Some of the biggest companies in the world are contributing to the Presto open source project. These key innovations are only available in Linux Foundation Presto today.
Different engines for different workloads means you will have to re-platform down the road.
With Presto, you get 1 familiar ANSI SQL language and 1 engine for your data analytics so you don't need to graduate to another lakehouse engine. Presto can be used for interactive and batch workloads, small and large amounts of data, and scales from a few to thousands of users.
Most data teams have different engines for different workloads on their data lake storage, and each engine has its own language and interface.
Presto gives you one simple ANSI SQL interface for all of your data in various siloed data systems, helping you join your data ecosystem together. Presto's connector architecture enables you to query data where it lives.
Data infrastructure costs can explode, especially with proprietary systems like data warehouses, as the data size and users workloads grow.
Presto is battle-tested at Meta and Uber and can scale to meet growing data sizes and workloads. It's faster and more efficient than other engines because it's optimized for large numbers of small queries, so you can query data at better price-performance compared to proprietary systems.
Use SQL to run ad hoc queries whenever you want, wherever your data resides. Presto allows you to query data where it’s stored so you don’t have to ETL data into a separate system.
Query data across multiple sources to build one Presto view of reports and dashboards for Presto self-service BI business intelligence.
Through one interface, Presto acts as more than just a query engine as it sits at the core of your data ecosystem, helping to tie it all together by solving data problems at scale.