Trino/Presto Alternative
Compare Trino/Presto to StarRocks
Designed for the analytics needs of modern enterprises, StarRocks delivers the capabilities and performance. Trino and Presto can't say the same.
Trino and Presto can't say the same.Trino and Apache Presto are arguably the most popular open source engines for data lakehouse queries. Compared to their predecessors like Hive, Trino and Presto can reduce query latencies from tens of minutes to tens of seconds. While these performance improvements were good years ago, it's not enough for modern analytics work. Today, Trino and Presto users struggle with interactive query scenarios where query latency needs to be in the sub-second range to support their ad-hoc queries, operational analytics, and user-facing analytics.
Comparison
|
|
|
Query engine |
![]() |
![]() |
Query executions |
|
|
Real-time analytics |
|
|
Concurrency supports |
![]() |
|
Data lake queries and local storage support |
![]() |
|
Materialized views support |
![]() |
|
Point of failure |
![]() |
|
StarRocks vs. Trino and Presto
14.6x
GREATER PERFORMANCE WITH STARROCKS' NATIVE TABLE
5.54x
GREATER PERFORMANCE WITH STARROCKS ON DATA LAKES
10k QPS
HIGH PERFORMANCE EVEN WITH 1,000S OF CONCURRENT USERS
Why More Presto and Trino Users
Are Switching to StarRocks
These leading enterprises have made the move from Trino/Presto to StarRocks.
Learn how they've supercharged query performance, eliminated maintenance work, and accelerated insights:

Deliver unparalleled performance in any scenario

Work with the freshest data, even on your data lake

Accelerate your analytics with intelligent materialized views

Explore our in-depth guide and learn about the key differences between Trino and StarRocks. See how StarRocks offers unique competitive advantages over Trino, backed by real customer case studies.
Read the Guide Now