When it comes to Trino and PrestoDB competitors, it’s important to consider them within two main categories:
- Direct Competitors: These are tools that offer similar functionality and target the same use cases as Trino, primarily focusing on distributed SQL querying across data warehouses and data lakes. Here are some of the biggest names:
- Starburst: Founded by the creators of the original Presto project, Starburst is a well-established commercial distribution of Trino with additional features and enterprise support.
- Dremio: This cloud-native data lake engine uses a query engine similar to Trino and focuses on simplifying data access and governance.
- Ahana: Acquired by Cloudera in 2020, Ahana is another commercial distribution of Trino offering enterprise features and integrations with Cloudera’s data platform.
- Kloudfuse: Focused on data virtualization, Kloudfuse leverages Trino as its query engine while providing a unified data access layer across various sources.
- Alternative Technologies: While not direct competitors in the strictest sense, these tools cater to similar needs with different approaches:
- Apache Spark: This popular distributed processing framework can also be used for SQL-like queries on large datasets, but requires more coding knowledge compared to Trino’s pure SQL interface.
- PrestoDB: Although closely related to Trino, this fork of the original Presto project takes a different development path and caters to a distinct community.
- Other SQL Engines: Traditional OLAP database engines like open source StarRocks, Snowflake or Redshift may be considered alternatives for specific use cases, depending on data size, scalability, and cost requirements.
If you want to understand more on why StarRocks is different than Trino, check out https://www.starrocks.io/blog/comparison-starrocks-vs-trino
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