Amazon Redshift
Provides fast, scalable, and cost-effective data warehousing with seamless AWS integration, enabling organizations to analyze petabyte-scale datasets using familiar SQL tools and business intelligence applications.
Last updated May 11, 2026 by ATDb automated enrichment · Connections updated Jun 1, 2026
- Industry
- Data Infrastructure/Cloud Data Warehouse
- Business Model
- Cloud Service (Usage-based)
- Target Market
- Enterprise
- Stock Symbol
- AMZN
- Parent Company
- Amazon Web Services (AWS)
- API Available
- Yes
Leading cloud data warehouse provider, part of AWS ecosystem
Amazon Redshift is a cloud-based data warehouse service offered by Amazon Web Services (AWS), launched in 2012. It provides a scalable, fully managed solution for storing and analyzing massive amounts of structured and semi-structured data using SQL and existing business intelligence tools. Redshift uses columnar storage technology and massively parallel processing (MPP) to deliver fast query performance on datasets ranging from gigabytes to petabytes. In the AdTech ecosystem, Redshift serves as a critical data infrastructure component, enabling advertisers, publishers, and ad platforms to store, process, and analyze large volumes of advertising data including impressions, clicks, conversions, and user behavior. It integrates seamlessly with other AWS services and third-party tools, making it a popular choice for building data pipelines and analytics platforms. Major AdTech companies use Redshift to power their data warehousing needs, real-time bidding analytics, audience segmentation, and campaign performance reporting. Redshift competes in the cloud data warehouse market against Google BigQuery, Snowflake, and Microsoft Azure Synapse Analytics. Its tight integration with the broader AWS ecosystem, competitive pricing model, and proven scalability have made it one of the leading data warehouse solutions for enterprises across industries, including advertising technology.
Redshift Provisioned Clusters
Traditional cluster-based data warehouse with configurable compute and storage resources
Redshift Serverless
Serverless option that automatically scales compute capacity based on workload demands
Redshift Spectrum
Query data directly from S3 without loading it into Redshift tables
Redshift ML
Create, train, and deploy machine learning models using SQL commands
Concurrency Scaling
Automatically adds cluster capacity to handle concurrent queries
Federated Query
Query data across Redshift, RDS, and Aurora databases