OtterTune website screenshot

OtterTune

OtterTune was a database optimization ("on autopilot") start-up spun out of Carnegie Mellon University's database research group, operating from roughly 2020 to 2024. It applied machine learning to automatically tune the configuration knobs of PostgreSQL and MySQL databases (including managed instances such as Amazon RDS and Aurora) to improve performance and reduce cost. The company shut down in 2024 and its homepage now states the company is defunct. Its public GitHub organization remains available with infrastructure and agent tooling (ot-agent, Helm chart, CloudFormation/Terraform templates). This API Evangelist profile was added as a portfolio-company lead of Accel and captures the residual public footprint of a now-inactive company rather than a live API surface.

OtterTune is profiled on the APIs.io network. Tagged areas include Company, Big Data, Database, Database Optimization, and Machine-Learning.

0 APIs
CompanyBig DataDatabaseDatabase OptimizationMachine-LearningPostgreSQLMySQLDefunct

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Ottertune Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 1

Authentication, authorization, and security posture

Company 1

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: ottertune
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - none
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/ottertune.png
name: OtterTune
description: OtterTune was a database optimization ("on autopilot") start-up spun out of Carnegie Mellon University's database
  research group, operating from roughly 2020 to 2024. It applied machine learning to automatically tune the configuration
  knobs of PostgreSQL and MySQL databases (including managed instances such as Amazon RDS and Aurora) to improve performance
  and reduce cost. The company shut down in 2024 and its homepage now states the company is defunct. Its public GitHub organization
  remains available with infrastructure and agent tooling (ot-agent, Helm chart, CloudFormation/Terraform templates). This
  API Evangelist profile was added as a portfolio-company lead of Accel and captures the residual public footprint of a now-inactive
  company rather than a live API surface.
url: https://raw.githubusercontent.com/api-evangelist/ottertune/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- accel
x-tier: stub
x-tier-reason: portfolio-lead
x-status: defunct
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Big Data
- Database
- Database Optimization
- Machine-Learning
- PostgreSQL
- MySQL
- Defunct
tags_raw:
- Company
- Big Data
- Database
- Database Optimization
- Machine Learning
- PostgreSQL
- MySQL
- Defunct
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/ottertune-domain-security.yml
- type: Website
  url: https://ottertune.com/
- type: GitHubOrganization
  url: https://github.com/ottertune
x-enrichment:
  date: '2026-07-20'
  status: minimal
  artifacts_added: 1
  pass: local-v1

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