Presto
Claim this toolQuery petabytes of data across diverse sources with lightning-fast, open-source SQL.
Free, no paid tierVisit WebsiteFree Visit Website
Tracked since 2026
The Bottom Line
- Price
- Free, no paid tier. Compare plans
Key facts
- Open-source SQL query engine for massive datasets.
- Queries data across multiple sources with high performance.
- Scales from small to petabyte-sized workloads.
Pros
- Extremely fast query performance on large datasets
- Ability to query diverse data sources with a single SQL interface
- Scalable for various workload sizes
- Backed by a strong open-source community and Linux Foundation
- Free to use and open-source
Cons
- Requires technical expertise for setup and management
- Membership to the Presto Foundation for governance influence is paid
What is Presto?
Presto is a free, open-source distributed SQL query engine designed for high-performance analytics on massive datasets. It allows users to query data residing in various data sources, including data lakes, lakehouses, and NoSQL databases, using standard SQL. Presto is built for speed, leveraging in-memory processing to deliver sub-second query performance, making it suitable for both ad-hoc analytics and powering real-time applications.
This tool is ideal for developers, data engineers, and data scientists who need to perform complex queries on large, distributed datasets efficiently. Its ability to access data anywhere with a single SQL interface simplifies data access and analysis across heterogeneous environments. As a Linux Foundation project, Presto benefits from a vibrant open-source community, ensuring continuous development and enterprise-grade governance.
Available on: Web
Louis Corneloup Source prestodb.io ↗
Key Features
- Query massive datasets across multiple data sources
- Sub-second query performance
- Supports ad hoc analytics and real-time applications
- Access data lakes, lakehouses, NoSQL, and more with SQL
- In-memory SQL engine for fast performance
- Scales from tiny to petabytes for interactive and batch workloads
- Open-source project under the Linux Foundation
Pricing Plans
Pricing checked Oct 5, 2026
| Plan | Price | Details |
|---|---|---|
| Open Source | Free |
+6 more Show less
|
Is Presto worth the price?
Great value
Presto's pricing is exceptionally generous, as the core product is entirely open source and free.
This makes it an incredibly cost-effective solution for data querying. It's best for organizations that have the technical expertise to deploy and manage open-source software.
Reviews
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Presto FAQ
How does Presto enable high-performance analytics on large datasets?
Presto is a distributed SQL query engine designed for speed, leveraging in-memory processing to deliver sub-second query performance. This makes it highly effective for both ad-hoc analytics and powering real-time applications on massive datasets.
Which teams would benefit most from using Presto?
Presto is ideal for developers, data engineers, and data scientists who need to perform complex queries on large, distributed datasets efficiently. Its single SQL interface simplifies data access and analysis across heterogeneous environments.
How is Presto priced?
Presto is free to use as an open-source project, meaning there is no paid plan required to utilize its core functionalities. While the software itself is free, membership to the Presto Foundation for governance influence is paid.
What kind of data sources can Presto query?
Presto allows users to query data residing in various data sources, including data lakes, lakehouses, and NoSQL databases. It provides a single SQL interface to access data anywhere across diverse systems.
What are the main trade-offs when implementing Presto?
A primary trade-off with Presto is that it requires technical expertise for setup and ongoing management. While the software is free, organizations may need to invest in skilled personnel to deploy and maintain it effectively.
How does Presto compare to Trino for querying diverse data?
Presto, like Trino, is an open-source distributed SQL query engine designed for high-performance analytics across various data sources. Presto is built for speed, leveraging in-memory processing to deliver sub-second query performance on massive datasets.
Can Presto be used for real-time applications?
Yes, Presto's design for speed and sub-second query performance makes it suitable for powering real-time applications. It can handle high-performance analytics on massive datasets, which is crucial for real-time use cases.
Source: prestodb.io