Yandex Query
An interactive data virtualization service for engineers and analysts that enables real-time analytics and streaming queries on structured and semi-structured data using YQL, an SQL dialect.
A significantly easier development process is made possible by features like serverless computing, a unified YQL query format, and standardized approaches to analytics and streaming data processing.
Intersystem analytics
Use Yandex Query to run federated queries directly to Object Storage, PostgreSQL, and ClickHouse®, aggregate the results, and process them as a whole.
Streaming data processing
Stream processing is based on grouping window functions that receive data streams, group them by source and time window, then run calculations, with the results sent to external systems.
Analytical queries to S3
Analytic queries in Yandex Query can retrieve data from Yandex Object Storage in JSON, CSV, TSV, Parquet, and other formats.
Fully managed service
All of the resources needed to execute requests are allocated at launch and released upon completion, with request execution starting immediately.
Generic queries
Create a query once and reuse it for data analytics scripts stored in Yandex Object Storage and real-time data analytics.
Integration with Yandex Cloud services
Run queries on Object Storage with real-time Data Streams, and aggregate query results between these systems.
FAQ
How does Yandex Query work?
How does Yandex Query work?
Yandex Query brings together data virtualization and real-time streaming analytics. This architecture is called Unified Lambda. The Unified Lambda model uses a unified SQL query text for processing streaming data and data stored in storage systems of different classes.
What types of data can Yandex Query transfer?
What types of data can Yandex Query transfer?
Get started with Yandex Query
Useful links
Debezium is a registered trademark of Red Hat, Inc. in the United States and/or other countries.
ClickHouse is a registered trademark of ClickHouse, Inc.