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Redis to Google BigQuery Data Integration
The leading hybrid-cloud solution for Google BigQuery integration. Automated continuous ETL/ELT data replication from Redis to Google BigQuery.
Whether you're managing operational reporting, connecting data for analytics, or ensuring disaster recovery, CData Sync's no-code approach to data integration simplifies the process of putting Redis data to work.
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Redis:
Redis is an open-source, in-memory data structure store that can be used as a database, cache, and message broker. It supports various data structures such as strings, lists, sets, and hashes, and provides high performance and scalability. Redis is commonly used in web applications for caching and real-time analytics.
Google BigQuery:
Google BigQuery is a fully managed, serverless data warehouse that enables users to analyze massive datasets quickly and easily using SQL queries. It offers real-time analytics, machine learning integration, and seamless scalability, making it ideal for businesses looking to extract valuable insights from their data without the need for complex infrastructure management.
Integrate Redis and Google BigQuery with CData Sync
CData Sync provides a straightforward way to continuously pipeline your Redis data to any database, data lake, or data warehouse, making it easily available to analytics, reporting, AI, and machine learning.
- Synchronize data with a wide range of traditional and emerging databases including Google BigQuery.
- Replicate Redis data to database's and data warehouse systems to facilitate operational reporting, BI, and analytics.
- Offload queries from Redis to reduce load and increase performance.
- Connect Redis to business analytics for BI and decision support.
- Archive Redis data for disaster recovery.
Integrate Redis with Google BigQuery
Redis Data Integration Features
Simple no-code Redis data integration
Ditch the code and complex setups to move more data in less time. Connect Redis to any destination with drag-and-drop ease.
Hassle-free data pipelines in minutes
Incremental updates and automatic schema replication eliminate the headaches of Redis data integration, ensuring Google BigQuery always has the latest data.
Don't pay for every row
Replicate all the data that matters with predictable, transparent pricing. Unlimited replication between Redis and Google BigQuery.
