Security News > 2020 > April > Imply 3.3: Optimizing analytics spend and improving time to insight on freshest data

Imply, the real-time intelligence company, announced Imply 3.3, featuring enhancements that help customers optimize their analytics spend and improve time to insight on their freshest data, while extending Imply's leading real-time analytics performance to a broader set of queries.

The addition of JOIN operations broadens Druid's performance advantage over data warehouses and data lake query engines by leveraging Druid's architectural advantages such as advanced indexing and horizontal query distribution.

Previously, multiple data sets would have to be "Flattened" into a single table which included redundant data and made updates expensive.

Now multiple data sets can be used "As is," simplifying data pipelines and creating substantial savings by reducing storage costs, data ingestion costs and maintenance costs.

"Digital transformation has spawned huge amounts of continuously flowing data. Our customers' challenge is to bring that data to bear on day-to-day decisions, cost-effectively," said Fangjin Yang, chief executive officer and co-founder of Imply.

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