Accelerate Insights and Analytics with SQL Access to Data Lakes
Pick the right SQL engine for your Big Data workloads
SQL query access to your data lakes is essential to accelerate the time to value of data. There are several modern engines that allow SQL queries to various raw data formats in data lakes.
How do you decide which engine to use for your specific needs? This insightful white paper provides:
- An architectural overview, advantages, and limitations of the three most popular engines—Presto, Hive and Spark.
- A framework to choose the best SQL Engine for your use case and data workload.
Insights into how companies like Tivo and Ibotta benefited from self-serve access to their data lakes with multiple SQL engines.