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Ratings and Reviews 388 Ratings

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 Denodo?

Denodo is an enterprise data management platform designed to deliver live, unified, governed, and business-ready data for AI agents, analytics, applications, and self-service users. It uses logical data management to connect information across hybrid, multi-cloud, on-premises, SaaS, lakehouse, and third-party environments without moving or duplicating data. The platform helps organizations break down data silos by creating a single trusted access layer over distributed systems. Denodo supports trustworthy AI by giving agents real-time situational awareness, relevant enterprise context, consistent semantics, and compliance guardrails. Its zero-copy approach helps organizations reduce data replication, simplify integration, and avoid delays caused by traditional pipeline-heavy architectures. The platform also provides a personalized data marketplace where users can search, discover, prepare, and use governed data with less IT involvement. Denodo’s governance capabilities enforce consistent policies across cloud and on-premises environments while supporting fine-grained oversight, lineage, and compliance controls. Its real-time query optimization allows teams to make decisions using current data while keeping infrastructure costs under control. Business-contextual semantics help tailor data delivery for different roles, use cases, applications, and AI models. Denodo can support use cases such as AI agents and apps, lakehouse optimization, real-time operations, data products, and enterprise self-service analytics. With faster insight delivery, stronger governance, and trusted data access, Denodo helps organizations create a reliable foundation for agentic AI and modern data-driven operations.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Azure Marketplace
Google Cloud Platform
Microsoft Azure
SecuPi
Tableau
Velotix
Apache Maven
Cassandra
DataHub
Datadog
JavaScript
Microsoft Power BI
Mitzu
MySQL
NoSQL
WrenAI

Integrations Supported

Amazon Web Services (AWS)
Azure Marketplace
Google Cloud Platform
Microsoft Azure
SecuPi
Tableau
Velotix
Vertica
Zoho DataPrep
data.world

API Availability

API Availability

Pricing Information

Free
Open source
Free Version

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
Windows

Supported Platforms

SaaS
Windows

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Trino

Company Website

trino.io

Company Facts

Organization Name

Denodo Technologies

Date Founded

1999

Company Location

United States

Company Website

www.denodo.com

Categories and Features

Big Data

Not specified

Database

Not specified

OLAP Databases

Not specified

Query Engines

Not specified

Categories and Features

Big Data

Data Visualization

Data Catalog

Not specified

Data Fabric

Data Access Management

Data Integration

Not specified

Data Management

Not specified

Data Preparation

Not specified

Data Virtualization

Not specified

Data Warehouse

Not specified

Integration

Metadata Management
Multiple Data Sources
Web Services

Semantic Layer

Not specified

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