AWS Redshift
Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to analyze all your data using standard SQL and existing Business Intelligence tools.
APIs
Amazon Redshift API
The Amazon Redshift API provides programmatic access to create and manage Amazon Redshift clusters and their associated resources including snapshots, parameter groups, subnet g...
Amazon Redshift Data API
The Amazon Redshift Data API enables you to run SQL statements without managing connections via a secure HTTP endpoint. It supports both synchronous and asynchronous SQL executi...
Amazon Redshift Serverless API
API for Amazon Redshift Serverless, which makes it easy to run analytics workloads without managing data warehouse infrastructure. Automatically provisions and scales data wareh...
Capabilities
Amazon Redshift Data Warehouse Workflow
Workflow capability for managing Amazon Redshift clusters and executing SQL queries for data analytics.
Run with NaftikoFeatures
Store and query petabytes of structured and semi-structured data with columnar storage.
Query data using standard SQL and connect with existing BI tools via JDBC/ODBC.
Distribute SQL operations across multiple nodes for high-performance query execution.
Store data in columnar format for efficient analytical query performance and compression.
Automated and manual snapshots for point-in-time recovery of your cluster data.
Share live data across Redshift clusters and accounts without copying data.
Run Amazon Redshift ML to create, train, and deploy machine learning models using SQL.
Run analytics workloads without managing cluster infrastructure with Redshift Serverless.
Query data across operational databases, data warehouses, and data lakes.
Advanced Query Accelerator for up to 10x faster query performance using distributed hardware-accelerated cache.
Use Cases
Power BI dashboards and reports with fast analytical queries over large datasets.
Analyze application logs and clickstream data for operational insights.
Process financial transactions and generate regulatory reports over historical data.
Query data in Amazon S3 data lakes using Redshift Spectrum without loading.
Build and deploy ML models directly within the warehouse using SQL with Redshift ML.
Integrations
Load data from S3 and query data lake files using Redshift Spectrum.
Catalog and ETL data into Redshift from various data sources.
Connect QuickSight for BI visualization directly to Redshift.
Manage fine-grained data access controls across Redshift and S3.
Export training data and import ML model results from SageMaker.
Transform data in Redshift using dbt data transformation framework.
Connect Tableau via JDBC/ODBC for interactive data visualization.