ETL Redis data with Trifacta

CATEGORY: Big Data & NoSQL      STATUS: Available


Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker.

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


Join Redis data with any data source

Combine datasets from any data source with your Redis data. 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 Redis 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.

Redis Screenshot

Redis to your data warehouse in minutes

ETL your Redis data to the destination of your choice.


No-code automation for your Redis data pipeline

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

Ensure quality data every time.

No matter how you need to combine and transform data stored in Redis, 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 Redis data pipelines with job scheduling so that the right data is in your Redis database when you need it. When new data lands in your Redis database, 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 Redis data connector

  • ETL Redis data to Amazon Redshift

  • ETL Redis data to Google BigQuery

  • ETL Redis data to Snowflake

  • ETL Redis data to Databricks

  • ETL Redis data to MySQL

  • ETL Redis data to Microsoft Azure

  • Join Redis data with Google Sheets data

  • Prepare Redis data for data visualization in Tableau

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