Redis integrations to save data teams 40 hours a week

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Start using Redis integrations in three easy steps

Integrate Redis connector in Airbyte

Choose a source connector to extract data

Connect Redis as a source in Airbyte to start the data extraction process - without deep technical expertise.

Choose a source connector from 400+ integrations available on Airbyte to start the data extraction process - without deep technical expertise.

Send Redis data anywhere you need it

Store your data inside Redis destination

Choose from 50+ Airbyte destinations, including warehouses, databases, and lakes, to store and analyze your Redis data.

Choose Redis from 50+ Airbyte destinations, including warehouses, databases, and lakes, to store and analyze the data from the source connector.

Configure your Redis data synchronization

Configure the integration for data synchronization

Select the Redis streams you need and define your sync frequency. Airbyte lets you choose exactly which data to load and where it lands for full pipeline control.

Select the streams you need and define your sync frequency. Airbyte lets you choose exactly which data to load and where it lands for full pipeline control.

Redis integrations let you do all these:

Sync Redis data to BigQuery for advanced analytics

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Replicate Redis data into PostgreSQL for structured querying

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Get insights by merging Redis data with HubSpot

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Export Redis data to Google Sheets for analysis

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Redis integrations let you do all these:

Sync Google Analytics data to Redis for analysis

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Load PostgreSQL data in to Redis effortlessly

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Keep Notion data fresh in Redis with automated syncs

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Manage Salesforce data in Redis BigQuery for analytics

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All about Redis integrations

What are Redis integrations?

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Why choose Airbyte for Redis data integration?

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What data can you extract from Airbyte’s Redis integration?

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What data can you load to Redis?

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How often does Airbyte sync my Redis data?

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Do I need coding experience to use the Redis integrations?

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About Redis

Redis is an open-source, in-memory data structure store that can be used as a database, cache, and message broker. It supports a wide range of data structures such as strings, hashes, lists, sets, and sorted sets. Redis is known for its high performance, scalability, and flexibility. It can handle millions of requests per second and can be used in a variety of applications such as real-time analytics, messaging, and session management. Redis also provides advanced features such as pub/sub messaging, Lua scripting, and transactions. It is widely used by companies such as Twitter, GitHub, and StackOverflow.