# Trino at Apple

DevFeed: [Trino at Apple](<https://devfeed.tech/articles/trino-at-apple-8694.md>)

Original publisher: [Read original article](<https://trino.io/blog/2022/11/28/trino-summit-2022-apple-recap.html>)

Author: Vinitha Gankidi, Yathi Peddyshetty, Brian Olsen

Published: 2022-11-28T00:00:00Z

Content type: article

Language: en

Sources: [Trino Blog](<https://devfeed.tech/sources/trino-blog.md>)

Topics: [Apache Iceberg](<https://devfeed.tech/topics/apache-iceberg.md>), [Kubernetes](<https://devfeed.tech/topics/kubernetes.md>), [autoscaling](<https://devfeed.tech/topics/autoscaling.md>), [interoperability](<https://devfeed.tech/topics/interoperability.md>), [A/B Testing](<https://devfeed.tech/topics/a-b-testing.md>), [Apache Cassandra](<https://devfeed.tech/topics/cassandra.md>), [Routing (disambiguation)](<https://devfeed.tech/topics/routing.md>)

Tags: [apple](<https://devfeed.tech/tags/apple.md>), [autoscaling](<https://devfeed.tech/tags/autoscaling.md>), [cassandra](<https://devfeed.tech/tags/cassandra.md>), [development](<https://devfeed.tech/tags/development.md>), [features](<https://devfeed.tech/tags/features.md>), [interoperability](<https://devfeed.tech/tags/interoperability.md>), [kubernetes](<https://devfeed.tech/tags/kubernetes.md>), [operator](<https://devfeed.tech/tags/operator.md>), [post](<https://devfeed.tech/tags/post.md>), [posts](<https://devfeed.tech/tags/posts.md>), [scale](<https://devfeed.tech/tags/scale.md>), [spark](<https://devfeed.tech/tags/spark.md>), [summit](<https://devfeed.tech/tags/summit.md>), [technical](<https://devfeed.tech/tags/technical.md>), [testing](<https://devfeed.tech/tags/testing.md>), [use-cases](<https://devfeed.tech/tags/use-cases.md>)

## AI overview

This post recaps how Apple deploys and operates Trino as a self-service service for analytics, federated querying, and A/B testing. Apple uses a Kubernetes operator and custom orchestrator to manage cluster lifecycles, provisioning, autoscaling, and related operational complexity. The article highlights Apple's use of Apache Iceberg, Hive, and Cassandra connectors, contributions improving Trino and Spark interoperability and Iceberg API coverage, current challenges, and planned community contributions.

## Source excerpt

This post continues a larger series of posts on the Trino Summit 2022 sessions. Following the Keynote: State of Trino session, engineers from Apple shared the current usage of Trino at Apple. They discuss how they support Trino as a service for multiple end-users, and the critical features that drew Apple to Trino. They wrap up with some challenges they have faced and some development they have planned to contribute to Trino.