Redis Labs and Databricks Integration

Redis Labs and Databricks Integration

Redis Labs and Databricks Integrate Redis and Apache Spark

Databricks’ cloud-based Spark workspace integrates with Redise Cloud, enabling Databricks users to serve Spark processes and SQL queries with Redise Cloud and allowing RediseCloud users to instantly run analytics processing using Databricks’ cloud-based Spark clusters.

Customers benefit from being able to access the power of Spark integrated with the real-time high performance of Redis. Analytics can shift from being post-facto to inline and instantaneous with the combination of these two powerful big data engines.

spark_and_redis

Highlights of the integration

Databricks’ cloud-based Spark workspace users can use Redise Cloud seamlessly to serve Spark processes and SQL queries. See an example in this notebook.

Use the Redis-Spark connector to accelerate time-series data analysis

Use the Redis-ML module to store, update and serve machine learning models created in Apache Spark from Redis

Related Resources

Get started with Redise and Spark
The Redis -Spark timeseries benchmark
Watch the machine learning model serving webinar
Read our blog on Spark and Redis
Read our blog on Spark Machine Learning and Redis-ML