Dataplex

Intelligent data governance

Centrally discover, manage, monitor, and govern data and AI artifacts across your data platform, providing access to trusted data and powering analytics and AI at scale.

Features

Data to AI governance with Vertex AI and Dataplex

Instantly discover AI models, datasets, features, and related data artifacts you need in a single search experience, spanning projects and regions while adhering to IAM permissions. Use Dataplex to enrich AI artifacts with critical business metadata for informed decision-making, such as ownership, key attributes, and relevant context.



Data governance in BigQuery

To support the end-to-end data lifecycle and make it easier for customers to manage, discover, and govern data, we’re bringing Dataplex capabilities directly into BigQuery, including data quality, data lineage, and profiling. Now you can apply data governance directly to your data without leaving BigQuery.

Gen AI powered insights and semantic search

Jumpstart your analytics with a curated list of questions that you can ask of your data. Harnessing the power of metadata and cutting-edge Gemini models, Data Insights generates tailored queries to uncover hidden patterns and valuable insights from your data. Semantic Metadata search for data helps you discover data using the language of your choice. Users have the ability to search for data assets using natural language queries, eliminating the requirement to recall search syntax and qualifiers. 

Simplified data discovery with Data Catalog

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. Enrich metadata with relevant business context using a built-in business glossary. Easily search, find, and understand your data with a built-in global, faceted search.

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 third-party data sources.

Automated data quality

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

How It Works

Dataplex enables you manage, monitor, and govern data and AI artifacts across data lakes, warehouses and databases. It helps users intelligently establish data profiles, assess data quality, determine data lineage, classify data, organize data into domains, and manage and govern the data life cycle.

govern data with Dataplex
Watch: Manage and govern distributed data with Dataplex

Common Uses

Data to AI governance

Data to AI governance with Dataplex and Vertex AI

In a single search experience, you can discover data and AI assets org-wide and instantly discover AI models, datasets, and related data artifacts, spanning projects and regions while adhering to IAM permissions. You can also augment assets with business context and enrich AI artifacts with business metadata for informed decision-making, such as ownership, key attributes, and relevant context.

Use Data Catalog to search for Vertex AI model and dataset resources

Data to AI governance with Dataplex and Vertex AI

In a single search experience, you can discover data and AI assets org-wide and instantly discover AI models, datasets, and related data artifacts, spanning projects and regions while adhering to IAM permissions. You can also augment assets with business context and enrich AI artifacts with business metadata for informed decision-making, such as ownership, key attributes, and relevant context.

Use Data Catalog to search for Vertex AI model and dataset resources

Build a data mesh

Use Dataplex to build a data mesh

A data mesh is a strategy where data ownership is decentralized and handled by domain data owners, where distributed datasets across locations can improve data accessibility and operational efficiency. Dataplex helps logically organize your data and related artifacts into a Dataplex Lake, or a data domain, that enables you to unify distributed data and organize it based on the business context.

Read the guide on how to build a data mesh with Dataplex
data mesh architecture

Use Dataplex to build a data mesh

A data mesh is a strategy where data ownership is decentralized and handled by domain data owners, where distributed datasets across locations can improve data accessibility and operational efficiency. Dataplex helps logically organize your data and related artifacts into a Dataplex Lake, or a data domain, that enables you to unify distributed data and organize it based on the business context.

Read the guide on how to build a data mesh with Dataplex
data mesh architecture

Democratize data insights

Democratize data insights with Dataplex Data Catalog

Search and discover your data and AI artifacts across silos using a fully managed, serverless Data Catalog within Dataplex. Data Catalog has 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 and AI artifacts with a powerful, faceted search interface.

Read the guide on using Data Catalog for better data discovery, metadata management, and more

Democratize data insights with Dataplex Data Catalog

Search and discover your data and AI artifacts across silos using a fully managed, serverless Data Catalog within Dataplex. Data Catalog has 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 and AI artifacts with a powerful, faceted search interface.

Read the guide on using Data Catalog for better data discovery, metadata management, and more

Pricing

Dataplex pricingDataplex pricing is based on pay-as-you-go usage.
Service and usageDescriptionPrice (USD)

Dataplex processing

Dataplex standard and premium processing are metered by the Data Compute Unit (DCU). DCU-hour is an abstract billing unit for Dataplex and the actual metering depends on the individual features you use.

Free tier Dataplex processing

First 100 DCU-hour per month for Dataplex standard processing.

No charge

Standard Dataplex processing

Dataplex standard tier covers the data discovery functionality that automatically discovers table and fileset metadata from Cloud Storage.

Starting at

$0.060

per DCU-hour

Premium Dataplex processing

The Dataplex premium processing tier covers the data exploration workbench, data lineage, data quality, and data profiling capabilities of Dataplex.

Starting at

$0.089

per DCU-hour

Data Catalog pricing

Metadata storage pricing

Data Catalog measures the average amount of the stored metadata during a short time interval. For billing, these measurements are combined into a one-month average, which is multiplied by the monthly rate.


Dataplex free tier

First 1 MiB monthly average storage.

No charge

Metadata storage

Over 1 MiB monthly average storage.

Starting at

$2

per GiB per month

API charges

Data Catalog charges for API calls made to the Data Catalog API and Data Lineage API.

API calls

First 1 million in a month.

No charge

API calls

Over 1 million in a month.

Starting at

$10

per 100,000 API calls

Dataplex shuffle storage pricing

Shuffle storage pricing covers any disk storage specified in the environments configured for the data exploration workbench.

Starting at

$0.040

per GB-month

Other usage

Data organization features in Dataplex (lake, zone, or asset setup) and security policy application and propagation, are provided free of charge.

Some Dataplex functionalities trigger job execution via Dataproc, BigQuery, and Dataflow. Usages for those services are charged according to their respective pricing models, and charges will show up under those services as such.

Dataplex pricing

Dataplex pricing is based on pay-as-you-go usage.

Dataplex processing

Description

Dataplex standard and premium processing are metered by the Data Compute Unit (DCU). DCU-hour is an abstract billing unit for Dataplex and the actual metering depends on the individual features you use.

Price (USD)

Free tier Dataplex processing

First 100 DCU-hour per month for Dataplex standard processing.

Description

No charge

Standard Dataplex processing

Dataplex standard tier covers the data discovery functionality that automatically discovers table and fileset metadata from Cloud Storage.

Description

Starting at

$0.060

per DCU-hour

Premium Dataplex processing

The Dataplex premium processing tier covers the data exploration workbench, data lineage, data quality, and data profiling capabilities of Dataplex.

Description

Starting at

$0.089

per DCU-hour

Data Catalog pricing

Description

Metadata storage pricing

Data Catalog measures the average amount of the stored metadata during a short time interval. For billing, these measurements are combined into a one-month average, which is multiplied by the monthly rate.


Price (USD)

Dataplex free tier

First 1 MiB monthly average storage.

Description

No charge

Metadata storage

Over 1 MiB monthly average storage.

Description

Starting at

$2

per GiB per month

API charges

Data Catalog charges for API calls made to the Data Catalog API and Data Lineage API.

Description

API calls

First 1 million in a month.

Description

No charge

API calls

Over 1 million in a month.

Description

Starting at

$10

per 100,000 API calls

Dataplex shuffle storage pricing

Description

Shuffle storage pricing covers any disk storage specified in the environments configured for the data exploration workbench.

Price (USD)

Starting at

$0.040

per GB-month

Other usage

Description

Data organization features in Dataplex (lake, zone, or asset setup) and security policy application and propagation, are provided free of charge.

Price (USD)

Some Dataplex functionalities trigger job execution via Dataproc, BigQuery, and Dataflow. Usages for those services are charged according to their respective pricing models, and charges will show up under those services as such.

Description

Explore pricing

Visit the Dataplex pricing to see pricing per region and more.

Custom Quote

Connect with our sales team to get a custom quote for your organization.

Start your proof of concept

New customers get $300 in free credits

What is data governance?

How Dataplex works

Dataplex best practices

Explore Data Catalog code samples

Partners & Integration

Partnering with industry leaders
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  • tableau
  • accenture
  • Confluent
  • Collibra logo
  • hcl
  • informatica logo
  • nvidia logo
  • starburst logo
  • tableau

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