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ETL Apache Hive data with Trifacta

CATEGORY: Big Data & NoSQL      STATUS: Available


Apache Hive is a data warehouse software project built on top of Apache Hadoop for providing data query and analysis.

ETL data from data repositories and business-critical applications such as Salesforce, HubSpot, ServiceNow, Zuora, etc. into Apache Hive in seconds. With Trifacta's Apache Hive data connector, you can transform, automate, and monitor your Apache Hive data pipeline in real-time. No code required.


Join Apache Hive data with any data source

Combine datasets from any data source with Apache Hive. Connect to any data - Trifacta's data integration workflow supports a wide variety of cloud data lakes, data warehouses, applications, open APIs, file systems, and allows for flexible execution, including SQL, dbt, Spark, and Python. Whether it's joining Apache Hive data with your Salesforce CRM data, an Excel or CSV file, or a JSON file, Trifacta's visual workflow lets you interactively access, preview, and standardize joined data with ease.

Apache Hive Screenshot

Apache Hive to your data warehouse in minutes

ETL your Apache Hive data to the destination of your choice.


No-code automation for your Apache Hive data pipeline

Trifacta empowers everyone to easily build data engineering pipelines at scale. With a few simple clicks, automate your Apache Hive data pipeline. No more tedious manual uploads, resource-intensive transformations, and waiting for scheduled tasks. Deploy and manage your self-service Apache Hive data pipeline in minutes not months.

Ensure quality data every time.

No matter how you need to enrich and transform data for Apache Hive, ensure that the end result is high-quality data, every time. Trifacta automatically surfaces outliers, missing data, and errors and its predictive transformation approach allows you to make the best possible transformations to your data.

Schedule, automate, repeat.

Automate your Apache Hive data pipelines with job scheduling so that the right data is in Apache Hive when you need it. When new data becomes available for Apache Hive, let your scheduled data pipelines do the work of preparing it for you—no manual intervention required.


"Designer Cloud allows us to quickly view and understand new datasets, and its flexibility supports our data transformation needs. The GUI is nicely designed, so the learning curve is minimal. Our initial data preparation work is now completed in minutes, not hours or days."


Use cases for the Apache Hive data connector

  • ETL Apache Hive data to Amazon Redshift

  • ETL Apache Hive data to Google BigQuery

  • ETL Apache Hive data to Snowflake

  • ETL Apache Hive data to Databricks

  • ETL Apache Hive data to MySQL

  • ETL Apache Hive data to Microsoft Azure

  • Join Apache Hive data with Google Sheets data

  • Prepare Apache Hive data for data visualization in Tableau

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