--- title: "Data Query overview" slug: "dataquery-overview" updated: 2026-09-17T09:18:10Z published: 2026-09-17T09:18:10Z canonical: "guide.ncloud-docs.com/dataquery-overview" --- > ## Documentation Index > Fetch the complete documentation index at: https://guide.ncloud-docs.com/llms.txt > Use this file to discover all available pages before exploring further. # Data Query overview Available in VPC The Data Query service provides a serverless interactive query service that allows for easy analysis of large scale structured or unstructured data. You can execute queries quickly and easily using standard SQL in a convenient environment that does not require data format and infrastructure management. ## Data Query features Data Query offers these key features: - Convenient query environment: Powered by Trino, a SQL engine optimized for large‑scale analytics.Includes template queries that help you write SQL quickly. - Integrated analytics with Data Catalog: Integrates with NAVER Cloud Platform’s Data Catalog service so you can browse and analyze data scattered across multiple repositories. - Effective SQL query management: Effective features are provided to reuse previously executed query results or save frequently used queries. You can also check detailed information about executed queries in Query history. - Flexible serverless environment: As a serverless service, it provides high availability through auto scaling and auto routing. You can execute queries that are optimized for your data set and the complexity of your query. ## Data Query user guide Data Query is available in the Korean Region. Use this guide to get the most out of Data Query. - [Data Query overview](/docs/en/dataquery-overview): Learn about the service and find helpful resources. - [Data Query prerequisites](/docs/en/dataquery-spec): View supported specifications, personal information collection and use, and pricing information. - [Data Query quickstart](/docs/en/dataquery-procedure): Follow a step‑by‑step guide through the entire process. - Getting started: Learn how to manage subscriptions. - [Prepare data source](/docs/en/dataquery-datasetup-vpc): Learn how to prepare source data for querying. - [Manage subscriptions](/docs/en/dataquery-start-vpc): Subscribe to and manage your Data Query. - Using Data Query: Learn how to access Data Query from the NAVER Cloud Platform console. - [Dashboard](/docs/en/dataquery-dashboard-vpc): Check key usage metrics for Data Query. - Query Editor: Add data sources and run queries. - [Query Editor interface](/docs/en/dataquery-screen-vpc): Learn the layout of the **Query Editor** menu. - [Add and manage data sources](/docs/en/dataquery-source-vpc): Register prepared data sources and manage data sources and their tables. - [Run and manage queries](/docs/en/dataquery-query-vpc): Run queries, use dry runs, and save queries. - [View results](/docs/en/dataquery-response-vpc) View and download query results and configure related options. - [Query history](/docs/en/dataquery-history-vpc): Review your query execution history. - SDK: Learn how to use SDK Client provided by Data Query. - [Python Client](/docs/en/dataquery-python-client-vpc): Learn how to use Python Client. - [Go Client](/docs/en/dataquery-go-client-vpc): Learn how to use Go Client. - CLI & JDBC: Learn how to use CLI and JDBC provided by Data Query. - [CLI](/docs/en/dataquery-cli-vpc): Learn how to use CLI. - [JDBC](/docs/en/dataquery-jdbc-vpc): Learn how to use JDBC. - Connect to external BI: Learn how to connect Data Query from an external BI tool. - [External BI prerequisites](/docs/en/dataquery-bi-preparing-vpc): Preparations for external BI connection. - [Superset](/docs/en/dataquery-bi-superset-vpc): Learn how to integrate with Apache Superset. - [Zeppelin](/docs/en/dataquery-bi-zeppelin-vpc): Learn how to integrate with Apache Zeppelin. - Data Query examples: Learn how to analyze user data with Data Query and use template queries. - [Use Load Balancer access log](/docs/en/dataquery-example-lb-accesslog-vpc): How to manage Load Balancer access log data, and analysis examples using template queries. - [Use Object Storage bucket access log](/docs/en/dataquery-example-objectstorage-bucketlog-vpc): How to manage bucket access log data, and analysis examples using template queries. - [Data Query permissions management](/docs/en/dataquery-subaccount-vpc): Manage accounts using NAVER Cloud Platform’s Sub Account. - [Data Query resource management](/docs/en/dataquery-resource): Manage resources using NAVER Cloud Platform’s Resource Manager and Cloud Activity Tracer. - [Data Query glossary](/docs/en/dataquery-glossary): Find key terms and definitions. - [Data Query release notes](/docs/en/dataquery-releasenote): See documentation updates. ## Data Query related resources Beyond the user guide, these resources provide additional context and support for Data Query. Whether you're considering Data Query or need in-depth information for development, marketing, and other purposes, these resources can help: - Learn more about Data Query - [Ncloud user environment guide](/docs/en/environment-environment-1-1): Explore VPC environment and supported services. - [Pricing and features](https://www.ncloud.com/product/analytics/dataQuery): View pricing details and key capabilities. - [Latest announcements](https://www.ncloud.com/intro/news): Stay informed about service updates and news. - [Customer Support](https://www.ncloud.com/support/question/service): Get help if you can't find what you need in the user guide. - Learn about integrated services - [Data Catalog user guide](/docs/en/datacatalog-overview): How to use Data Catalog, the repository for source data. - [Object Storage user guide](/docs/en/storage-storage-6-1): How to create Object Storage buckets as repositories for source data and query results. - [Sub Account user guide](/docs/en/subaccount-overview): Manage team access for Data Query.