Interview, Fireside Chat
a16z Podcast | A Conversation With the Inventor of Spark
- Companies are expected to adopt Spark to process large data volumes for interactive querying, addressing MapReduce limitations and improving user experience.
- Databricks plans to maintain low barriers for open source contributions by investing in testing infrastructure and expanding documentation and examples.
- The ecosystem is projected to expand as other open source projects integrate with Spark, with Hadoop-based systems like Hive, Pig, and Mahout anticipated to migrate.
- Additional data storage projects, including MongoDB, Cassandra, and Tachyon, are expected to connect to Spark to enable application code reuse across storage systems.
- Strategic integrations are anticipated, such as IBM aligning Spark with Watson and database products, while enterprises like Toyota may utilize social media data for real-time product adjustments and component issue detection.
- Spark will be commercialized via a cloud service that preserves its fully open source status, ensuring all company-developed libraries and improvements remain accessible to the public.
- The leadership expresses that the project's widespread adoption was not initially anticipated.