation

Automate data discovery, metadata harvesting, data lifecycle management, data profiling, data quality and lineage using Google’s best-in-class AI/ML capabilities to reduce management costs.

Unified governance

Enable standardization and unification of metadata, security policies, governance, and data classification for consistency across distributed data.

Key features

Key features

Simplified data discovery

Automate data discovery, classification, and metadata enrichment of structured, semi-structured, and unstructured data, stored in Google Cloud and beyond, with built-in data intelligence. Manage technical, operational, and business metadata, for all your data, in a unified, flexible, and powerful Data Catalog. Easily search, find, and understand your data with built-in faceted-search interface using the same search technology as Gmail. 

Data organization and life cycle management

Logically organize your data that spans multiple storage services into business-specific domains using Dataplex lakes and data zones. Manage, curate, tier, and archive your data easily with one click.

Centralized security and governance

Enable central policy management, monitoring, and auditing for data authorization and classification, across data silos. Facilitate distributed data ownership based on business domains with global monitoring and governance. 

Built-in data quality and lineage

Automate data quality across distributed data and enable access to data you can trust. Use automatically captured data lineage to better understand your data, trace dependencies, and effectively troubleshoot data issues. 

End to end data lineage

Easily understand where your data comes from and the transformations it goes through with end-to-end data lineage. Automatically processed for Google Cloud data sources and extendible to 3rd party data sources.


"We have PBs of data stored in Google Cloud, accessed by 1,000s of internal users daily. Dataplex enables us to deliver a business domain-specific, self-service data platform across distributed data, with decentralized data ownership but centralized governance and visibility. We are very excited to adopt Dataplex as a central component for building a unified data mesh across our analytics data."

Saral Jain, Director of Engineering, Snap Inc



Google Cloud Basics
How Dataplex works

As you identify new data sources, Dataplex harvests the metadata for both structured and unstructured data, using built-in data quality checks to enhance integrity.

Google Cloud Basics
Overview of Data Catalog

Find out how Data Catalog powers the efficient use of your data.

How to get started with Dataplex

Logically organize your data stored into lakes and zones, and automate data management and governance across that data to power analytics at scale.

How to search with Data Catalog

Use Data Catalog to perform a search of data assets, such as datasets, tables, views, and Pub/Sub topics in your Google Cloud projects.

Best Practice
Dataplex best practices

Follow these best practices to optimize your Dataplex experience.

APIs & Libraries
Dataplex API

Use Dataplex APIs to centrally manage and govern distributed data.

APIs & Libraries
Data Catalog API

Use Data Catalog APIs to centrally manage and enrich metadata for your distributed data.

Google Cloud Basics
Data lineage overview

Understand and trust data with Dataplex data lineage.

Google Cloud Basics
Data quality overview

Deliver trusted insights with automatic data quality.

Use cases

Use cases

Use case
Build a data mesh architecture

Build a business domain-specific data mesh architecture across data in Cloud Storage and BigQuery using Dataplex. Enable decentralized ownership of data while still centrally managing, monitoring, and governing data across your enterprise and making this data securely accessible to a variety of analytics and data science tools. 

Use case
Democratize data insights with Data Catalog

Easily search and discover your data assets across data silos using a fully-managed, serverless Data Catalog within Dataplex. Data Catalog provides built-in capabilities to automatically ingest technical metadata, enrich metadata with relevant business context, and empower every user in your organization to easily find and understand their data using a powerful faceted search interface. 



Dataplex pricing is based on pay-as-you-go usage, including:

- Dataplex processing, which covers the data discovery feature in Dataplex

- Data catalog metadata storage

- Data catalog read, write, and search API calls


Partnering with industry leaders

We are working with industry leading data analytics providers so Dataplex can quickly integrate with your existing data analytics investments.