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What is Trino?

Trino is an exceptionally swift query engine engineered for remarkable performance. This high-efficiency, distributed SQL query engine is specifically designed for big data analytics, allowing users to explore their extensive data landscapes. Built for peak efficiency, Trino shines in low-latency analytics and is widely adopted by some of the biggest companies worldwide to execute queries on exabyte-scale data lakes and massive data warehouses. It supports various use cases, such as interactive ad-hoc analytics, long-running batch queries that can extend for hours, and high-throughput applications that demand quick sub-second query responses. Complying with ANSI SQL standards, Trino is compatible with well-known business intelligence tools like R, Tableau, Power BI, and Superset. Additionally, it enables users to query data directly from diverse sources, including Hadoop, S3, Cassandra, and MySQL, thereby removing the burdensome, slow, and error-prone processes related to data copying. This feature allows users to efficiently access and analyze data from different systems within a single query. Consequently, Trino's flexibility and power position it as an invaluable tool in the current data-driven era, driving innovation and efficiency across industries.

What is StarRocks?

No matter if your project consists of a single table or multiple tables, StarRocks promises a remarkable performance boost of no less than 300% when stacked against other commonly used solutions. Its extensive range of connectors allows for the smooth ingestion of streaming data, capturing information in real-time and guaranteeing that you have the most current insights at your fingertips. Designed specifically for your unique use cases, the query engine enables flexible analytics without the hassle of moving data or altering SQL queries, which simplifies the scaling of your analytics capabilities as needed. Moreover, StarRocks not only accelerates the journey from data to actionable insights but also excels with its unparalleled performance, providing a comprehensive OLAP solution that meets the most common data analytics demands. Its sophisticated caching system, leveraging both memory and disk, is specifically engineered to minimize the I/O overhead linked with data retrieval from external storage, which leads to significant enhancements in query performance while ensuring overall efficiency. Furthermore, this distinctive combination of features empowers users to fully harness the potential of their data, all while avoiding unnecessary delays in their analytic processes. Ultimately, StarRocks represents a pivotal tool for those seeking to optimize their data analysis and operational productivity.

Media

Media

Integrations Supported

Amazon S3
Apache Iceberg
CelerData Cloud
Databricks
MySQL
SQL
Unity Catalog
Amazon Web Services (AWS)
Azure Marketplace
Cassandra
Presto
R
SecuPi
Stackable
icCube

Integrations Supported

Amazon S3
Apache Iceberg
CelerData Cloud
Databricks
MySQL
SQL
Unity Catalog
Bytebase
IBM watsonx.data
LeetCode
Trino

API Availability

API Availability

Pricing Information

Free
Open source
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS
Windows

Supported Platforms

Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Trino

Company Website

trino.io

Company Facts

Organization Name

StarRocks

Company Location

United States

Company Website

www.starrocks.io

Categories and Features

Big Data

Not specified

Database

Not specified

OLAP Databases

Not specified

Query Engines

Not specified

Categories and Features

OLAP Databases

Not specified

Query Engines

Not specified

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