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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 Polars?

Polars presents a robust Python API that embodies standard data manipulation techniques, offering extensive capabilities for DataFrame management via an expressive language that promotes both clarity and efficiency in code creation. Built using Rust, Polars strategically designs its DataFrame API to meet the specific demands of the Rust community. Beyond merely functioning as a DataFrame library, it also acts as a formidable backend query engine for various data models, enhancing its adaptability for data processing and evaluation. This versatility not only appeals to data scientists but also serves the needs of engineers, making it an indispensable resource in the field of data analysis. Consequently, Polars stands out as a tool that combines performance with user-friendliness, fundamentally enhancing the data handling experience.

Media

Media

Integrations Supported

SDF
SQL
Amazon S3
Apache Phoenix
CelerData Cloud
Coginiti
DataHub
GrowthBook
Hue
Kubernetes
Mitzu
MySQL
NoSQL
Onehouse
OpenMetadata
Simba
Stackable

Integrations Supported

SDF
SQL
Node.js
ZenML

API Availability

API Availability

Has API

Pricing Information

Free
Open source
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows

Supported Platforms

SaaS

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

Polars

Company Website

www.pola.rs/

Categories and Features

Big Data

Not specified

Database

Not specified

OLAP Databases

Not specified

Query Engines

Not specified

Categories and Features

Big Data

Not specified

Query Engines

Not specified

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