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
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.
Data governance in BigQuery
To support the end-to-end data life cycle 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.
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.
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.
Common Uses
Data to AI governance
Data to AI governance with Dataplex and Vertex AI
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.
Tutorials, quickstarts, & labs
Data to AI governance with Dataplex and Vertex AI
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.
Build a data mesh
Use Dataplex to 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.
Tutorials, quickstarts, & labs
Use Dataplex to 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.
Democratize data insights
Democratize data insights with Dataplex Data Catalog
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.
Tutorials, quickstarts, & labs
Democratize data insights with Dataplex Data Catalog
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.
Pricing
| Dataplex pricing | Dataplex pricing is based on pay-as-you-go usage. | |
|---|---|---|
| Service and usage | Description | Price (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. | $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 Up to 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 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. Those usages are charged according to each pricing model respectively, and charges will show up as such. | ||
Dataplex pricing
Dataplex pricing is based on pay-as-you-go usage.
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.
$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
Up to 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
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.
Get pricing by region
Custom Quote
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
Partners
Explore all partners in Google Cloud Partner Center.
