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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 Apache Impala?

Impala provides swift response times and supports a large number of simultaneous users for business intelligence and analytical queries within the Hadoop framework, working seamlessly with technologies such as Iceberg, various open data formats, and numerous cloud storage options. It is engineered for effortless scalability, even in multi-tenant environments. Furthermore, Impala is compatible with Hadoop's native security protocols and employs Kerberos for secure authentication, while also utilizing the Ranger module for meticulous user and application authorization based on the specific data access requirements. This compatibility allows organizations to maintain their existing file formats, data architectures, security protocols, and resource management systems, thus avoiding redundant infrastructure and unnecessary data conversions. For users already familiar with Apache Hive, Impala's compatibility with the same metadata and ODBC driver simplifies the transition process. Similar to Hive, Impala uses SQL, which eliminates the need for new implementations. Consequently, Impala enables a greater number of users to interact with a broader range of data through a centralized repository, facilitating access to valuable insights from initial data sourcing to final analysis without sacrificing efficiency. This makes Impala a vital resource for organizations aiming to improve their data engagement and analysis capabilities, ultimately fostering better decision-making and strategic planning.

Media

Media

Integrations Supported

Apache Iceberg
Hadoop
OpenMetadata
SQL
Amazon Web Services (AWS)
Apache Maven
Cassandra
Codd AI
Compass
DQOps
DataHub
Datadog
DbVisualizer
GrowthBook
Kubernetes
MySQL
Presto
SecuPi
Stackable

Integrations Supported

Apache Iceberg
Hadoop
OpenMetadata
SQL
Apache Hive

API Availability

API Availability

Pricing Information

Free
Open source
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS
Windows

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

Trino

Company Website

trino.io

Company Facts

Organization Name

Apache

Company Location

United States

Company Website

impala.apache.org

Categories and Features

Big Data

Not specified

Database

Not specified

OLAP Databases

Not specified

Query Engines

Not specified

Categories and Features

Database

Not specified

Query Engines

Not specified

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