Trino
Trino is an open-source, distributed SQL query engine built for lightning-fast analytics over large, heterogeneous data sets. Originally forked from Presto (which emerged at Facebook), it supports ANSI-compliant SQL across a wide range of storage systems from data lakes (S3, HDFS, Iceberg) to relational and NoSQL databases (MySQL, PostgreSQL, Cassandra, MongoDB, Elasticsearch, Kafka, and more).
Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.
API Evangelist profiles Trino the way a machine reads it — 179 machine-readable artifacts across 2 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Trino scores 56.1/100 (developing), with a separate agent-readiness read of 39/100 (agent aware). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
How we profile Trino
Each block below is one kind of artifact we hold for Trino. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 2
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Trino Cluster API
Cluster status and node information
Trino Queries API
Submit and manage SQL queries
Open Collections 1
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Trino Client REST API
OPEN COLLECTIONPricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Trino Plans Pricing
PLANSRate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Trino Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Trino Finops
FINOPSFeatures 126
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
Notable capabilities this provider offers.
C# Client Driver
Go Client Driver
JDBC
ODBC
Python Client Driver
Elixir Client Driver
Simba JDBC Client Driver
R Client Driver
Ruby Client Driver
Rust Client Driver
Command Line Interface
Grafana
Apache Airflow
Apache DolphinScheduler
Coginiti
Cube
DBeaver
dbt
DbVisualizer
Emacs
FugueSQL
Great Expectations
Harlequin
Hue
Ibis
IBM Cognos Analytics
JetBrains Datagrip
Jupy SQL
Logi Symphony
Looker
Metabase
Microstrategy
Mitzu
Mode
PopSQL
Power BI
Querybook
Quix
Redash
SQuirrel SQL
Tableau
VSCode
waii
Wren AI
yanagishima
Zing Data
Spill to disk
Resource groups
Session property managers
Distributed sort
Dynamic filtering
Graceful shutdown
Fault-tolerant execution
HTTP event listener
Kafka event listener
MySQL event listener
OpenLineage event listener
Client protocol
HTTP server
Resource management
Query management
Catalog management
SQL environment
Spilling
Exchange
Task
Write partitioning
Writer scaling
Node scheduler
Optimizer
Logging
Web UI
Regular expression function
HTTP client
Table statistics
Cost in EXPLAIN
Cost-based optimizations
Pushdown
Adaptive plan optimizations
Amazon Redshift
Apache Cassandra
Apache Druid
Apache Ignite
Apache Kafka
Apache Pinot
Clickhouse
Datafaker
Elasticsearch
Exasol
Google BigQuery
Google Sheets
MariaDB
Microsoft SQL Server
MongoDB
MySQL
OpenSearch
Oracle
PostgreSQL
Prometheus
Redis
SingleStore
Snowflake
TPC
Vertica
Amazon Kinesis
Apache Accumulo
Apache Kudu
Apache Phoenix
Git
OpenAPI
VAST
JMX
Kubernetes
OpenLineage
Open Policy Agent
OpenTelemetry
Trino Gateway
Datadog
Gurubase
jOOQ
Minitrino
RudderStack
SQL Formatter
Testcontainers
Trino-lb
Workload Analyzer
Scroll within the panel for all 126 ·
Semantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Trino Context
JSON-LDSpectral Rules 2
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
Trino API Rules
SPECTRALTrino API Rules
SPECTRALJSON Schema 1
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
Trino Query Results
JSON SCHEMAJSON Structure 1
JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.
JSON Structure definitions describing this provider's data shapes.
Trino Query Results Structure
JSON STRUCTUREExamples 3
Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.
Example request and response payloads for these APIs.
Trino Cancel Query Example
EXAMPLESecurity Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Integrations 37
Pre-built integrations with other platforms tell you where this provider already fits in a stack.
Pre-built integrations with other platforms and tools.
BigQuery
Black Hole
Cassandra
ClickHouse
Delta Lake
Druid
DuckDB
Elasticsearch
Exasol
Faker
Google Sheets
Hive
Hudi
Iceberg
Ignite
JMX
Kafka
Loki
MariaDB
Memory
MongoDB
MySQL
OpenSearch
Oracle
Pinot
PostgreSQL
Prometheus
Redis
Redshift
SingleStore
Snowflake
SQL Server
System
Thrift
TPC-DS
TPC-H
Vertica
Scroll within the panel for all 37 ·
Resources
Every other property we hold for Trino — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 1
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 3
Pagination, idempotency, versioning, errors, and events
Build 5
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Company 2
The organization behind the API
Other 3
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/trino · machine-readable index on apis.io