{
  "slug": "aws-redshiftsagemaker",
  "name": "Aws Redshiftsagemaker (Redshift ML)",
  "description": "Aws Redshiftsagemaker refers to the integration between Amazon Redshift, a cloud data warehouse, and Amazon SageMaker, a machine learning platform. It allows data analysts to create, train, and deploy machine learning models directly from Redshift using standard SQL commands.",
  "url": "https://optimly.ai/brand/aws-redshiftsagemaker",
  "logoUrl": "",
  "baiScore": 28,
  "archetype": "Misread",
  "category": "Cloud Computing",
  "categorySlug": null,
  "keyFacts": [],
  "aiReadiness": [],
  "competitors": [
    {
      "slug": "bigquery-ml-bqml",
      "name": "Bigquery Ml Bqml"
    },
    {
      "slug": "databricks-mosaic-ai",
      "name": "Databricks Mosaic AI"
    }
  ],
  "inboundCompetitors": [
    {
      "slug": "google-cloud-bigquery-vertex-ai",
      "name": "Google Cloud (BigQuery/Vertex AI)"
    }
  ],
  "aiAlternatives": [
    {
      "slug": "databricks",
      "name": "Databricks"
    },
    {
      "slug": "google-cloud-vertex-ai",
      "name": "Google Cloud Vertex AI"
    }
  ],
  "parentBrand": {
    "slug": "amazon-web-services-aws",
    "name": "Amazon Web Services (AWS)"
  },
  "subBrands": [],
  "updatedAt": "2026-04-10T19:01:28.317+00:00",
  "verifiedVitals": {
    "website": "https://aws.amazon.com/redshift/features/machine-learning/",
    "founded": "2020 (as Redshift ML)",
    "headquarters": "Seattle, WA",
    "pricing_model": "Usage-based (Separate charges for Redshift and SageMaker)",
    "core_products": "Amazon Redshift ML, SageMaker Autopilot integration",
    "key_differentiator": "Enables users with SQL skills to perform machine learning without leaving their data warehouse environment.",
    "target_markets": "Data Analysts, Data Scientists, Enterprise IT",
    "employee_count": "Not publicly available",
    "funding_stage": "Not publicly available",
    "subcategory": "Machine Learning Operations (MLOps)"
  },
  "timestamp": 1776026008227
}