Apache Solr 6 contains a number of exciting capabilities for building next generation search and analytics applications. Join Solr committers Tim Potter and Grant Ingersoll for a deep dive into two key Solr 6 features: Parallel SQL and Graph.

This webinar will cover:

  • Why SQL on Solr? This new feature set provides fast primary key lookups, full-text search, and large table scans to any JDBC-compliant SQL client / BI visualization tool.
  • Nuts and Bolts: How Solr’s parallel SQL engine works under-the-hood, including aggregations, grouping, filters, sorting, and joins.
  • How Solr’s SQL engine compares to Impala, Hive, and Drill.
  • Use Case: How Lucidworks Fusion uses SQL to query Solr from Spark.
  • Why Graph on Solr? When and where to leverage Solr’s new graph capabilities.
  • Solr’s Graph capabilities versus Elasticsearch, Neo4J, and GraphX.