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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 Qubole?

Qubole distinguishes itself as a user-friendly, accessible, and secure Data Lake Platform specifically designed for machine learning, streaming, and on-the-fly analysis. Our all-encompassing platform facilitates the efficient execution of Data pipelines, Streaming Analytics, and Machine Learning operations across any cloud infrastructure, significantly cutting down both time and effort involved in these processes. No other solution offers the same level of openness and flexibility for managing data workloads as Qubole, while achieving over a 50 percent reduction in expenses associated with cloud data lakes. By allowing faster access to vast amounts of secure, dependable, and credible datasets, we empower users to engage with both structured and unstructured data for a variety of analytics and machine learning tasks. Users can seamlessly conduct ETL processes, analytics, and AI/ML functions in a streamlined workflow, leveraging high-quality open-source engines along with diverse formats, libraries, and programming languages customized to meet their data complexities, service level agreements (SLAs), and organizational policies. This level of adaptability not only enhances operational efficiency but also ensures that Qubole remains the go-to choice for organizations looking to refine their data management strategies while staying at the forefront of technological innovation. Ultimately, Qubole’s commitment to continuous improvement and user satisfaction solidifies its position in the competitive landscape of data solutions.

Media

Media

Integrations Supported

SQL
CelerData Cloud
Compass
DQOps
DataClarity Unlimited Analytics
Datadog
Endeavor
GrowthBook
JavaScript
Kubernetes
Presto
R
SecuPi
Unity Catalog
Visual Studio Code

Integrations Supported

SQL
Acxiom Real Identity
Ascend
Google Cloud Managed Service for Apache Spark
Privacera

API Availability

API Availability

Pricing Information

Free
Open source
Free Version

Pricing Information

Pricing not provided
Free Version

Supported Platforms

SaaS
Windows

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Trino

Company Website

trino.io

Company Facts

Organization Name

Qubole

Company Location

United States

Company Website

www.qubole.com

Categories and Features

Big Data

Not specified

Database

Not specified

OLAP Databases

Not specified

Query Engines

Not specified

Categories and Features

Big Data

Collaboration
Data Blends
High Volume Processing

Data Lake

Not specified

NoSQL Database

Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management

Query Engines

Not specified

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