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Hive to Google BigQuery Data Integration
The leading hybrid-cloud solution for Google BigQuery integration. Automated continuous ETL/ELT data replication from Hive 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 Hive data to work.
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Hive:
Apache Hive is an open-source data warehouse infrastructure built on top of Hadoop for querying and analyzing large datasets stored in Hadoop's distributed file system. It provides a SQL-like interface for users to write queries and supports data summarization, ad-hoc querying, and analysis of structured and semi-structured data.
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 Hive and Google BigQuery with CData Sync
CData Sync provides a straightforward way to continuously pipeline your Apache Hive 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 Hive data to database's and data warehouse systems to facilitate operational reporting, BI, and analytics.
- Offload queries from Hive to reduce load and increase performance.
- Connect Hive to business analytics for BI and decision support.
- Archive Apache Hive data for disaster recovery.
Integrate Hive with Google BigQuery
Hive Data Integration Features
Simple no-code Hive data integration
Ditch the code and complex setups to move more data in less time. Connect Hive to any destination with drag-and-drop ease.
Hassle-free data pipelines in minutes
Incremental updates and automatic schema replication eliminate the headaches of Hive 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 Hive and Google BigQuery.
